Abstract
TreeLex is a subcategorization lexicon of French, automatically extracted from a syntactically annotated corpus. The lexicon comprises 2006 verbs (25076 occurrences). The goal of the project is to obtain a list of subcategorization frames of contemporary French verbs and to estimate the number of different verb frames available in French in general. A few more frames are discovered when the corpus size changes, but the average number of frames per verb remains relatively stable (about 1.91–2.09 frames per verb).
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Kupść, A., Abeillé, A. (2008). Growing TreeLex. In: Gelbukh, A. (eds) Computational Linguistics and Intelligent Text Processing. CICLing 2008. Lecture Notes in Computer Science, vol 4919. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-78135-6_3
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DOI: https://doi.org/10.1007/978-3-540-78135-6_3
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