A Rule-Based Morphosemantic Analyzer for French for a Fine-Grained Semantic Annotation of Texts
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- Namer F. (2013) A Rule-Based Morphosemantic Analyzer for French for a Fine-Grained Semantic Annotation of Texts. In: Mahlow C., Piotrowski M. (eds) Systems and Frameworks for Computational Morphology. SFCM 2013. Communications in Computer and Information Science, vol 380. Springer, Berlin, Heidelberg
We describe DériF, a rule-based morphosemantic analyzer developed for French. Unlike existing word segmentation tools, DériF provides derived and compound words with various sorts of semantic information: (1) a definition, computed from both the base meaning and the specificities of the morphological rule; (2) lexical-semantic features, inferred from general linguistic properties of derivation rules; (3) lexical relations (synonymy, (co-)hyponymy) with other, morphologically unrelated, words belonging to the same analyzed corpus.
KeywordsNLP morphosemantic approach rule-based French derivation neoclassical compounding lexical-semantic feature neologism automatic definition synonymy hyponymy co-hyponymy
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