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- W2897429605 abstract "Arabic WordNet (AWN) is a lexical database, freely available, and useful resource to Natural Language Processing (NLP) research and applications (Information Retrieval, Machine Translation...). This project is built following the methods developed for Princeton WordNet (PWN) and EuroWordNet (EWN). However, this database needs more intention to improve NLP applications. Compared with others wordnets, AWN has a very poor content in both, quantity and quality levels. This paper concentrate on the quality plan, especially on the antonym relations. Therefore, the authors propose a pattern-based approach to extend these relations, using Arabic Corpus and a corpus analysis tool. This proposed method relies on two steps: patterns definition and automatic antonym pair extraction. The evaluation of this approach has given good results." @default.
- W2897429605 created "2018-10-26" @default.
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- W2897429605 date "2018-01-01" @default.
- W2897429605 modified "2023-10-18" @default.
- W2897429605 title "The Enrichment of Arabic WordNet Antonym Relations" @default.
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- W2897429605 doi "https://doi.org/10.1007/978-3-319-77113-7_27" @default.
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