Extracting Paraphrases from a Parallel Corpus

 Regina Barzilay, Kathleen McKeown


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.


The source code for this work can be downloaded from the link below.

Source code