On a semantic model for multi-lingual paraphrasing

Authors:
Kazunori Muraki
Affiliations:
C & C Systems Res., Labs., Nippon Electric Co., Ltd., Kawasaki, Japan
Venue:
COLING '82 Proceedings of the 9th conference on Computational linguistics - Volume 1
Year:
1982

Citing 1
Cited 3

Sentence paraphrasing from a conceptual base

Communications of the ACM

Future directions of machine translation

COLING '86 Proceedings of the 11th coference on Computational linguistics
A machine(-aided) translation bibliography: generally restricted to currently accessible documents written in English, French, or German during the years 1973-1984

Computational Linguistics - Special issue on machine translation
Learning sentential paraphrases from bilingual parallel corpora for text-to-text generation

EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing

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Abstract

The aim of the present paper is to formalize semantic-directed lexical selection by virtue of frame-based semantic inference capability built in the CFL representation language. The DG model of paraphrasing semantic descriptions can explicate logical process of knowledge-based sentence generation excluding any particular procedures for lexical selection or syntax structure generation. In addition this paper emphasises that this model is basically not dependent on target languages.