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

  • Fiammetta Namer
Conference paper

DOI: 10.1007/978-3-642-40486-3_6

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

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.

Keywords

NLP morphosemantic approach rule-based French derivation neoclassical compounding lexical-semantic feature neologism automatic definition synonymy hyponymy co-hyponymy 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Fiammetta Namer
    • 1
  1. 1.UMR 7118 ATILF - CNRS & Université de LorraineNancyFrance

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