Title
Computational Modeling Of Verb Acquisition, From A Monolingual To A Bilingual Study
Abstract
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.
Year
Venue
Keywords
2010
PROCEEDINGS OF THE 24TH PACIFIC ASIA CONFERENCE ON LANGUAGE, INFORMATION AND COMPUTATION
Computational model, Acquisition, cross-linguistic study, French, Mandarin
Field
DocType
Citations 
Verb,Computer science,French,Artificial intelligence,Natural language processing,Linguistics,Data structure alignment
Conference
2
PageRank 
References 
Authors
0.49
7
3
Name
Order
Citations
PageRank
Laurent Prévot16014.34
Chun-Han Chang251.77
Yann Desalle353.69