Publications

Displaying 101 - 160 of 160
  • Rissman, L., & Majid, A. (2019). Agency drives category structure in instrumental events. In A. K. Goel, C. M. Seifert, & C. Freksa (Eds.), Proceedings of the 41st Annual Meeting of the Cognitive Science Society (CogSci 2019) (pp. 2661-2667). Montreal, QB: Cognitive Science Society.

    Abstract

    Thematic roles such as Agent and Instrument have a long-standing place in theories of event representation. Nonetheless, the structure of these categories has been difficult to determine. We investigated how instrumental events, such as someone slicing bread with a knife, are categorized in English. Speakers described a variety of typical and atypical instrumental events, and we determined the similarity structure of their descriptions using correspondence analysis. We found that events where the instrument is an extension of an intentional agent were most likely to elicit similar language, highlighting the importance of agency in structuring instrumental categories.
  • Rossi, G. (2010). Interactive written discourse: Pragmatic aspects of SMS communication. In G. Garzone, P. Catenaccio, & C. Degano (Eds.), Diachronic perspectives on genres in specialized communication. Conference Proceedings (pp. 135-138). Milano: CUEM.
  • Sadakata, M., Van der Zanden, L., & Sekiyama, K. (2010). Influence of musical training on perception of L2 speech. In Proceedings of the 11th Annual Conference of the International Speech Communication Association (Interspeech 2010), Makuhari, Japan (pp. 118-121).

    Abstract

    The current study reports specific cases in which a positive transfer of perceptual ability from the music domain to the language domain occurs. We tested whether musical training enhances discrimination and identification performance of L2 speech sounds (timing features, nasal consonants and vowels). Native Dutch and Japanese speakers with different musical training experience, matched for their estimated verbal IQ, participated in the experiments. Results indicated that musical training strongly increases one’s ability to perceive timing information in speech signals. We also found a benefit of musical training on discrimination performance for a subset of the tested vowel contrasts.
  • Sauter, D. (2010). Non-verbal emotional vocalizations across cultures [Abstract]. In E. Zimmermann, & E. Altenmüller (Eds.), Evolution of emotional communication: From sounds in nonhuman mammals to speech and music in man (pp. 15). Hannover: University of Veterinary Medicine Hannover.

    Abstract

    Despite differences in language, culture, and ecology, some human characteristics are similar in people all over the world, while other features vary from one group to the next. These similarities and differences can inform arguments about what aspects of the human mind are part of our shared biological heritage and which are predominantly products of culture and language. I will present data from a cross-cultural project investigating the recognition of non-verbal vocalizations of emotions, such as screams and laughs, across two highly different cultural groups. English participants were compared to individuals from remote, culturally isolated Namibian villages. Vocalizations communicating the so-called “basic emotions” (anger, disgust, fear, joy, sadness, and surprise) were bidirectionally recognised. In contrast, a set of additional positive emotions was only recognised within, but not across, cultural boundaries. These results indicate that a number of primarily negative emotions are associated with vocalizations that can be recognised across cultures, while at least some positive emotions are communicated with culture-specific signals. I will discuss these findings in the context of accounts of emotions at differing levels of analysis, with an emphasis on the often-neglected positive emotions.
  • Sauter, D., Crasborn, O., & Haun, D. B. M. (2010). The role of perceptual learning in emotional vocalizations [Abstract]. In C. Douilliez, & C. Humez (Eds.), Third European Conference on Emotion 2010. Proceedings (pp. 39-39). Lille: Université de Lille.

    Abstract

    Many studies suggest that emotional signals can be recognized across cultures and modalities. But to what extent are these signals innate and to what extent are they learned? This study investigated whether auditory learning is necessary for the production of recognizable emotional vocalizations by examining the vocalizations produced by people born deaf. Recordings were made of eight congenitally deaf Dutch individuals, who produced non-verbal vocalizations of a range of negative and positive emotions. Perception was examined in a forced-choice task with hearing Dutch listeners (n = 25). Considerable variability was found across emotions, suggesting that auditory learning is more important for the acquisition of certain types of vocalizations than for others. In particular, achievement and surprise sounds were relatively poorly recognized. In contrast, amusement and disgust vocalizations were well recognized, suggesting that for some emotions, recognizable vocalizations can develop without any auditory learning. The implications of these results for models of emotional communication are discussed, and other routes of social learning available to the deaf individuals are considered.
  • Sauter, D., Crasborn, O., & Haun, D. B. M. (2010). The role of perceptual learning in emotional vocalizations [Abstract]. Journal of the Acoustical Society of America, 128, 2476.

    Abstract

    Vocalizations like screams and laughs are used to communicate affective states, but what acoustic cues in these signals require vocal learning and which ones are innate? This study investigated the role of auditory learning in the production of non-verbal emotional vocalizations by examining the vocalizations produced by people born deaf. Recordings were made of congenitally deaf Dutch individuals and matched hearing controls, who produced non-verbal vocalizations of a range of negative and positive emotions. Perception was examined in a forced-choice task with hearing Dutch listeners (n = 25), and judgments were analyzed together with acoustic cues, including envelope, pitch, and spectral measures. Considerable variability was found across emotions and acoustic cues, and the two types of information were related for a sub-set of the emotion categories. These results suggest that auditory learning is less important for the acquisition of certain types of vocalizations than for others (particularly amusement and relief), and they also point to a less central role for auditory learning of some acoustic features in affective non-verbal vocalizations. The implications of these results for models of vocal emotional communication are discussed.
  • Schiller, N. O., Van Lieshout, P. H. H. M., Meyer, A. S., & Levelt, W. J. M. (1997). Is the syllable an articulatory unit in speech production? Evidence from an Emma study. In P. Wille (Ed.), Fortschritte der Akustik: Plenarvorträge und Fachbeiträge der 23. Deutschen Jahrestagung für Akustik (DAGA 97) (pp. 605-606). Oldenburg: DEGA.
  • Schoenmakers, G.-J., & De Swart, P. (2019). Adverbial hurdles in Dutch scrambling. In A. Gattnar, R. Hörnig, M. Störzer, & S. Featherston (Eds.), Proceedings of Linguistic Evidence 2018: Experimental Data Drives Linguistic Theory (pp. 124-145). Tübingen: University of Tübingen.

    Abstract

    This paper addresses the role of the adverb in Dutch direct object scrambling constructions. We report four experiments in which we investigate whether the structural position and the scope sensitivity of the adverb affect acceptability judgments of scrambling constructions and native speakers' tendency to scramble definite objects. We conclude that the type of adverb plays a key role in Dutch word ordering preferences.
  • Schuerman, W. L., McQueen, J. M., & Meyer, A. S. (2019). Speaker statistical averageness modulates word recognition in adverse listening conditions. In S. Calhoun, P. Escudero, M. Tabain, & P. Warren (Eds.), Proceedings of the 19th International Congress of Phonetic Sciences (ICPhS 20195) (pp. 1203-1207). Canberra, Australia: Australasian Speech Science and Technology Association Inc.

    Abstract

    We tested whether statistical averageness (SA) at the level of the individual speaker could predict a speaker’s intelligibility. 28 female and 21 male speakers of Dutch were recorded producing 336 sentences,
    each containing two target nouns. Recordings were compared to those of all other same-sex speakers using dynamic time warping (DTW). For each sentence, the DTW distance constituted a metric
    of phonetic distance from one speaker to all other speakers. SA comprised the average of these distances. Later, the same participants performed a word recognition task on the target nouns in the same sentences, under three degraded listening conditions. In all three conditions, accuracy increased with SA. This held even when participants listened to their own utterances. These findings suggest that listeners process speech with respect to the statistical
    properties of the language spoken in their community, rather than using their own speech as a reference
  • Schuppler, B., Ernestus, M., Van Dommelen, W., & Koreman, J. (2010). Predicting human perception and ASR classification of word-final [t] by its acoustic sub-segmental properties. In Proceedings of the 11th Annual Conference of the International Speech Communication Association (Interspeech 2010), Makuhari, Japan (pp. 2466-2469).

    Abstract

    This paper presents a study on the acoustic sub-segmental properties of word-final /t/ in conversational standard Dutch and how these properties contribute to whether humans and an ASR system classify the /t/ as acoustically present or absent. In general, humans and the ASR system use the same cues (presence of a constriction, a burst, and alveolar frication), but the ASR system is also less sensitive to fine cues (weak bursts, smoothly starting friction) than human listeners and misled by the presence of glottal vibration. These data inform the further development of models of human and automatic speech processing.
  • Scott, D. R., & Cutler, A. (1982). Segmental cues to syntactic structure. In Proceedings of the Institute of Acoustics 'Spectral Analysis and its Use in Underwater Acoustics' (pp. E3.1-E3.4). London: Institute of Acoustics.
  • Seidlmayer, E., Galke, L., Melnychuk, T., Schultz, C., Tochtermann, K., & Förstner, K. U. (2019). Take it personally - A Python library for data enrichment for infometrical applications. In M. Alam, R. Usbeck, T. Pellegrini, H. Sack, & Y. Sure-Vetter (Eds.), Proceedings of the Posters and Demo Track of the 15th International Conference on Semantic Systems co-located with 15th International Conference on Semantic Systems (SEMANTiCS 2019).

    Abstract

    Like every other social sphere, science is influenced by individual characteristics of researchers. However, for investigations on scientific networks, only little data about the social background of researchers, e.g. social origin, gender, affiliation etc., is available.
    This paper introduces ”Take it personally - TIP”, a conceptual model and library currently under development, which aims to support the
    semantic enrichment of publication databases with semantically related background information which resides elsewhere in the (semantic) web, such as Wikidata.
    The supplementary information enriches the original information in the publication databases and thus facilitates the creation of complex scientific knowledge graphs. Such enrichment helps to improve the scientometric analysis of scientific publications as they can also take social backgrounds of researchers into account and to understand social structure in research communities.
  • Seijdel, N., Sakmakidis, N., De Haan, E. H. F., Bohte, S. M., & Scholte, H. S. (2019). Implicit scene segmentation in deeper convolutional neural networks. In Proceedings of the 2019 Conference on Cognitive Computational Neuroscience (pp. 1059-1062). doi:10.32470/CCN.2019.1149-0.

    Abstract

    Feedforward deep convolutional neural networks (DCNNs) are matching and even surpassing human performance on object recognition. This performance suggests that activation of a loose collection of image
    features could support the recognition of natural object categories, without dedicated systems to solve specific visual subtasks. Recent findings in humans however, suggest that while feedforward activity may suffice for
    sparse scenes with isolated objects, additional visual operations ('routines') that aid the recognition process (e.g. segmentation or grouping) are needed for more complex scenes. Linking human visual processing to
    performance of DCNNs with increasing depth, we here explored if, how, and when object information is differentiated from the backgrounds they appear on. To this end, we controlled the information in both objects
    and backgrounds, as well as the relationship between them by adding noise, manipulating background congruence and systematically occluding parts of the image. Results indicated less distinction between object- and background features for more shallow networks. For those networks, we observed a benefit of training on segmented objects (as compared to unsegmented objects). Overall, deeper networks trained on natural
    (unsegmented) scenes seem to perform implicit 'segmentation' of the objects from their background, possibly by improved selection of relevant features.
  • Senft, G. (1991). Bakavilisi Biga - we can 'turn' the language - or: What happens to English words in Kilivila language? In W. Bahner, J. Schildt, & D. Viehwegger (Eds.), Proceedings of the XIVth International Congress of Linguists (pp. 1743-1746). Berlin: Akademie Verlag.
  • Senghas, A., Ozyurek, A., & Goldin-Meadow, S. (2010). The evolution of segmentation and sequencing: Evidence from homesign and Nicaraguan Sign Language. In A. D. Smith, M. Schouwstra, B. de Boer, & K. Smith (Eds.), Proceedings of the 8th International conference on the Evolution of Language (EVOLANG 8) (pp. 279-289). Singapore: World Scientific.
  • Seuren, P. A. M. (1991). Notes on noun phrases and quantification. In Proceedings of the International Conference on Current Issues in Computational Linguistics (pp. 19-44). Penang, Malaysia: Universiti Sains Malaysia.
  • Seuren, P. A. M. (1982). Riorientamenti metodologici nello studio della variabilità linguistica. In D. Gambarara, & A. D'Atri (Eds.), Ideologia, filosofia e linguistica: Atti del Convegno Internazionale di Studi, Rende (CS) 15-17 Settembre 1978 ( (pp. 499-515). Roma: Bulzoni.
  • Seuren, P. A. M. (1991). What makes a text untranslatable? In H. M. N. Noor Ein, & H. S. Atiah (Eds.), Pragmatik Penterjemahan: Prinsip, Amalan dan Penilaian Menuju ke Abad 21 ("The Pragmatics of Translation: Principles, Practice and Evaluation Moving towards the 21st Century") (pp. 19-27). Kuala Lumpur: Dewan Bahasa dan Pustaka.
  • Shattuck-Hufnagel, S., & Cutler, A. (1999). The prosody of speech error corrections revisited. In J. Ohala, Y. Hasegawa, M. Ohala, D. Granville, & A. Bailey (Eds.), Proceedings of the Fourteenth International Congress of Phonetic Sciences: Vol. 2 (pp. 1483-1486). Berkely: University of California.

    Abstract

    A corpus of digitized speech errors is used to compare the prosody of correction patterns for word-level vs. sound-level errors. Results for both peak F0 and perceived prosodic markedness confirm that speakers are more likely to mark corrections of word-level errors than corrections of sound-level errors, and that errors ambiguous between word-level and soundlevel (such as boat for moat) show correction patterns like those for sound level errors. This finding increases the plausibility of the claim that word-sound-ambiguous errors arise at the same level of processing as sound errors that do not form words.
  • Shen, C., & Janse, E. (2019). Articulatory control in speech production. In S. Calhoun, P. Escudero, M. Tabain, & P. Warren (Eds.), Proceedings of the 19th International Congress of Phonetic Sciences (ICPhS 2019) (pp. 2533-2537). Canberra, Australia: Australasian Speech Science and Technology Association Inc.
  • Shen, C., Cooke, M., & Janse, E. (2019). Individual articulatory control in speech enrichment. In M. Ochmann, M. Vorländer, & J. Fels (Eds.), Proceedings of the 23rd International Congress on Acoustics (pp. 5726-5730). Berlin: Deutsche Gesellschaft für Akustik.

    Abstract

    ndividual talkers may use various strategies to enrich their speech while speaking in noise (i.e., Lombard speech) to improve their intelligibility. The resulting acoustic-phonetic changes in Lombard speech vary amongst different speakers, but it is unclear what causes these talker differences, and what impact these differences have on intelligibility. This study investigates the potential role of articulatory control in talkers’ Lombard speech enrichment success. Seventy-eight speakers read out sentences in both their habitual style and in a condition where they were instructed to speak clearly while hearing loud speech-shaped noise. A diadochokinetic (DDK) speech task that requires speakers to repetitively produce word or non-word sequences as accurately and as rapidly as possible, was used to quantify their articulatory control. Individuals’ predicted intelligibility in both speaking styles (presented at -5 dB SNR) was measured using an acoustic glimpse-based metric: the High-Energy Glimpse Proportion (HEGP). Speakers’ HEGP scores show a clear effect of speaking condition (better HEGP scores in the Lombard than habitual condition), but no simple effect of articulatory control on HEGP, nor an interaction between speaking condition and articulatory control. This indicates that individuals’ speech enrichment success as measured by the HEGP metric was not predicted by DDK performance.
  • Sikveland, A., Öttl, A., Amdal, I., Ernestus, M., Svendsen, T., & Edlund, J. (2010). Spontal-N: A Corpus of Interactional Spoken Norwegian. In N. Calzolari, K. Choukri, B. Maegaard, J. Mariani, J. Odijk, S. Piperidis, & D. Tapias (Eds.), Proceedings of the Seventh conference on International Language Resources and Evaluation (LREC'10) (pp. 2986-2991). Paris: European Language Resources Association (ELRA).

    Abstract

    Spontal-N is a corpus of spontaneous, interactional Norwegian. To our knowledge, it is the first corpus of Norwegian in which the majority of speakers have spent significant parts of their lives in Sweden, and in which the recorded speech displays varying degrees of interference from Swedish. The corpus consists of studio quality audio- and video-recordings of four 30-minute free conversations between acquaintances, and a manual orthographic transcription of the entire material. On basis of the orthographic transcriptions, we automatically annotated approximately 50 percent of the material on the phoneme level, by means of a forced alignment between the acoustic signal and pronunciations listed in a dictionary. Approximately seven percent of the automatic transcription was manually corrected. Taking the manual correction as a gold standard, we evaluated several sources of pronunciation variants for the automatic transcription. Spontal-N is intended as a general purpose speech resource that is also suitable for investigating phonetic detail.
  • Simon, E., Escudero, P., & Broersma, M. (2010). Learning minimally different words in a third language: L2 proficiency as a crucial predictor of accuracy in an L3 word learning task. In K. Diubalska-Kolaczyk, M. Wrembel, & M. Kul (Eds.), Proceedings of the Sixth International Symposium on the Acquisition of Second Language Speech (New Sounds 2010).
  • Spilková, H., Brenner, D., Öttl, A., Vondřička, P., Van Dommelen, W., & Ernestus, M. (2010). The Kachna L1/L2 picture replication corpus. In N. Calzolari, K. Choukri, B. Maegaard, J. Mariani, J. Odijk, S. Piperidis, & D. Tapias (Eds.), Proceedings of the Seventh conference on International Language Resources and Evaluation (LREC'10) (pp. 2432-2436). Paris: European Language Resources Association (ELRA).

    Abstract

    This paper presents the Kachna corpus of spontaneous speech, in which ten Czech and ten Norwegian speakers were recorded both in their native language and in English. The dialogues are elicited using a picture replication task that requires active cooperation and interaction of speakers by asking them to produce a drawing as close to the original as possible. The corpus is appropriate for the study of interactional features and speech reduction phenomena across native and second languages. The combination of productions in non-native English and in speakers’ native language is advantageous for investigation of L2 issues while providing a L1 behaviour reference from all the speakers. The corpus consists of 20 dialogues comprising 12 hours 53 minutes of recording, and was collected in 2008. Preparation of the transcriptions, including a manual orthographic transcription and an automatically generated phonetic transcription, is currently in progress. The phonetic transcriptions are automatically generated by aligning acoustic models with the speech signal on the basis of the orthographic transcriptions and a dictionary of pronunciation variants compiled for the relevant language. Upon completion the corpus will be made available via the European Language Resources Association (ELRA).
  • Staum Casasanto, L., Jasmin, K., & Casasanto, D. (2010). Virtually accommodating: Speech rate accommodation to a virtual interlocutor. In S. Ohlsson, & R. Catrambone (Eds.), Proceedings of the 32nd Annual Conference of the Cognitive Science Society (pp. 127-132). Austin, TX: Cognitive Science Society.

    Abstract

    Why do people accommodate to each other’s linguistic behavior? Studies of natural interactions (Giles, Taylor & Bourhis, 1973) suggest that speakers accommodate to achieve interactional goals, influencing what their interlocutor thinks or feels about them. But is this the only reason speakers accommodate? In real-world conversations, interactional motivations are ubiquitous, making it difficult to assess the extent to which they drive accommodation. Do speakers still accommodate even when interactional goals cannot be achieved, for instance, when their interlocutor cannot interpret their accommodation behavior? To find out, we asked participants to enter an immersive virtual reality (VR) environment and to converse with a virtual interlocutor. Participants accommodated to the speech rate of their virtual interlocutor even though he could not interpret their linguistic behavior, and thus accommodation could not possibly help them to achieve interactional goals. Results show that accommodation does not require explicit interactional goals, and suggest other social motivations for accommodation.
  • Stehouwer, H., & van Zaanen, M. (2010). Enhanced suffix arrays as language models: Virtual k-testable languages. In J. M. Sempere, & P. García (Eds.), Grammatical inference: Theoretical results and applications 10th International Colloquium, ICGI 2010, Valencia, Spain, September 13-16, 2010. Proceedings (pp. 305-308). Berlin: Springer.

    Abstract

    In this article, we propose the use of suffix arrays to efficiently implement n-gram language models with practically unlimited size n. This approach, which is used with synchronous back-off, allows us to distinguish between alternative sequences using large contexts. We also show that we can build this kind of models with additional information for each symbol, such as part-of-speech tags and dependency information. The approach can also be viewed as a collection of virtual k-testable automata. Once built, we can directly access the results of any k-testable automaton generated from the input training data. Synchronous back- off automatically identies the k-testable automaton with the largest feasible k. We have used this approach in several classification tasks.
  • Stehouwer, H., & Van Zaanen, M. (2010). Finding patterns in strings using suffix arrays. In M. Ganzha, & M. Paprzycki (Eds.), Proceedings of the International Multiconference on Computer Science and Information Technology, October 18–20, 2010. Wisła, Poland (pp. 505-511). IEEE.

    Abstract

    Finding regularities in large data sets requires implementations of systems that are efficient in both time and space requirements. Here, we describe a newly developed system that exploits the internal structure of the enhanced suffixarray to find significant patterns in a large collection of sequences. The system searches exhaustively for all significantly compressing patterns where patterns may consist of symbols and skips or wildcards. We demonstrate a possible application of the system by detecting interesting patterns in a Dutch and an English corpus.
  • Stehouwer, H., & van Zaanen, M. (2010). Using suffix arrays as language models: Scaling the n-gram. In Proceedings of the 22st Benelux Conference on Artificial Intelligence (BNAIC 2010), October 25-26, 2010.

    Abstract

    In this article, we propose the use of suffix arrays to implement n-gram language models with practically unlimited size n. These unbounded n-grams are called 1-grams. This approach allows us to use large contexts efficiently to distinguish between different alternative sequences while applying synchronous back-off. From a practical point of view, the approach has been applied within the context of spelling confusibles, verb and noun agreement and prenominal adjective ordering. These initial experiments show promising results and we relate the performance to the size of the n-grams used for disambiguation.
  • Stivers, T., Enfield, N. J., & Levinson, S. C. (Eds.). (2010). Question-response sequences in conversation across ten languages [Special Issue]. Journal of Pragmatics, 42(10). doi:10.1016/j.pragma.2010.04.001.
  • Ten Bosch, L., Mulder, K., & Boves, L. (2019). Phase synchronization between EEG signals as a function of differences between stimuli characteristics. In Proceedings of Interspeech 2019 (pp. 1213-1217). doi:10.21437/Interspeech.2019-2443.

    Abstract

    The neural processing of speech leads to specific patterns in the brain which can be measured as, e.g., EEG signals. When properly aligned with the speech input and averaged over many tokens, the Event Related Potential (ERP) signal is able to differentiate specific contrasts between speech signals. Well-known effects relate to the difference between expected and unexpected words, in particular in the N400, while effects in N100 and P200 are related to attention and acoustic onset effects. Most EEG studies deal with the amplitude of EEG signals over time, sidestepping the effect of phase and phase synchronization. This paper investigates the relation between phase in the EEG signals measured in an auditory lexical decision task by Dutch participants listening to full and reduced English word forms. We show that phase synchronization takes place across stimulus conditions, and that the so-called circular variance is narrowly related to the type of contrast between stimuli.
  • Ter Bekke, M., Ozyurek, A., & Ünal, E. (2019). Speaking but not gesturing predicts motion event memory within and across languages. In A. Goel, C. Seifert, & C. Freksa (Eds.), Proceedings of the 41st Annual Meeting of the Cognitive Science Society (CogSci 2019) (pp. 2940-2946). Montreal, QB: Cognitive Science Society.

    Abstract

    In everyday life, people see, describe and remember motion events. We tested whether the type of motion event information (path or manner) encoded in speech and gesture predicts which information is remembered and if this varies across speakers of typologically different languages. We focus on intransitive motion events (e.g., a woman running to a tree) that are described differently in speech and co-speech gesture across languages, based on how these languages typologically encode manner and path information (Kita & Özyürek, 2003; Talmy, 1985). Speakers of Dutch (n = 19) and Turkish (n = 22) watched and described motion events. With a surprise (i.e. unexpected) recognition memory task, memory for manner and path components of these events was measured. Neither Dutch nor Turkish speakers’ memory for manner went above chance levels. However, we found a positive relation between path speech and path change detection: participants who described the path during encoding were more accurate at detecting changes to the path of an event during the memory task. In addition, the relation between path speech and path memory changed with native language: for Dutch speakers encoding path in speech was related to improved path memory, but for Turkish speakers no such relation existed. For both languages, co-speech gesture did not predict memory speakers. We discuss the implications of these findings for our understanding of the relations between speech, gesture, type of encoding in language and memory.
  • Torreira, F., & Ernestus, M. (2010). Phrase-medial vowel devoicing in spontaneous French. In Proceedings of the 11th Annual Conference of the International Speech Communication Association (Interspeech 2010), Makuhari, Japan (pp. 2006-2009).

    Abstract

    This study investigates phrase-medial vowel devoicing in European French (e.g. /ty po/ [typo] 'you can'). Our spontaneous speech data confirm that French phrase-medial devoicing is a frequent phenomenon affecting high vowels preceded by voiceless consonants. We also found that devoicing is more frequent in temporally reduced and coarticulated vowels. Complete and partial devoicing were conditioned by the same variables (speech rate, consonant type and distance from the end of the AP). Given these results, we propose that phrase-medial vowel devoicing in French arises mainly from the temporal compression of vocalic gestures and the aerodynamic conditions imposed by high vowels.
  • Torreira, F., & Ernestus, M. (2010). The Nijmegen corpus of casual Spanish. In N. Calzolari, K. Choukri, B. Maegaard, J. Mariani, J. Odijk, S. Piperidis, & D. Tapias (Eds.), Proceedings of the Seventh Conference on International Language Resources and Evaluation (LREC'10) (pp. 2981-2985). Paris: European Language Resources Association (ELRA).

    Abstract

    This article describes the preparation, recording and orthographic transcription of a new speech corpus, the Nijmegen Corpus of Casual Spanish (NCCSp). The corpus contains around 30 hours of recordings of 52 Madrid Spanish speakers engaged in conversations with friends. Casual speech was elicited during three different parts, which together provided around ninety minutes of speech from every group of speakers. While Parts 1 and 2 did not require participants to perform any specific task, in Part 3 participants negotiated a common answer to general questions about society. Information about how to obtain a copy of the corpus can be found online at http://mirjamernestus.ruhosting.nl/Ernestus/NCCSp
  • Troncoso Ruiz, A., Ernestus, M., & Broersma, M. (2019). Learning to produce difficult L2 vowels: The effects of awareness-rasing, exposure and feedback. In S. Calhoun, P. Escudero, M. Tabain, & P. Warren (Eds.), Proceedings of the 19th International Congress of Phonetic Sciences (ICPhS 2019) (pp. 1094-1098). Canberra, Australia: Australasian Speech Science and Technology Association Inc.
  • Tuinman, A., & Cutler, A. (2010). Casual speech processes: L1 knowledge and L2 speech perception. In K. Dziubalska-Kołaczyk, M. Wrembel, & M. Kul (Eds.), Proceedings of the 6th International Symposium on the Acquisition of Second Language Speech, New Sounds 2010, Poznań, Poland, 1-3 May 2010 (pp. 512-517). Poznan: Adama Mickiewicz University.

    Abstract

    Every language manifests casual speech processes, and hence every second language too. This study examined how listeners deal with second-language casual speech processes, as a function of the processes in their native language. We compared a match case, where a second-language process t/-reduction) is also operative in native speech, with a mismatch case, where a second-language process (/r/-insertion) is absent from native speech. In each case native and non-native listeners judged stimuli in which a given phoneme (in sentence context) varied along a continuum from absent to present. Second-language listeners in general mimicked native performance in the match case, but deviated significantly from native performance in the mismatch case. Together these results make it clear that the mapping from first to second language is as important in the interpretation of casual speech processes as in other dimensions of speech perception. Unfamiliar casual speech processes are difficult to adapt to in a second language. Casual speech processes that are already familiar from native speech, however, are easy to adapt to; indeed, our results even suggest that it is possible for subtle difference in their occurrence patterns across the two languages to be detected,and to be accommodated to in second-language listening.
  • Van Dooren, A., Tulling, M., Cournane, A., & Hacquard, V. (2019). Discovering modal polysemy: Lexical aspect might help. In M. Brown, & B. Dailey (Eds.), BUCLD 43: Proceedings of the 43rd annual Boston University Conference on Language Development (pp. 203-216). Sommerville, MA: Cascadilla Press.
  • Van Rees Vellinga, M., Hanulikova, A., Weber, A., & Zwitserlood, P. (2010). A neurophysiological investigation of processing phoneme substitutions in L2. In New Sounds 2010: Sixth International Symposium on the Acquisition of Second Language Speech (pp. 518-523). Poznan, Poland: Adam Mickiewicz University.
  • Van der Meij, L., Isaac, A., & Zinn, C. (2010). A web-based repository service for vocabularies and alignments in the cultural heritage domain. In L. Aroyo, G. Antoniou, E. Hyvönen, A. Ten Teije, H. Stuckenschmidt, L. Cabral, & T. Tudorache (Eds.), The Semantic Web: Research and Applications. 7th Extended Semantic Web Conference, Proceedings, Part I (pp. 394-409). Heidelberg: Springer.

    Abstract

    Controlled vocabularies of various kinds (e.g., thesauri, classification schemes) play an integral part in making Cultural Heritage collections accessible. The various institutions participating in the Dutch CATCH programme maintain and make use of a rich and diverse set of vocabularies. This makes it hard to provide a uniform point of access to all collections at once. Our SKOS-based vocabulary and alignment repository aims at providing technology for managing the various vocabularies, and for exploiting semantic alignments across any two of them. The repository system exposes web services that effectively support the construction of tools for searching and browsing across vocabularies and collections or for collection curation (indexing), as we demonstrate.
  • Van Gerven, M., & Simanova, I. (2010). Concept classification with Bayesian multi-task learning. In Proceedings of the NAACL HLT 2010 First Workshop on Computational Neurolinguistics (pp. 10-17). Los Angeles: Association for Computational Linguistics.

    Abstract

    Multivariate analysis allows decoding of single trial data in individual subjects. Since different models are obtained for each subject it becomes hard to perform an analysis on the group level. We introduce a new algorithm for Bayesian multi-task learning which imposes a coupling between single-subject models. Using
    the CMU fMRI dataset it is shown that the algorithm can be used for concept classification
    based on the average activation of regions in the AAL atlas. Concepts which were most easily classified correspond to the categories shelter,manipulation and eating, which is in accordance with the literature. The multi-task learning algorithm is shown to find regions of interest that are common to all subjects which
    therefore facilitates interpretation of the obtained
    models.
  • Van Ooijen, B., Cutler, A., & Norris, D. (1991). Detection times for vowels versus consonants. In Eurospeech 91: Vol. 3 (pp. 1451-1454). Genova: Istituto Internazionale delle Comunicazioni.

    Abstract

    This paper reports two experiments with vowels and consonants as phoneme detection targets in real words. In the first experiment, two relatively distinct vowels were compared with two confusible stop consonants. Response times to the vowels were longer than to the consonants. Response times correlated negatively with target phoneme length. In the second, two relatively distinct vowels were compared with their corresponding semivowels. This time, the vowels were detected faster than the semivowels. We conclude that response time differences between vowels and stop consonants in this task may reflect differences between phoneme categories in the variability of tokens, both in the acoustic realisation of targets and in the' representation of targets by subjects.
  • Van Geenhoven, V. (1999). A before-&-after picture of when-, before-, and after-clauses. In T. Matthews, & D. Strolovitch (Eds.), Proceedings of the 9th Semantics and Linguistic Theory Conference (pp. 283-315). Ithaca, NY, USA: Cornell University.
  • Van de Weijer, J. (1997). Language input to a prelingual infant. In A. Sorace, C. Heycock, & R. Shillcock (Eds.), Proceedings of the GALA '97 conference on language acquisition (pp. 290-293). Edinburgh University Press.

    Abstract

    Pitch, intonation, and speech rate were analyzed in a collection of everyday speech heard by one Dutch infant between the ages of six and nine months. Components of each of these variables were measured in the speech of three adult speakers (mother, father, baby-sitter) when they addressed the infant, and when they addressed another adult. The results are in line with previously reported findings which are usually based on laboratory or prearranged settings: infant-directed speech in a natural setting exhibits more pitch variation, a larger number of simple intonation contours, and slower speech rate than does adult-directed speech.
  • Van Heuven, V. J., Haan, J., Janse, E., & Van der Torre, E. J. (1997). Perceptual identification of sentence type and the time-distribution of prosodic interrogativity markers in Dutch. In Proceedings of the ESCA Tutorial and Research Workshop on Intonation: Theory, Models and Applications, Athens, Greece, 1997 (pp. 317-320).

    Abstract

    Dutch distinguishes at least four sentence types: statements and questions, the latter type being subdivided into wh-questions (beginning with a question word), yes/no-questions (with inversion of subject and finite), and declarative questions (lexico-syntactically identical to statement). Acoustically, each of these (sub)types was found to have clearly distinct global F0-patterns, as well as a characteristic distribution of final rises [1,2]. The present paper explores the separate contribution of parameters of global downtrend and size of accent-lending pitch movements versus aspects of the terminal rise to the human identification of the four sentence (sub)types, at various positions in the time-course of the utterance. The results show that interrogativity in Dutch can be identified at an early point in the utterance. However, wh-questions are not distinct from statements.
  • Van Hout, A., & Veenstra, A. (2010). Telicity marking in Dutch child language: Event realization or no aspectual coercion? In J. Costa, A. Castro, M. Lobo, & F. Pratas (Eds.), Language Acquisition and Development: Proceedings of GALA 2009 (pp. 216-228). Newcastle upon Tyne: Cambridge Scholars Publishing.
  • Van de Ven, M., Tucker, B. V., & Ernestus, M. (2010). Semantic facilitation in bilingual everyday speech comprehension. In Proceedings of the 11th Annual Conference of the International Speech Communication Association (Interspeech 2010), Makuhari, Japan (Interspeech 2010), Makuhari, Japan (pp. 1245-1248).

    Abstract

    Previous research suggests that bilinguals presented with low and high predictability sentences benefit from semantics in clear but not in conversational speech [1]. In everyday speech, however, many words are not highly predictable. Previous research has shown that native listeners can use also more subtle semantic contextual information [2]. The present study reports two auditory lexical decision experiments investigating to what extent late Asian-English bilinguals benefit from subtle semantic cues in their processing of English unreduced and reduced speech. Our results indicate that these bilinguals are less sensitive to semantic cues than native listeners for both speech registers.
  • Van Uytvanck, D., Zinn, C., Broeder, D., Wittenburg, P., & Gardelleni, M. (2010). Virtual language observatory: The portal to the language resources and technology universe. In N. Calzolari, B. Maegaard, J. Mariani, J. Odjik, K. Choukri, S. Piperidis, M. Rosner, & D. Tapias (Eds.), Proceedings of the Seventh conference on International Language Resources and Evaluation (LREC'10) (pp. 900-903). European Language Resources Association (ELRA).

    Abstract

    Over the years, the field of Language Resources and Technology (LRT) hasdeveloped a tremendous amount of resources and tools. However, there is noready-to-use map that researchers could use to gain a good overview andsteadfast orientation when searching for, say corpora or software tools tosupport their studies. It is rather the case that information is scatteredacross project- or organisation-specific sites, which makes it hard if notimpossible for less-experienced researchers to gather all relevant material.Clearly, the provision of metadata is central to resource and softwareexploration. However, in the LRT field, metadata comes in many forms, tastesand qualities, and therefore substantial harmonization and curation efforts arerequired to provide researchers with metadata-based guidance. To address thisissue a broad alliance of LRT providers (CLARIN, the Linguist List, DOBES,DELAMAN, DFKI, ELRA) have initiated the Virtual Language Observatory portal toprovide a low-barrier, easy-to-follow entry point to language resources andtools; it can be accessed via http://www.clarin.eu/vlo
  • Versteegh, M., Ten Bosch, L., & Boves, L. (2010). Active word learning under uncertain input conditions. In Proceedings of the 11th Annual Conference of the International Speech Communication Association (Interspeech 2010), Makuhari, Japan (pp. 2930-2933). ISCA.

    Abstract

    This paper presents an analysis of phoneme durations of emotional speech in two languages: Dutch and Korean. The analyzed corpus of emotional speech has been specifically developed for the purpose of cross-linguistic comparison, and is more balanced than any similar corpus available so far: a) it contains expressions by both Dutch and Korean actors and is based on judgments by both Dutch and Korean listeners; b) the same elicitation technique and recording procedure were used for recordings of both languages; and c) the phonetics of the carrier phrase were constructed to be permissible in both languages. The carefully controlled phonetic content of the carrier phrase allows for analysis of the role of specific phonetic features, such as phoneme duration, in emotional expression in Dutch and Korean. In this study the mutual effect of language and emotion on phoneme duration is presented.
  • Versteegh, M., Ten Bosch, L., & Boves, L. (2010). Dealing with uncertain input in word learning. In Proceedings of the IXth IEEE International Conference on Development and Learning (ICDL). Ann Arbor, MI, 18-21 Aug. 2010 (pp. 46-51). IEEE.

    Abstract

    In this paper we investigate a computational model of word learning, that is embedded in a cognitively and ecologically plausible framework. Multi-modal stimuli from four different speakers form a varied source of experience. The model incorporates active learning, attention to a communicative setting and clarity of the visual scene. The model's ability to learn associations between speech utterances and visual concepts is evaluated during training to investigate the influence of active learning under conditions of uncertain input. The results show the importance of shared attention in word learning and the model's robustness against noise.
  • Versteegh, M., Sangati, F., & Zuidema, W. (2010). Simulations of socio-linguistic change: Implications for unidirectionality. In A. Smith, M. Schoustra, B. Boer, & K. Smith (Eds.), Proceedings of the 8th International conference on the Evolution of Language (EVOLANG 8) (pp. 511-512). World Scientific Publishing.
  • Vosse, T., & Kempen, G. (1991). A hybrid model of human sentence processing: Parsing right-branching, center-embedded and cross-serial dependencies. In M. Tomita (Ed.), Proceedings of the Second International Workshop on Parsing Technologies.
  • Wagner, M. A., Broersma, M., McQueen, J. M., & Lemhöfer, K. (2019). Imitating speech in an unfamiliar language and an unfamiliar non-native accent in the native language. In S. Calhoun, P. Escudero, M. Tabain, & P. Warren (Eds.), Proceedings of the 19th International Congress of Phonetic Sciences (ICPhS 20195) (pp. 1362-1366). Canberra, Australia: Australasian Speech Science and Technology Association Inc.

    Abstract

    This study concerns individual differences in speech imitation ability and the role that lexical representations play in imitation. We examined 1) whether imitation of sounds in an unfamiliar language (L0) is related to imitation of sounds in an unfamiliar
    non-native accent in the speaker’s native language (L1) and 2) whether it is easier or harder to imitate speech when you know the words to be imitated. Fifty-nine native Dutch speakers imitated words with target vowels in Basque (/a/ and /e/) and Greekaccented
    Dutch (/i/ and /u/). Spectral and durational
    analyses of the target vowels revealed no relationship between the success of L0 and L1 imitation and no difference in performance between tasks (i.e., L1
    imitation was neither aided nor blocked by lexical knowledge about the correct pronunciation). The results suggest instead that the relationship of the vowels to native phonological categories plays a bigger role in imitation
  • Walsh Dickey, L. (1999). Syllable count and Tzeltal segmental allomorphy. In J. Rennison, & K. Kühnhammer (Eds.), Phonologica 1996. Proceedings of the 8th International Phonology Meeting (pp. 323-334). Holland Academic Graphics.

    Abstract

    Tzeltal, a Mayan language spoken in southern Mexico, exhibits allo-morphy of an unusual type. The vowel quality of the perfective suffix is determined by the number of syllables in the stem to which it is attaching. This paper presents previously unpublished data of this allomorphy and demonstrates that a syllable-count analysis of the phenomenon is the proper one. This finding is put in a more general context of segment-prosody interaction in allomorphy.
  • Weber, A., & Poellmann, K. (2010). Identifying foreign speakers with an unfamiliar accent or in an unfamiliar language. In New Sounds 2010: Sixth International Symposium on the Acquisition of Second Language Speech (pp. 536-541). Poznan, Poland: Adam Mickiewicz University.
  • Willems, R. M., Labruna, L., D'Esposito, M., Ivry, R., & Casasanto, D. (2010). A functional role for the motor system in language understanding: Evidence from rTMS [Abstract]. In Proceedings of the 16th Annual Conference on Architectures and Mechanisms for Language Processing [AMLaP 2010] (pp. 127). York: University of York.
  • Witteman, M. J., Weber, A., & McQueen, J. M. (2010). Rapid and long-lasting adaptation to foreign-accented speech [Abstract]. Journal of the Acoustical Society of America, 128, 2486.

    Abstract

    In foreign-accented speech, listeners have to handle noticeable deviations from the standard pronunciation of a target language. Three cross-modal priming experiments investigated how short- and long-term experiences with a foreign accent influence word recognition by native listeners. In experiment 1, German-accented words were presented to Dutch listeners who had either extensive or limited prior experience with German-accented Dutch. Accented words either contained a diphthong substitution that deviated acoustically quite largely from the canonical form (huis [hys], "house", pronounced as [hoys]), or that deviated acoustically to a lesser extent (lijst [lst], "list", pronounced as [lst]). The mispronunciations never created lexical ambiguity in Dutch. While long-term experience facilitated word recognition for both types of substitutions, limited experience facilitated recognition only of words with acoustically smaller deviations. In experiment 2, Dutch listeners with limited experience listened to the German speaker for 4 min before participating in the cross-modal priming experiment. The results showed that speaker-specific learning effects for acoustically large deviations can be obtained already after a brief exposure, as long as the exposure contains evidence of the deviations. Experiment 3 investigates whether these short-term adaptation effects for foreign-accented speech are speaker-independent.
  • Wittenburg, P. (2010). Culture change in data management. In V. Luzar-Stiffler, I. Jarec, & Z. Bekic (Eds.), Proceedings of the ITI 2010, 32nd International Conference on Information Technology Interfaces (pp. 43 -48). Zagreb, Croatia: University of Zagreb.

    Abstract

    In the emerging e-Science scenario users should be able to easily combine data resources and tools/services; and machines should automatically be able to trace paths and carry out interpretations. Users who want to participate need to move from a down-load first to a cyberinfrastructure paradigm, thus increasing their dependency on the seamless operation of all components in the Internet. Such a scenario is inherently complex and requires compliance to guidelines and standards to keep it working smoothly. Only a change in our culture of dealing with research data and awareness about the way we do data lifecycle management will lead to success. Since we have so many legacy resources that are not compliant with the required guidelines, since we need to admit obvious problems in particular with standardization in the area of semantics and since it will take much time to establish trust at the side of researchers, the e-Science scenario can only be achieved stepwise which will take much time.
  • Wittenburg, P., Trilsbeek, P., & Lenkiewicz, P. (2010). Large multimedia archive for world languages. In SSCS'10 - Proceedings of the 2010 ACM Workshop on Searching Spontaneous Conversational Speech, Co-located with ACM Multimedia 2010 (pp. 53-56). New York: Association for Computing Machinery, Inc. (ACM). doi:10.1145/1878101.1878113.

    Abstract

    In this paper, we describe the core pillars of a large archive oflanguage material recorded worldwide partly about languages that are highly endangered. The bases for the documentation of these languages are audio/video recordings which are then annotated at several linguistic layers. The digital age completely changed the requirements of long-term preservation and it is discussed how the archive met these new challenges. An extensive solution for data replication has been worked out to guarantee bit-stream preservation. Due to an immediate conversion of the incoming data to standards -based formats and checks at upload time lifecycle management of all 50 Terabyte of data is widely simplified. A suitable metadata framework not only allowing users to describe and discover resources, but also allowing them to organize their resources is enabling the management of this amount of resources very efficiently. Finally, it is the Language Archiving Technology software suite which allows users to create, manipulate, access and enrich all archived resources given that they have access permissions.
  • Wittenburg, P., Bel, N., Borin, L., Budin, G., Calzolari, N., Hajicova, E., Koskenniemi, K., Lemnitzer, L., Maegaard, B., Piasecki, M., Pierrel, J.-M., Piperidis, S., Skadina, I., Tufis, D., Van Veenendaal, R., Váradi, T., & Wynne, M. (2010). Resource and service centres as the backbone for a sustainable service infrastructure. In N. Calzolari, B. Maegaard, J. Mariani, J. Odjik, K. Choukri, S. Piperidis, M. Rosner, & D. Tapias (Eds.), Proceedings of the Seventh conference on International Language Resources and Evaluation (LREC'10) (pp. 60-63). European Language Resources Association (ELRA).

    Abstract

    Currently, research infrastructures are being designed and established in manydisciplines since they all suffer from an enormous fragmentation of theirresources and tools. In the domain of language resources and tools the CLARINinitiative has been funded since 2008 to overcome many of the integration andinteroperability hurdles. CLARIN can build on knowledge and work from manyprojects that were carried out during the last years and wants to build stableand robust services that can be used by researchers. Here service centres willplay an important role that have the potential of being persistent and thatadhere to criteria as they have been established by CLARIN. In the last year ofthe so-called preparatory phase these centres are currently developing four usecases that can demonstrate how the various pillars CLARIN has been working oncan be integrated. All four use cases fulfil the criteria of beingcross-national.
  • Wolf, M. C., Smith, A. C., Meyer, A. S., & Rowland, C. F. (2019). Modality effects in vocabulary acquisition. In A. K. Goel, C. M. Seifert, & C. Freksa (Eds.), Proceedings of the 41st Annual Meeting of the Cognitive Science Society (CogSci 2019) (pp. 1212-1218). Montreal, QB: Cognitive Science Society.

    Abstract

    It is unknown whether modality affects the efficiency with which humans learn novel word forms and their meanings, with previous studies reporting both written and auditory advantages. The current study implements controls whose absence in previous work likely offers explanation for such contradictory findings. In two novel word learning experiments, participants were trained and tested on pseudoword - novel object pairs, with controls on: modality of test, modality of meaning, duration of exposure and transparency of word form. In both experiments word forms were presented in either their written or spoken form, each paired with a pictorial meaning (novel object). Following a 20-minute filler task, participants were tested on their ability to identify the picture-word form pairs on which they were trained. A between subjects design generated four participant groups per experiment 1) written training, written test; 2) written training, spoken test; 3) spoken training, written test; 4) spoken training, spoken test. In Experiment 1 the written stimulus was presented for a time period equal to the duration of the spoken form. Results showed that when the duration of exposure was equal, participants displayed a written training benefit. Given words can be read faster than the time taken for the spoken form to unfold, in Experiment 2 the written form was presented for 300 ms, sufficient time to read the word yet 65% shorter than the duration of the spoken form. No modality effect was observed under these conditions, when exposure to the word form was equivalent. These results demonstrate, at least for proficient readers, that when exposure to the word form is controlled across modalities the efficiency with which word form-meaning associations are learnt does not differ. Our results therefore suggest that, although we typically begin as aural-only word learners, we ultimately converge on developing learning mechanisms that learn equally efficiently from both written and spoken materials.
  • Zinn, C., Wittenburg, P., & Ringersma, J. (2010). An evolving eScience environment for research data in linguistics. In N. Calzolari, B. Maegaard, J. Mariani, J. Odjik, K. Choukri, S. Piperidis, M. Rosner, & D. Tapias (Eds.), Proceedings of the Seventh conference on International Language Resources and Evaluation (LREC'10) (pp. 894-899). European Language Resources Association (ELRA).

    Abstract

    The amount of research data in the Humanities is increasing at fastspeed. Metadata helps describing and making accessible this data tointerested researchers within and across institutions. While metadatainteroperability is an issue that is being recognised and addressed,the systematic and user-driven provision of annotations and thelinking together of resources into new organisational layers havereceived much less attention. This paper gives an overview of ourevolving technological eScience environment to support suchfunctionality. It describes two tools, ADDIT and ViCoS, which enableresearchers, rather than archive managers, to organise and reorganiseresearch data to fit their particular needs. The two tools, which areembedded into our institute's existing software landscape, are aninitial step towards an eScience environment that gives our scientistseasy access to (multimodal) research data of their interest, andempowers them to structure, enrich, link together, and share such dataas they wish.

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