Eric Laporte

Also published as: Éric Laporte


2014

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Proceedings of Workshop on Lexical and Grammatical Resources for Language Processing
Jorge Baptista | Pushpak Bhattacharyya | Christiane Fellbaum | Mikel Forcada | Chu-Ren Huang | Svetla Koeva | Cvetana Krstev | Eric Laporte
Proceedings of Workshop on Lexical and Grammatical Resources for Language Processing

2012

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A new semantically annotated corpus with syntactic-semantic and cross-lingual senses
Myriam Rakho | Éric Laporte | Matthieu Constant
Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC'12)

In this article, we describe a new sense-tagged corpus for Word Sense Disambiguation. The corpus is constituted of instances of 20 French polysemous verbs. Each verb instance is annotated with three sense labels: (1) the actual translation of the verb in the english version of this instance in a parallel corpus, (2) an entry of the verb in a computational dictionary of French (the Lexicon-Grammar tables) and (3) a fine-grained sense label resulting from the concatenation of the translation and the Lexicon-Grammar entry.

2011

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Integration of Data from a Syntactic Lexicon into Generative and Discriminative Probabilistic Parsers
Anthony Sigogne | Matthieu Constant | Éric Laporte
Proceedings of the International Conference Recent Advances in Natural Language Processing 2011

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French parsing enhanced with a word clustering method based on a syntactic lexicon
Anthony Sigogne | Matthieu Constant | Éric Laporte
Proceedings of the Second Workshop on Statistical Parsing of Morphologically Rich Languages

2010

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Proceedings of the 2010 Workshop on Multiword Expressions: from Theory to Applications
Éric Laporte | Preslav Nakov | Carlos Ramisch | Aline Villavicencio
Proceedings of the 2010 Workshop on Multiword Expressions: from Theory to Applications

2006

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Morphological annotation of Korean with Directly Maintainable Resources
Ivan Berlocher | Hyun-gue Huh | Eric Laporte | Jee-sun Nam
Proceedings of the Fifth International Conference on Language Resources and Evaluation (LREC’06)

This article describes an exclusively resource-based method of morphological annotation of written Korean text. Korean is an agglutinative language. Our annotator is designed to process text before the operation of a syntactic parser. In its present state, it annotates one-stem words only. The output is a graph of morphemes annotated with accurate linguistic information. The granularity of the tagset is 3 to 5 times higher than usual tagsets. A comparison with a reference annotated corpus showed that it achieves 89% recall without any corpus training. The language resources used by the system are lexicons of stems, transducers of suffixes and transducers of generation of allomorphs. All can be easily updated, which allows users to control the evolution of the performances of the system. It has been claimed that morphological annotation of Korean text could only be performed by a morphological analysis module accessing a lexicon of morphemes. We show that it can also be performed directly with a lexicon of words and without applying morphological rules at annotation time, which speeds up annotation to 1,210 words. The lexicon of words is obtained from the maintainable language resources through a fully automated compilation process.

2005

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A Resource-based Korean Morphological Annotation System
Hyun-gue Huh | Éric Laporte
Companion Volume to the Proceedings of Conference including Posters/Demos and tutorial abstracts

1986

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Synthesis of Spoken Messages from Semantic Representations (Semantic-Representation-to-Speech System)
Laurence Danlos | Eric Laporte | Francoise Emerard
Coling 1986 Volume 1: The 11th International Conference on Computational Linguistics