Paper: Mining Key Phrase Translations From Web Corpora

ACL ID H05-1061
Title Mining Key Phrase Translations From Web Corpora
Venue Conference on Empirical Methods in Natural Language Processing
Session Main Conference
Year 2005
Authors

Key phrases are usually among the most information-bearing linguistic structures. Translating them correctly will improve many natural language processing appli- cations. We propose a new framework to mine key phrase translations from web corpora. We submit a source phrase to a search engine as a query, then expand queries by adding the translations of topic-relevant hint words from the re- turned snippets. We retrieve mixed- language web pages based on the ex- panded queries. Finally, we extract the key phrase translation from the second- round returned web page snippets with phonetic, semantic and frequency- distance features. We achieve 46% phrase translation accuracy when using top 10 re- turned snippets, and 80% accuracy with 165 snippets. Both results are signifi- cantly better than ...