A method for identifying V+N compound nouns in patent machine translation

Hong Zheng Li, He Zhou, Yao Hong Jin

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In this paper, we introduced one kind of special compound noun in Chinese patent texts composed of verb and noun, and presented a rule-based method for Chinese-English patent Machine Translation (MT) to improve the identification of compound nouns, with the purpose of decreasing the possibilities that verbs may disturb the identification of core predicate verb. The system first tagged different weights on verbs then determined the properties of verbs and recognized the compounds according to the weights. We then conducted experiments with the method, which proved that the method could identify compound nouns efficiently.

Original languageEnglish
Title of host publicationApplied Science, Materials Science and Information Technologies in Industry
Pages4617-4620
Number of pages4
DOIs
Publication statusPublished - 2014
Externally publishedYes
Event2014 International Conference on Advances in Materials Science and Information Technologies in Industry, AMSITI 2014 - Xian, China
Duration: 11 Jan 201412 Jan 2014

Publication series

NameApplied Mechanics and Materials
Volume513-517
ISSN (Print)1660-9336
ISSN (Electronic)1662-7482

Conference

Conference2014 International Conference on Advances in Materials Science and Information Technologies in Industry, AMSITI 2014
Country/TerritoryChina
CityXian
Period11/01/1412/01/14

Keywords

  • Identification
  • Machine translation
  • Rule
  • V+N compound nouns
  • Weight

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