Paper: Cross-Lingual Semantic Similarity of Words as the Similarity of Their Semantic Word Responses

ACL ID N13-1011
Title Cross-Lingual Semantic Similarity of Words as the Similarity of Their Semantic Word Responses
Venue Annual Conference of the North American Chapter of the Association for Computational Linguistics
Session Main Conference
Year 2013
Authors

We propose a new approach to identifying semantically similar words across languages. The approach is based on an idea that two words in different languages are similar if they are likely to generate similar words (which in- cludes both source and target language words) as their top semantic word responses. Se- mantic word responding is a concept from cognitive science which addresses detecting most likely words that humans output as free word associations given some cue word. The method consists of two main steps: (1) it uti- lizes a probabilistic multilingual topic model trained on comparable data to learn and quan- tify the semantic word responses, (2) it pro- vides ranked lists of similar words accord- ing to the similarity of their semantic word response vectors. We evaluate our appro...