Corpus-based generation of numeral classifier using phrase alignment

Authors:
Michael Paul;Eiichiro Sumita;Seiichi Yamamoto
Affiliations:
ATR Spoken Language Translation Research Laboratories;ATR Spoken Language Translation Research Laboratories;ATR Spoken Language Translation Research Laboratories
Venue:
COLING '02 Proceedings of the 19th international conference on Computational linguistics - Volume 1
Year:
2002

Citing 10
Cited 0

Introduction to algorithms

Introduction to algorithms
Experiments and prospects of Example-Based Machine Translation

ACL '91 Proceedings of the 29th annual meeting on Association for Computational Linguistics
Structural matching of parallel texts

ACL '93 Proceedings of the 31st annual meeting on Association for Computational Linguistics
Reusing an ontology to generate numeral classifiers

COLING '00 Proceedings of the 18th conference on Computational linguistics - Volume 1
Classifier assignment by corpus-based approach

COLING '94 Proceedings of the 15th conference on Computational linguistics - Volume 1
Learning translation templates from bilingual text

COLING '92 Proceedings of the 14th conference on Computational linguistics - Volume 2
Classifiers in Japanese-to-English machine translation

COLING '96 Proceedings of the 16th conference on Computational linguistics - Volume 1
Alignment of shared forests for bilingual corpora

COLING '96 Proceedings of the 16th conference on Computational linguistics - Volume 1
Acquisition of phrase-level bilingual correspondence using dependency structure

COLING '00 Proceedings of the 18th conference on Computational linguistics - Volume 2
Example-based machine translation using DP-matching between word sequences

DMMT '01 Proceedings of the workshop on Data-driven methods in machine translation - Volume 14

Quantified Score

Hi-index	0.01

Visualization

Abstract

A severe problem for NLP applications dealing with multilingual language resources is the acquisition of knowledge that is obligatory in one language but not explicitly expressed in another language. In this paper, we focus on numeral classifiers, which are required in languages like Japanese but are usually not explicitly used in languages like English, which don't have such a classifier system.We propose a uniform method to assign the numeral classifiers of languages that have a numeral classifier system to the numerals of non-classifier languages. The omitted classifier information is extracted from a bilingual corpus based on phrasal correspondences in the contexts of the respective sentences.