Publications

Displaying 201 - 223 of 223
  • Suppes, P., Böttner, M., & Liang, L. (1998). Machine Learning of Physics Word Problems: A Preliminary Report. In A. Aliseda, R. van Glabbeek, & D. Westerståhl (Eds.), Computing Natural Language (pp. 141-154). Stanford, CA, USA: CSLI Publications.
  • De Swart, P., & Van Bergen, G. (2014). Unscrambling the lexical nature of weak definites. In A. Aguilar-Guevara, B. Le Bruyn, & J. Zwarts (Eds.), Weak referentiality (pp. 287-310). Amsterdam: Benjamins.

    Abstract

    We investigate how the lexical nature of weak definites influences the phenomenon of direct object scrambling in Dutch. Earlier experiments have indicated that weak definites are more resistant to scrambling than strong definites. We examine how the notion of weak definiteness used in this experimental work can be reduced to lexical connectedness. We explore four different ways of quantifying the relation between a direct object and the verb. Our results show that predictability of a verb given the object (verb cloze probability) provides the best fit to the weak/strong distinction used in the earlier experiments
  • Terrill, A. (2004). Coordination in Lavukaleve. In M. Haspelmath (Ed.), Coordinating Constructions. (pp. 427-443). Amsterdam: John Benjamins.
  • Thomaz, A. L., Lieven, E., Cakmak, M., Chai, J. Y., Garrod, S., Gray, W. D., Levinson, S. C., Paiva, A., & Russwinkel, N. (2019). Interaction for task instruction and learning. In K. A. Gluck, & J. E. Laird (Eds.), Interactive task learning: Humans, robots, and agents acquiring new tasks through natural interactions (pp. 91-110). Cambridge, MA: MIT Press.
  • Trilsbeek, P., & Koenig, A. (2014). Increasing the future usage of endangered language archives. In D. Nathan, & P. Austin (Eds.), Language Documentation and Description vol 12 (pp. 151-163). London: SOAS. Retrieved from http://www.elpublishing.org/PID/142.
  • Van Leeuwen, T. M., Petersson, K. M., Langner, O., Rijpkema, M., & Hagoort, P. (2014). Color specificity in the human V4 complex: An fMRI repetition suppression study. In T. D. Papageorgiou, G. I. Cristopoulous, & S. M. Smirnakis (Eds.), Advanced Brain Neuroimaging Topics in Health and Disease - Methods and Applications (pp. 275-295). Rijeka, Croatia: Intech. doi:10.5772/58278.
  • Van Berkum, J. J. A., & Nieuwland, M. S. (2019). A cognitive neuroscience perspective on language comprehension in context. In P. Hagoort (Ed.), Human language: From genes and brain to behavior (pp. 429-442). Cambridge, MA: MIT Press.
  • Van Putten, S. (2014). Left-dislocation and subordination in Avatime (Kwa). In R. Van Gijn, J. Hammond, D. Matic, S. van Putten, & A.-V. Galucio (Eds.), Information Structure and Reference Tracking in Complex Sentences. (pp. 71-98). Amsterdam: John Benjamins.

    Abstract

    Left dislocation is characterized by a sentence-initial element which is crossreferenced in the remainder of the sentence, and often set off by an intonation break. Because of these properties, left dislocation has been analyzed as an extraclausal phenomenon. Whether or not left dislocation can occur within subordinate clauses has been a matter of debate in the literature, but has never been checked against corpus data. This paper presents data from Avatime, a Kwa (Niger-Congo) language spoken in Ghana, showing that left dislocation occurs within subordinate clauses in spontaneous discourse. This poses a problem for the extraclausal analysis of left dislocation. I show that this problem can best be solved by assuming that Avatime allows the embedding of units larger than a clause
  • Van Valin Jr., R. D., & Mairal Usón, R. (2014). Interfacing the lexicon and an ontology in a linking system. In M. d. l. Á. Gómez González, F. J. Ruiz de Mendoza Ibáñez, & F. Gonzálvez-García (Eds.), Theory and practice in functional-cognitive space (pp. 205-228). Amsterdam: Benjamins.

    Abstract

    The aim of this paper is to discuss the repercussions of a conceptual orientation on two crucial parts of the Role and Reference Grammar (RRG) linking algorithm, that is, semantic representation and constructional schemas. Firstly, it is argued that adopting FunGramKB’s notion of conceptual logical structure (CLS) over standard RRG logical structures (LSs) has numerous advantages since meaning has now access to conceptual knowledge and therefore a CLS provides a format that goes beyond those aspects that are syntactically visible. The second part introduces the notion of the grammaticon, the component where constructional schemas actually reside. RRG constructional schemas are analyzed within a conceptual framework like that provided in FunGramKB. In essence, it is shown that a conceptual orientation to the RRG linking system by the addition of CLSs enriches the semantic representations in it substantially
  • Van Geenhoven, V. (1998). On the Argument Structure of some Noun Incorporating Verbs in West Greenlandic. In M. Butt, & W. Geuder (Eds.), The Projection of Arguments - Lexical and Compositional Factors (pp. 225-263). Stanford, CA, USA: CSLI Publications.
  • 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 Berkum, J. J. A. (2004). Sentence comprehension in a wider discourse: Can we use ERPs to keep track of things? In M. Carreiras, Jr., & C. Clifton (Eds.), The on-line study of sentence comprehension: eyetracking, ERPs and beyond (pp. 229-270). New York: Psychology 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 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.
  • Von Stutterheim, C., & Klein, W. (2004). Die Gesetze des Geistes sind metrisch: Hölderlin und die Sprachproduktion. In H. Schwarz (Ed.), Fenster zur Welt: Deutsch als Fremdsprachenphilologie (pp. 439-460). München: Iudicium.
  • 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.
  • 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.
  • 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. (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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