Paper: From Bilingual Dictionaries to Interlingual Document Representations

ACL ID P11-2026
Title From Bilingual Dictionaries to Interlingual Document Representations
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2011
Authors

Mapping documents into an interlingual rep- resentation can help bridge the language bar- rier of a cross-lingual corpus. Previous ap- proaches use aligned documents as training data to learn an interlingual representation, making them sensitive to the domain of the training data. In this paper, we learn an in- terlingual representation in an unsupervised manner using only a bilingual dictionary. We first use the bilingual dictionary to find candi- date document alignments and then use them to find an interlingual representation. Since the candidate alignments are noisy, we de- velop a robust learning algorithm to learn the interlingual representation. We show that bilingual dictionaries generalize to different domains better: our approach gives better per- formance than either a word by w...