Conférence donnée par Ted Briscoe dans le cadre du séminaire "Language, cognition and computational models".
Building on my earlier work on the Bayesian Incremental Parameter Setting (BIPS) model of L1 acquisition for Generalized Categorial Grammar (GCG). I will describe how to extend this model to provide a unified account of L1/L2 morphosyntactic acquisition which embeds the L1 transfer hypothesis in a formal theory of learning. Previously, I've argued that the BIPS GCG model is able to account for the 'growth' of grammar during creolisation and for some typological universals, when combined with a model of language processing complexity and embedded in an (evolutionary) iterated learning model (ILM) of language change. I will argue that just as the starting point for L1 acquisition is inductively biased, so is the starting point for L2 acquisition but with overlaying effects of the matured L1 parameters. I'll then argue that the BIPS GCG L2 model, combined with an account of processing complexity extended to morphology and embedded in the ILM, predicts that the proportion of L2 speakers of a given language will influence the mophology/syntax trade-off in that language.
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Cursus :
Ted Briscoe (University of Cambridge, UK) has a Linguistics degree (1980) from the University of Lancaster, UK, MSc (1981) and PhD (1984) from the University of Cambridge, UK. His research interests include (nearly-)deterministic, statistical, and robust parsing techniques, acquiring lexical information from electronic textual corpora and dictionaries, defaults and constraint-based approaches to linguistic description, exploiting prosody and punctuation during parsing, models of human language learning and parsing, and evolutionary simulations of language variation and change. He has published over 70 research articles, edited three books, and been Principal/Co-Investigator or Coordinator of fourteen EU and UK funded projects since 1985. He is joint editor of Computer Speech and Language and on the editorial board of Natural Language Engineering.
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