2017
EMNLP
EMNLP 2017
Learning Translations via Matrix Completion
Abstract
AbstractBilingual Lexicon Induction is the task of learning word translations without bilingual parallel corpora. We model this task as a matrix completion problem, and present an effective and extendable framework for completing the matrix. This method harnesses diverse bilingual and monolingual signals, each of which may be incomplete or noisy. Our model achieves state-of-the-art performance for both high and low resource languages.
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Interdisciplinary Bridge
- Artificial Intelligence and Natural Language Processing
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Hot Topic Early Bird
- low-resource language
Authors
Topics
Machine Learning > Core Methods > Representation Learning
Machine Learning > Optimization & Theory > Optimization
Natural Language Processing > Applications > Machine Translation
Machine Learning > Core Methods > Matrix Factorization
Deep Learning > Learning Types > Representation Learning
Machine Learning > Core Methods > Matrix Completion