Paper: Translation Acquisition Using Synonym Sets

ACL ID N13-1075
Title Translation Acquisition Using Synonym Sets
Venue Annual Conference of the North American Chapter of the Association for Computational Linguistics
Session Main Conference
Year 2013
Authors

We propose a new method for translation ac- quisition which uses a set of synonyms to ac- quire translations from comparable corpora. The motivation is that, given a certain query term, it is often possible for a user to specify one or more synonyms. Using the resulting set of query terms has the advantage that we can overcome the problem that a single query term?s context vector does not always reliably represent a terms meaning due to the context vector?s sparsity. Our proposed method uses a weighted average of the synonyms? context vectors, that is derived by inferring the mean vector of the von Mises-Fisher distribution. We evaluate our method, using the synsets from the cross-lingually aligned Japanese and English WordNet. The experiments show that our proposed method significantly im...