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Extraction of Type-Logical Supertags from the Spoken Dutch Corpus

Richard Moot 1, 2 
2 SIGNES - Linguistic signs, grammar and meaning: computational logic for natural language
Université Sciences et Technologies - Bordeaux 1, Inria Bordeaux - Sud-Ouest, École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB), CNRS - Centre National de la Recherche Scientifique : UMR5800
Abstract : The Spoken Dutch Corpus assigns 1 million of its 9 million total words a syn- tactic annotation in the form of dependency graphs. We will look at strategies for automatically extracting a lexicon of type-logical supertags from these dependency graphs and investigate how different levels of lexical detail affect the size of the resulting lexicon as well as the performance with respect to supertag disambiguation.
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https://hal.inria.fr/inria-00413347
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Submitted on : Tuesday, June 22, 2010 - 9:27:27 AM
Last modification on : Saturday, June 25, 2022 - 8:29:39 PM
Long-term archiving on: : Thursday, September 23, 2010 - 12:46:36 PM

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Richard Moot. Extraction of Type-Logical Supertags from the Spoken Dutch Corpus. Aravind Joshi and Srinivas Bangalore. Supertagging: Using Complex Lexical Descriptions in Natural Language Processing, MIT Press, 2010, ISBN-10: 0-262-01387-8 ISBN-13: 978-0-262-01387-1. ⟨inria-00413347v2⟩

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