Computational Modeling of Verb Acquisition, from a Monolingual to a Bilingual Study

نویسندگان

  • Laurent Prévot
  • Chun-Han Chang
  • Yann Desalle
چکیده

Going cross-linguistic is a an important but challenging track for validating a computational model of lexical organization. Our starting point is a computational model that has been established and validated on French language and we attempted to apply it on Mandarin language. The main ingredients of this model are computational lexical resources and a psycho-linguistic protocol involving extra-linguistic material (video-clips). At this stage, all the psycho-linguistic experiments have been ran, most of the resources have been built but some comparative analyses are not fully completed. Still the project is advanced enough to report on the issues we had to address while performing this cross-linguistic move concerning the resources, the analysis of the data and the data alignment across languages.

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تاریخ انتشار 2010