Publications

Displaying 401 - 420 of 420
  • Virpioja, S., Lehtonen, M., Hulten, A., Salmelin, R., & Lagus, K. (2011). Predicting reaction times in word recognition by unsupervised learning of morphology. In W. Honkela, W. Dutch, M. Girolami, & S. Kaski (Eds.), Artificial Neural Networks and Machine Learning – ICANN 2011 (pp. 275-282). Berlin: Springer.

    Abstract

    A central question in the study of the mental lexicon is how morphologically complex words are processed. We consider this question from the viewpoint of statistical models of morphology. As an indicator of the mental processing cost in the brain, we use reaction times to words in a visual lexical decision task on Finnish nouns. Statistical correlation between a model and reaction times is employed as a goodness measure of the model. In particular, we study Morfessor, an unsupervised method for learning concatenative morphology. The results for a set of inflected and monomorphemic Finnish nouns reveal that the probabilities given by Morfessor, especially the Categories-MAP version, show considerably higher correlations to the reaction times than simple word statistics such as frequency, morphological family size, or length. These correlations are also higher than when any individual test subject is viewed as a model.
  • Von Stutterheim, C., Carroll, M., & Klein, W. (2009). New perspectives in analyzing aspectual distinctions across languages. In W. Klein, & P. Li (Eds.), The expression of time (pp. 195-216). Berlin: Mouton de Gruyter.
  • Von Stutterheim, C., & Klein, W. (1989). Referential movement in descriptive and narrative discourse. In R. Dietrich, & C. F. Graumann (Eds.), Language processing in social context (pp. 39-76). Amsterdam: Elsevier.
  • De Vos, C., & Zeshan, U. (2012). Introduction: Demographic, sociocultural, and linguistic variation across rural signing communities. In U. Zeshan, & C. de Vos (Eds.), Sign languages in village communities: Anthropological and linguistic insights (pp. 2-23). Berlin: Mouton De Gruyter.
  • De Vos, C. (2012). Kata Kolok: An updated sociolinguistic profile. In U. Zeshan (Ed.), Sign languages in village communities: Anthropological and linguistic insights (pp. 381-386). Berlin: Mouton de Gruyter.
  • De Vos, C. (2012). The Kata Kolok perfective in child signing: Coordination of manual and non-manual components. In U. Zeshan, & C. De Vos (Eds.), Sign languages in village communities: Anthropological and linguistic insights (pp. 127-152). Berlin: Mouton de Gruyter.
  • Weber, A., & Broersma, M. (2012). Spoken word recognition in second language acquisition. In C. A. Chapelle (Ed.), The encyclopedia of applied linguistics. Bognor Regis: Wiley-Blackwell. doi:10.1002/9781405198431.wbeal1104.

    Abstract

    In order to decode the message of a speaker, listeners have to recognize individual words in the speaker's utterance.
  • Wegener, C. (2011). Expression of reciprocity in Savosavo. In N. Evans, A. Gaby, S. C. Levinson, & A. Majid (Eds.), Reciprocals and semantic typology (pp. 213-224). Amsterdam: Benjamins.

    Abstract

    This paper describes how reciprocity is expressed in the Papuan (i.e. non-Austronesian­) language Savosavo, spoken in the Solomon Islands. The main strategy is to use the reciprocal nominal mapamapa, which can occur in different NP positions and always triggers default third person singular masculine agreement, regardless of the number and gender of the referents. After a description of this as well as another strategy that is occasionally used (the ‘joint activity construction’), the paper will provide a detailed analysis of data elicited with set of video stimuli and show that the main strategy is used to describe even clearly asymmetric situations, as long as more than one person acts on more than one person in a joint activity.
  • Weissenborn, J., & Stralka, R. (1984). Das Verstehen von Mißverständnissen. Eine ontogenetische Studie. In Zeitschrift für Literaturwissenschaft und Linguistik (pp. 113-134). Stuttgart: Metzler.
  • Weissenborn, J. (1984). La genèse de la référence spatiale en langue maternelle et en langue seconde: similarités et différences. In G. Extra, & M. Mittner (Eds.), Studies in second language acquisition by adult immigrants (pp. 262-286). Tilburg: Tilburg University.
  • Wilkin, K., & Holler, J. (2011). Speakers’ use of ‘action’ and ‘entity’ gestures with definite and indefinite references. In G. Stam, & M. Ishino (Eds.), Integrating gestures: The interdisciplinary nature of gesture (pp. 293-308). Amsterdam: John Benjamins.

    Abstract

    Common ground is an essential prerequisite for coordination in social interaction, including language use. When referring back to a referent in discourse, this referent is ‘given information’ and therefore in the interactants’ common ground. When a referent is being referred to for the first time, a speaker introduces ‘new information’. The analyses reported here are on gestures that accompany such references when they include definite and indefinite grammatical determiners. The main finding from these analyses is that referents referred to by definite and indefinite articles were equally often accompanied by gesture, but speakers tended to accompany definite references with gestures focusing on action information and indefinite references with gestures focusing on entity information. The findings suggest that speakers use speech and gesture together to design utterances appropriate for speakers with whom they share common ground.

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  • Windhouwer, M., & Wright, S. E. (2012). Linking to linguistic data categories in ISOcat. In C. Chiarcos, S. Nordhoff, & S. Hellmann (Eds.), Linked data in linguistics: Representing and connecting language data and language metadata (pp. 99-107). Berlin: Springer.

    Abstract

    ISO Technical Committee 37, Terminology and other language and content resources, established an ISO 12620:2009 based Data Category Registry (DCR), called ISOcat (see http://www.isocat.org), to foster semantic interoperability of linguistic resources. However, this goal can only be met if the data categories are reused by a wide variety of linguistic resource types. A resource indicates its usage of data categories by linking to them. The small DC Reference XML vocabulary is used to embed links to data categories in XML documents. The link is established by an URI, which servers as the Persistent IDentifier (PID) of a data category. This paper discusses the efforts to mimic the same approach for RDF-based resources. It also introduces the RDF quad store based Relation Registry RELcat, which enables ontological relationships between data categories not supported by ISOcat and thus adds an extra level of linguistic knowledge.
  • Wittenburg, P., Drude, S., & Broeder, D. (2012). Psycholinguistik. In H. Neuroth, S. Strathmann, A. Oßwald, R. Scheffel, J. Klump, & J. Ludwig (Eds.), Langzeitarchivierung von Forschungsdaten. Eine Bestandsaufnahme (pp. 83-108). Boizenburg: Verlag Werner Hülsbusch.

    Abstract

    5.1 Einführung in den Forschungsbereich Die Psycholinguistik ist der Bereich der Linguistik, der sich mit dem Zusammenhang zwischen menschlicher Sprache und dem Denken und anderen mentalen Prozessen beschäftigt, d.h. sie stellt sich einer Reihe von essentiellen Fragen wie etwa (1) Wie schafft es unser Gehirn, im Wesentlichen akustische und visuelle kommunikative Informationen zu verstehen und in mentale Repräsentationen umzusetzen? (2) Wie kann unser Gehirn einen komplexen Sachverhalt, den wir anderen übermitteln wollen, in eine von anderen verarbeitbare Sequenz von verbalen und nonverbalen Aktionen umsetzen? (3) Wie gelingt es uns, in den verschiedenen Phasen des Lebens Sprachen zu erlernen? (4) Sind die kognitiven Prozesse der Sprachverarbeitung universell, obwohl die Sprachsysteme derart unterschiedlich sind, dass sich in den Strukturen kaum Universalien finden lassen?
  • Wood, N. (2009). Field recording for dummies. In A. Majid (Ed.), Field manual volume 12 (pp. V). Nijmegen: Max Planck Institute for Psycholinguistics.
  • Zeshan, U. (2006). Sign language of the world. In K. Brown (Ed.), Encyclopedia of language and linguistics (vol. 11) (pp. 358-365). Amsterdam: Elsevier.

    Abstract

    Although sign language-using communities exist in all areas of the world, few sign languages have been documented in detail. Sign languages occur in a variety of sociocultural contexts, ranging from sign languages used in closed village communities to officially recognized national sign languages. They may be grouped into language families on historical grounds or may participate in various language contact situations. Systematic cross-linguistic comparison reveals both significant structural similarities and important typological differences between sign languages. Focusing on information from non-Western countries, this article provides an overview of the sign languages of the world.
  • Zeshan, U., & Panda, S. (2011). Reciprocals constructions in Indo-Pakistani sign language. In N. Evans, & A. Gaby (Eds.), Reciprocals and semantic typology (pp. 91-113). Amsterdam: Benjamins.

    Abstract

    Indo-Pakistani Sign Language (IPSL) is the sign language used by deaf communities in a large region across India and Pakistan. This visual-gestural language has a dedicated construction for specifically expressing reciprocal relationships, which can be applied to agreement verbs and to auxiliaries. The reciprocal construction relies on a change in the movement pattern of the signs it applies to. In addition, IPSL has a number of other strategies which can have a reciprocal interpretation, and the IPSL lexicon includes a good number of inherently reciprocal signs. All reciprocal expressions can be modified in complex ways that rely on the grammatical use of the sign space. Considering grammaticalisation and lexicalisation processes linking some of these constructions is also important for a better understanding of reciprocity in IPSL.
  • Zhang, Y., Chen, C.-h., & Yu, C. (2019). Mechanisms of cross-situational learning: Behavioral and computational evidence. In Advances in Child Development and Behavior; vol. 56 (pp. 37-63).

    Abstract

    Word learning happens in everyday contexts with many words and many potential referents for those words in view at the same time. It is challenging for young learners to find the correct referent upon hearing an unknown word at the moment. This problem of referential uncertainty has been deemed as the crux of early word learning (Quine, 1960). Recent empirical and computational studies have found support for a statistical solution to the problem termed cross-situational learning. Cross-situational learning allows learners to acquire word meanings across multiple exposures, despite each individual exposure is referentially uncertain. Recent empirical research shows that infants, children and adults rely on cross-situational learning to learn new words (Smith & Yu, 2008; Suanda, Mugwanya, & Namy, 2014; Yu & Smith, 2007). However, researchers have found evidence supporting two very different theoretical accounts of learning mechanisms: Hypothesis Testing (Gleitman, Cassidy, Nappa, Papafragou, & Trueswell, 2005; Markman, 1992) and Associative Learning (Frank, Goodman, & Tenenbaum, 2009; Yu & Smith, 2007). Hypothesis Testing is generally characterized as a form of learning in which a coherent hypothesis regarding a specific word-object mapping is formed often in conceptually constrained ways. The hypothesis will then be either accepted or rejected with additional evidence. However, proponents of the Associative Learning framework often characterize learning as aggregating information over time through implicit associative mechanisms. A learner acquires the meaning of a word when the association between the word and the referent becomes relatively strong. In this chapter, we consider these two psychological theories in the context of cross-situational word-referent learning. By reviewing recent empirical and cognitive modeling studies, our goal is to deepen our understanding of the underlying word learning mechanisms by examining and comparing the two theoretical learning accounts.
  • Zuidema, W., & Fitz, H. (2019). Key issues and future directions: Models of human language and speech processing. In P. Hagoort (Ed.), Human language: From genes and brain to behavior (pp. 353-358). Cambridge, MA: MIT Press.
  • Zwitserlood, I., & Van Gijn, I. (2006). Agreement phenomena in Sign Language of the Netherlands. In P. Ackema (Ed.), Arguments and Agreement (pp. 195-229). Oxford: Oxford University Press.
  • Zwitserlood, I. (2012). Classifiers. In R. Pfau, M. Steinbach, & B. Woll (Eds.), Sign Language: an International Handbook (pp. 158-186). Berlin: Mouton de Gruyter.

    Abstract

    Classifiers (currently also called 'depicting handshapes'), are observed in almost all signed languages studied to date and form a well-researched topic in sign language linguistics. Yet, these elements are still subject to much debate with respect to a variety of matters. Several different categories of classifiers have been posited on the basis of their semantics and the linguistic context in which they occur. The function(s) of classifiers are not fully clear yet. Similarly, there are differing opinions regarding their structure and the structure of the signs in which they appear. Partly as a result of comparison to classifiers in spoken languages, the term 'classifier' itself is under debate. In contrast to these disagreements, most studies on the acquisition of classifier constructions seem to consent that these are difficult to master for Deaf children. This article presents and discusses all these issues from the viewpoint that classifiers are linguistic elements.

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