Publications

Displaying 1 - 36 of 36
  • Allerhand, M., Butterfield, S., Cutler, A., & Patterson, R. (1992). Assessing syllable strength via an auditory model. In Proceedings of the Institute of Acoustics: Vol. 14 Part 6 (pp. 297-304). St. Albans, Herts: Institute of Acoustics.
  • Bauer, B. L. M. (1999). Aspects of impersonal constructions in Late Latin. In H. Petersmann, & R. Kettelmann (Eds.), Latin vulgaire – latin tardif V (pp. 209-211). Heidelberg: Winter.
  • Bowerman, M., de León, L., & Choi, S. (1995). Verbs, particles, and spatial semantics: Learning to talk about spatial actions in typologically different languages. In E. V. Clark (Ed.), Proceedings of the Twenty-seventh Annual Child Language Research Forum (pp. 101-110). Stanford, CA: Center for the Study of Language and Information.
  • Cutler, A. (1987). Components of prosodic effects in speech recognition. In Proceedings of the Eleventh International Congress of Phonetic Sciences: Vol. 1 (pp. 84-87). Tallinn: Academy of Sciences of the Estonian SSR, Institute of Language and Literature.

    Abstract

    Previous research has shown that listeners use the prosodic structure of utterances in a predictive fashion in sentence comprehension, to direct attention to accented words. Acoustically identical words spliced into sentence contexts arc responded to differently if the prosodic structure of the context is \ aricd: when the preceding prosody indicates that the word will he accented, responses are faster than when the preceding prosodv is inconsistent with accent occurring on that word. In the present series of experiments speech hybridisation techniques were first used to interchange the timing patterns within pairs of prosodic variants of utterances, independently of the pitch and intensity contours. The time-adjusted utterances could then serve as a basis lor the orthogonal manipulation of the three prosodic dimensions of pilch, intensity and rhythm. The overall pattern of results showed that when listeners use prosody to predict accent location, they do not simply rely on a single prosodic dimension, hut exploit the interaction between pitch, intensity and rhythm.
  • Cutler, A., Kearns, R., Norris, D., & Scott, D. (1992). Listeners’ responses to extraneous signals coincident with English and French speech. In J. Pittam (Ed.), Proceedings of the 4th Australian International Conference on Speech Science and Technology (pp. 666-671). Canberra: Australian Speech Science and Technology Association.

    Abstract

    English and French listeners performed two tasks - click location and speeded click detection - with both English and French sentences, closely matched for syntactic and phonological structure. Clicks were located more accurately in open- than in closed-class words in both English and French; they were detected more rapidly in open- than in closed-class words in English, but not in French. The two listener groups produced the same pattern of responses, suggesting that higher-level linguistic processing was not involved in these tasks.
  • Cutler, A., & Chen, H.-C. (1995). Phonological similarity effects in Cantonese word recognition. In K. Elenius, & P. Branderud (Eds.), Proceedings of the Thirteenth International Congress of Phonetic Sciences: Vol. 1 (pp. 106-109). Stockholm: Stockholm University.

    Abstract

    Two lexical decision experiments in Cantonese are described in which the recognition of spoken target words as a function of phonological similarity to a preceding prime is investigated. Phonological similaritv in first syllables produced inhibition, while similarity in second syllables led to facilitation. Differences between syllables in tonal and segmental structure had generally similar effects.
  • Cutler, A., & Robinson, T. (1992). Response time as a metric for comparison of speech recognition by humans and machines. In J. Ohala, T. Neary, & B. Derwing (Eds.), Proceedings of the Second International Conference on Spoken Language Processing: Vol. 1 (pp. 189-192). Alberta: University of Alberta.

    Abstract

    The performance of automatic speech recognition systems is usually assessed in terms of error rate. Human speech recognition produces few errors, but relative difficulty of processing can be assessed via response time techniques. We report the construction of a measure analogous to response time in a machine recognition system. This measure may be compared directly with human response times. We conducted a trial comparison of this type at the phoneme level, including both tense and lax vowels and a variety of consonant classes. The results suggested similarities between human and machine processing in the case of consonants, but differences in the case of vowels.
  • Cutler, A., & Carter, D. (1987). The prosodic structure of initial syllables in English. In J. Laver, & M. Jack (Eds.), Proceedings of the European Conference on Speech Technology: Vol. 1 (pp. 207-210). Edinburgh: IEE.
  • Cutler, A., Van Ooijen, B., & Norris, D. (1999). Vowels, consonants, and lexical activation. In J. Ohala, Y. Hasegawa, M. Ohala, D. Granville, & A. Bailey (Eds.), Proceedings of the Fourteenth International Congress of Phonetic Sciences: Vol. 3 (pp. 2053-2056). Berkeley: University of California.

    Abstract

    Two lexical decision studies examined the effects of single-phoneme mismatches on lexical activation in spoken-word recognition. One study was carried out in English, and involved spoken primes and visually presented lexical decision targets. The other study was carried out in Dutch, and primes and targets were both presented auditorily. Facilitation was found only for spoken targets preceded immediately by spoken primes; no facilitation occurred when targets were presented visually, or when intervening input occurred between prime and target. The effects of vowel mismatches and consonant mismatches were equivalent.
  • Cutler, A. (1995). Universal and Language-Specific in the Development of Speech. Biology International, (Special Issue 33).
  • Friederici, A., & Levelt, W. J. M. (1987). Spatial description in microgravity: Aspects of cognitive adaptation. In P. R. Sahm, R. Jansen, & M. Keller (Eds.), Proceedings of the Norderney Symposium on Scientific Results of the German Spacelab Mission D1 (pp. 518-524). Köln, Germany: Wissenschaftliche Projektführung DI c/o DFVLR.
  • Janse, E., & Quené, H. (1999). On the suitability of the cross-modal semantic priming task. In Proceedings of the XIVth International Congress of Phonetic Sciences (pp. 1937-1940).
  • Kempen, G., & Hoenkamp, E. (1982). Incremental sentence generation: Implications for the structure of a syntactic processor. In J. Horecký (Ed.), COLING 82. Proceedings of the Ninth International Conference on Computational Linguistics, Prague, July 5-10, 1982 (pp. 151-156). Amsterdam: North-Holland.

    Abstract

    Human speakers often produce sentences incrementally. They can start speaking having in mind only a fragmentary idea of what they want to say, and while saying this they refine the contents underlying subsequent parts of the utterance. This capability imposes a number of constraints on the design of a syntactic processor. This paper explores these constraints and evaluates some recent computational sentence generators from the perspective of incremental production.
  • Klein, W. (1995). A simplest analysis of the English tense-aspect system. In W. Riehle, & H. Keiper (Eds.), Proceedings of the Anglistentag 1994 (pp. 139-151). Tübingen: Niemeyer.
  • Klein, W., & Musan, R. (Eds.). (1999). Das deutsche Perfekt [Special Issue]. Zeitschrift für Literaturwissenschaft und Linguistik, (113).
  • Klein, W. (Ed.). (1995). Epoche [Special Issue]. Zeitschrift für Literaturwissenschaft und Linguistik, (100).
  • Klein, W. (Ed.). (1992). Textlinguistik [Special Issue]. Zeitschrift für Literaturwissenschaft und Linguistik, (86).
  • Klein, W. (Ed.). (1984). Textverständlichkeit - Textverstehen [Special Issue]. Zeitschrift für Literaturwissenschaft und Linguistik, (55).
  • Klein, W. (Ed.). (1987). Sprache und Ritual [Special Issue]. Zeitschrift für Literaturwissenschaft und Linguistik, (65).
  • Klein, W. (Ed.). (1982). Zweitspracherwerb [Special Issue]. Zeitschrift für Literaturwissenschaft und Linguistik, (45).
  • De León, L., & Levinson, S. C. (Eds.). (1992). Space in Mesoamerican languages [Special Issue]. Zeitschrift für Phonetik, Sprachwissenschaft und Kommunikationsforschung, 45(6).
  • Levelt, W. J. M. (1984). Spontaneous self-repairs in speech: Processes and representations. In M. P. R. Van den Broecke, & A. Cohen (Eds.), Proceedings of the 10th International Congress of Phonetic Sciences (pp. 105-117). Dordrecht: Foris.
  • Levelt, W. J. M., & Schriefers, H. (1987). Stages of lexical access. In G. A. Kempen (Ed.), Natural language generation: new results in artificial intelligence, psychology and linguistics (pp. 395-404). Dordrecht: Nijhoff.
  • Levinson, S. C. (1987). Minimization and conversational inference. In M. Bertuccelli Papi, & J. Verschueren (Eds.), The pragmatic perspective: Selected papers from the 1985 International Pragmatics Conference (pp. 61-129). Benjamins.
  • McQueen, J. M., & Cutler, A. (1992). Words within words: Lexical statistics and lexical access. In J. Ohala, T. Neary, & B. Derwing (Eds.), Proceedings of the Second International Conference on Spoken Language Processing: Vol. 1 (pp. 221-224). Alberta: University of Alberta.

    Abstract

    This paper presents lexical statistics on the pattern of occurrence of words embedded in other words. We report the results of an analysis of 25000 words, varying in length from two to six syllables, extracted from a phonetically-coded English dictionary (The Longman Dictionary of Contemporary English). Each syllable, and each string of syllables within each word was checked against the dictionary. Two analyses are presented: the first used a complete list of polysyllables, with look-up on the entire dictionary; the second used a sublist of content words, counting only embedded words which were themselves content words. The results have important implications for models of human speech recognition. The efficiency of these models depends, in different ways, on the number and location of words within words.
  • Norris, D., Van Ooijen, B., & Cutler, A. (1992). Speeded detection of vowels and steady-state consonants. In J. Ohala, T. Neary, & B. Derwing (Eds.), Proceedings of the Second International Conference on Spoken Language Processing; Vol. 2 (pp. 1055-1058). Alberta: University of Alberta.

    Abstract

    We report two experiments in which vowels and steady-state consonants served as targets in a speeded detection task. In the first experiment, two vowels were compared with one voiced and once unvoiced fricative. Response times (RTs) to the vowels were longer than to the fricatives. The error rate was higher for the consonants. Consonants in word-final position produced the shortest RTs, For the vowels, RT correlated negatively with target duration. In the second experiment, the same two vowel targets were compared with two nasals. This time there was no significant difference in RTs, but the error rate was still significantly higher for the consonants. Error rate and length correlated negatively for the vowels only. We conclude that RT differences between phonemes are independent of vocalic or consonantal status. Instead, we argue that the process of phoneme detection reflects more finely grained differences in acoustic/articulatory structure within the phonemic repertoire.
  • Otake, T., Davis, S. M., & Cutler, A. (1995). Listeners’ representations of within-word structure: A cross-linguistic and cross-dialectal investigation. In J. Pardo (Ed.), Proceedings of EUROSPEECH 95: Vol. 3 (pp. 1703-1706). Madrid: European Speech Communication Association.

    Abstract

    Japanese, British English and American English listeners were presented with spoken words in their native language, and asked to mark on a written transcript of each word the first natural division point in the word. The results showed clear and strong patterns of consensus, indicating that listeners have available to them conscious representations of within-word structure. Orthography did not play a strongly deciding role in the results. The patterns of response were at variance with results from on-line studies of speech segmentation, suggesting that the present task taps not those representations used in on-line listening, but levels of representation which may involve much richer knowledge of word-internal structure.
  • Ozyurek, A., & Kita, S. (1999). Expressing manner and path in English and Turkish: Differences in speech, gesture, and conceptualization. In M. Hahn, & S. C. Stoness (Eds.), Proceedings of the Twenty-first Annual Conference of the Cognitive Science Society (pp. 507-512). London: Erlbaum.
  • 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.
  • Seuren, P. A. M. (1984). Logic and truth-values in language. In F. Landman, & F. Veltman (Eds.), Varieties of formal semantics: Proceedings of the fourth Amsterdam colloquium (pp. 343-364). Dordrecht: Foris.
  • 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.
  • 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.
  • Van Valin Jr., R. D. (1987). Aspects of the interaction of syntax and pragmatics: Discourse coreference mechanisms and the typology of grammatical systems. In M. Bertuccelli Papi, & J. Verschueren (Eds.), The pragmatic perspective: Selected papers from the 1985 International Pragmatics Conference (pp. 513-531). Amsterdam: Benjamins.
  • 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 Valin Jr., R. D. (1987). Pragmatics, island phenomena, and linguistic competence. In A. M. Farley, P. T. Farley, & K.-E. McCullough (Eds.), CLS 22. Papers from the parasession on pragmatics and grammatical theory (pp. 223-233). Chicago Linguistic Society.
  • 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.

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