Automatically building a Tunisian Lexicon for Deverbal Nouns
نویسندگان
چکیده
The sociolinguistic situation in Arabic countries is characterized by diglossia (Ferguson, 1959) : whereas one variant Modern Standard Arabic (MSA) is highly codified and mainly used for written communication, other variants coexist in regular everyday’s situations (dialects). Similarly, while a number of resources and tools exist for MSA (lexica, annotated corpora, taggers, parsers . . . ), very few are available for the development of dialectal Natural Language Processing tools. Taking advantage of the closeness of MSA and its dialects, one way to solve the problem of the lack of resources for dialects consists in exploiting available MSA resources and NLP tools in order to adapt them to process dialects. This paper adopts this general framework: we propose a method to build a lexicon of deverbal nouns for Tunisian (TUN) using MSA tools and resources as starting material.
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