2014 · 16 citations · 17 references
ComputingComputer ScienceLinguisticsComputational LinguisticsDialectologyNatural Language ProcessingAnnotationDialect ClassificationLanguage ModelingNamed Entity RecognitionSemantic NetworksWord Sense DisambiguationCorpus CreationCorpus-based Dialect AnalysisDialect AnnotationDialect VocabularyDialectal VocabularyLexical ClassificationLexical Resource EvaluationMultilingual Lexical Databases
In this paper, we propose TunDiaWN (Tunisian dialect Wordnet) a lexical resource for the dialect language spoken in Tunisia. Our TunDiaWN construction approach is founded, in one hand, on a corpus based method to analyze and extract Tunisian dialect words. A clustering technique is adapted and applied to mine the possible relations existing between the Tunisian dialect extracted words and to group them into meaningful groups. All these suggestions are then evaluated and validated by the experts to perform the resource enrichment task. We reuse other Wordnet versions, mainly for English and Arabic language to propose a new database structure enriched by innovative features and entities.
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