While paraphrasing is critical both for interpretation and generation of natural language, current systems use manual or semi-automatic methods to collect paraphrases. We present an unsupervised learning algorithm for identification of paraphrases from a corpus of multiple English translations of the same source text. Our approach yields phrasal and single word lexical paraphrases as well as syntactic paraphrases.
REF presented an unsupervised learning approach to extract paraphrases of words and phrases from different English translations of the identical source language sentences.
Extracting Paraphrases From A Parallel Corpus
Annual Meeting Of The Association For Computational Linguistics
Computer Science