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A Rule-Based Morphosemantic Analyzer for French for a Fine-Grained Semantic Annotation of Texts

  • Conference paper
Systems and Frameworks for Computational Morphology (SFCM 2013)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 380))

Abstract

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.

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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. https://doi.org/10.1007/978-3-642-40486-3_6

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  • DOI: https://doi.org/10.1007/978-3-642-40486-3_6

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-40485-6

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