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Título del libro: Optimal Energy Growth In Variable-Density Mixing Layers At High Atwood Number
Título del capítulo: Lexical access via a simple co-occurrence network

Autores UNAM:
GEMMA BEL ENGUIX;

Autores externos:

Idioma:
Inglés

Año de publicación:
2013

Palabras clave:

Computational linguistics; Anomia; Co-occurrence; Co-occurrence networks; Computational resources; Corpus linguistics; Lexical access; Lexical networks; Simple++; Target words; Tip of the tongue; Graph theory

Resumen:

During the last two decades psychologists and computational linguists have attempted to tackle the problem of word access via computational resources, yet hardly none of them has seriously tried to support 'interactive' word finding. Yet, a lot of work has been done to understand the causes of the tip-of-the-tongue problem (TOT). Given the progress made in neuroscience, corpus linguistics, and graph theory (complex graphs), one may be tempted to emulate the mental lexicon, or to build a resource likely to help authors (speakers, writers) to overcome word-finding problems. Our goal here is much more limited. We try to identify good hints for finding a target word. To this end we have built a co-occurrence network on the basis of Wikipedia abstracts. Since the network is built automatically and from raw data, i.e. non-annotated text, it does not reveal the kind of relationship holding between the nodes. Despite this shortcoming we tried to see whether we can find a given word, or, to identify what is a good clue word. © 2013 Proceedings of TALN. All rights reserved.

Entidades citadas de la UNAM:

Título del libro: Optimal Energy Growth In Variable-Density Mixing Layers At High Atwood NumberTítulo del capítulo: Lexical access via a simple co-occurrence network

Título del libro: Optimal Energy Growth In Variable-Density Mixing Layers At High Atwood Number
Título del capítulo: Lexical access via a simple co-occurrence network