Paper: Joint Learning of a Dual SMT System for Paraphrase Generation

ACL ID P12-2008
Title Joint Learning of a Dual SMT System for Paraphrase Generation
Venue Annual Meeting of the Association of Computational Linguistics
Session Short Paper
Year 2012
Authors

SMT has been used in paraphrase generation by translating a source sentence into another (pivot) language and then back into the source. The resulting sentences can be used as candi- date paraphrases of the source sentence. Exist- ing work that uses two independently trained SMT systems cannot directly optimize the paraphrase results. Paraphrase criteria espe- cially the paraphrase rate is not able to be en- sured in that way. In this paper, we propose a joint learning method of two SMT systems to optimize the process of paraphrase genera- tion. In addition, a revised BLEU score (called iBLEU ) which measures the adequacy and diversity of the generated paraphrase sentence is proposed for tuning parameters in SMT sys- tems. Our experiments on NIST 2008 test- ing data with automatic evaluati...