January 1, 1991

A statistical approach to sense disambiguation in machine translation

Puntos clave

Los puntos clave no están disponibles para este artículo en este momento.

Resumen

We describe a statistical technique for assigning senses to words. An instance of a word is assigned a sense by asking a question about the context in which the word appears. The question is constructed to have high mutual information with the word's translations.

Preguntar a la IA

Me gusta

Guardar

Cite This Study

Brown et al. (Tue,) studied this question.

synapsesocial.com/papers/6a07a07b047d6f4f368b37ea https://doi.org/https://doi.org/10.3115/112405.112427

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

1An iterative 'flip-flop' approximation of the most informative split in the construction of decision trees1991 · 26 citations
2Applications of information theory to pattern recognition and the design of decision trees and trellises1988 · 35 citations
3A statistical approach to machine translation1990 · 1,699 citations
4Word-sense disambiguation using statistical methods1991 · 369 citations
5A tree-based statistical language model for natural language speech recognition1989 · 255 citations

Preguntar a la IA

Me gusta

Guardar