Cross-Language Information Retrieval of Proper Nouns using Context Information

Translating news articles frequently involves finding foreign language equivalents for proper nouns occurring for the first time in an original article, a time-consuming and labor-intensive task. We propose an Internet-based technique for efficiently finding foreign language equivalents for proper nouns via Cross-Language Information Retrieval (CLIR). In this technique, the CLIR of proper nouns that are not registered in any dictionary is made possible using "Relevant Context Words" occurring in the original news articles. Our trial searches for individual name words using this technique resulted in a 90% success rate.

• Type: Conference
• Year: 2001
• Where: NLPRS
• Authors: Isao Goto, Noriyoshi Uratani, Terumasa Ehara
• Keywords: Foreign Language Equivalents, Internet-based Technique, Natural Language Processing, NLPRS 2001, Proper Nouns