Publications

Displaying 301 - 319 of 319
  • Van Valin Jr., R. D. (1998). The acquisition of WH-questions and the mechanisms of language acquisition. In M. Tomasello (Ed.), The new psychology of language: Cognitive and functional approaches to language structure (pp. 221-249). Mahwah, New Jersey: Erlbaum.
  • Van Valin Jr., R. D. (2006). Some universals of verb semantics. In R. Mairal, & J. Gil (Eds.), Linguistic universals (pp. 155-178). Cambridge: Cambridge University Press.
  • Van Valin Jr., R. D. (2014). Role and Reference Grammar. In A. Carnie, Y. Sato, & D. Siddiqi (Eds.), Routledge handbook of syntax (pp. 579-603). London: Routledge.
  • Van Valin Jr., R. D. (2006). Semantic macroroles and language processing. In I. Bornkessel, M. Schlesewsky, B. Comrie, & A. Friederici (Eds.), Semantic role universals and argument linking: Theoretical, typological and psycho-/neurolinguistic perspectives (pp. 263-302). Berlin: Mouton de Gruyter.
  • Van Berkum, J. J. A. (1996). The linguistics of gender. In The psycholinguistics of grammatical gender: Studies in language comprehension and production (pp. 14-44). Nijmegen University Press.

    Abstract

    This chapter explores grammatical gender as a linguistic phenomenon. First, I define gender in terms of agreement, and look at the parts of speech that can take gender agreement. Because it relates to assumptions underlying much psycholinguistic gender research, I also examine the reasons why gender systems are thought to emerge, change, and disappear. Then, I describe the gender system of Dutch. The frequent confusion about the number of genders in Dutch will be resolved by looking at the history of the system, and the role of pronominal reference therein. In addition, I report on three lexical- statistical analyses of the distribution of genders in the language. After having dealt with Dutch, I look at whether the genders of Dutch and other languages are more or less randomly assigned, or whether there is some system to it. In contrast to what many people think, regularities do indeed exist. Native speakers could in principle exploit such regularities to compute rather than memorize gender, at least in part. Although this should be taken into account as a possibility, I will also argue that it is by no means a necessary implication.
  • Van Gijn, R. (2014). Yurakaré. In M. Crevels, & P. C. Muysken (Eds.), Las lenguas de Bolivia. Vol. 3: Oriente (pp. 135-174). La Paz: Plural Editores.
  • Verkerk, A. (2014). Where Alice fell into: Motion events from a parallel corpus. In B. Szmrecsanyi, & B. Wälchli (Eds.), Aggregating dialectology, typology, and register analysis: Linguistic variation in text and speech (pp. 324-354). Berlin: De Gruyter.
  • Vernes, S. C. (2019). Neuromolecular approaches to the study of language. In P. Hagoort (Ed.), Human language: From genes and brain to behavior (pp. 577-593). Cambridge, MA: MIT Press.
  • Wittenburg, P., Trilsbeek, P., & Wittenburg, F. (2014). Corpus archiving and dissemination. In J. Durand, U. Gut, & G. Kristoffersen (Eds.), The Oxford Handbook of Corpus Phonology (pp. 133-149). Oxford: Oxford University Press.
  • Zavala, R. (2000). Multiple classifier systems in Akatek (Mayan). In G. Senft (Ed.), Systems of nominal classification (pp. 114-146). Cambridge University Press.
  • 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. (2005). Sign languages. In M. Haspelmath, M. S. Dryer, D. Gil, & B. Comrie (Eds.), The world atlas of language structures (pp. 558-559). Oxford: Oxford University Press.
  • Zeshan, U. (2005). Question particles in sign languages. In M. Haspelmath, M. S. Dryer, D. Gil, & B. Comrie (Eds.), The world atlas of language structures (pp. 564-567). Oxford: Oxford University Press.
  • Zeshan, U., Pfau, R., & Aboh, E. (2005). When a wh-word is not a wh-word: the case of Indian sign language. In B. Tanmoy (Ed.), Yearbook of South Asian languages and linguistics 2005 (pp. 11-43). Berlin: Mouton de Gruyter.
  • Zeshan, U. (2005). Irregular negatives in sign languages. In M. Haspelmath, M. S. Dryer, D. Gil, & B. Comrie (Eds.), The world atlas of language structures (pp. 560-563). Oxford: Oxford University Press.
  • 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. (2014). Meaning at the feature level in sign languages. The case of name signs in Sign Language of the Netherlands (NGT). In R. Kager (Ed.), Where the Principles Fail. A Festschrift for Wim Zonneveld on the occasion of his 64th birthday (pp. 241-251). Utrecht: Utrecht Institute of Linguistics OTS.

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