Paper: Automated Translation of Semantic Relationships

ACL ID C10-1028
Title Automated Translation of Semantic Relationships
Venue International Conference on Computational Linguistics
Session Main Conference
Year 2010
Authors

We present a method for translating se- mantic relationships between languages where relationships are defined as pattern clusters. Given a pattern set which rep- resents a semantic relationship, we use the web to extract sample term pairs of this relationship. We automatically trans- late the obtained term pairs using multi- lingual dictionaries and disambiguate the translated pairs using web counts. Finally we discover the set of most relevant tar- get language patterns for the given rela- tionship. The obtained pattern set can be utilized for extraction of new relationship examples for the target language. We evaluate our method on 11 diverse tar- get languages. To assess the quality of the discovered relationships, we use an au- tomatically generated cross-lingual SAT analogy test, Wor...