Learning formulation and transformation rules for multilingual named entities

Authors:
Hsin-Hsi Chen;Changhua Yang;Ying Lin
Affiliations:
National Taiwan University, Taipei, Taiwan;National Taiwan University, Taipei, Taiwan;National Taiwan University, Taipei, Taiwan
Venue:
MultiNER '03 Proceedings of the ACL 2003 workshop on Multilingual and mixed-language named entity recognition - Volume 15
Year:
2003

Citing 6
Cited 10

Machine transliteration

Computational Linguistics
Automatic English-Chinese name transliteration for development of multilingual resources

COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 2
Proper name translation in cross-language information retrieval

COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 1
Identification and classification of proper nouns in Chinese texts

COLING '96 Proceedings of the 16th conference on Computational linguistics - Volume 1
Translating named entities using monolingual and bilingual resources

ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
Backward machine transliteration by learning phonetic similarity

COLING-02 proceedings of the 6th conference on Natural language learning - Volume 20

Translating–transliterating named entities for multilingual information access

Journal of the American Society for Information Science and Technology
Alignment of bilingual named entities in parallel corpora using statistical models and multiple knowledge sources

ACM Transactions on Asian Language Information Processing (TALIP)
A phonetic similarity model for automatic extraction of transliteration pairs

ACM Transactions on Asian Language Information Processing (TALIP)
A Structure-Based Model for Chinese Organization Name Translation

ACM Transactions on Asian Language Information Processing (TALIP)
Chinese-English organization name translation based on correlative expansion

NEWS '09 Proceedings of the 2009 Named Entities Workshop: Shared Task on Transliteration
On jointly recognizing and aligning bilingual named entities

ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
Integrating textual and visual information for cross-language image retrieval

AIRS'05 Proceedings of the Second Asia conference on Asia Information Retrieval Technology
A phrase-based context-dependent joint probability model for named entity translation

IJCNLP'05 Proceedings of the Second international joint conference on Natural Language Processing
From text to image: generating visual query for image retrieval

CLEF'04 Proceedings of the 5th conference on Cross-Language Evaluation Forum: multilingual Information Access for Text, Speech and Images
A joint model to identify and align bilingual named entities

Computational Linguistics

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper investigates three multilingual named entity corpora, including named people, named locations and named organizations. Frequency-based approaches with and without dictionary are proposed to extract formulation rules of named entities for individual languages, and transformation rules for mapping among languages. We consider the issues of abbreviation and compound keyword at a distance. Keywords specify not only the types of named entities, but also tell out which parts of a named entity should be meaning-translated and which part should be phoneme-transliterated. An application of the results on cross language information retrieval is also shown.