Paper: Stochastic Lexicalized Inversion Transduction Grammar For Alignment

ACL ID P05-1059
Title Stochastic Lexicalized Inversion Transduction Grammar For Alignment
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2005
Authors

We present a version of Inversion Trans- duction Grammar where rule probabili- ties are lexicalized throughout the syn- chronous parse tree, along with pruning techniques for efficient training. Align- ment results improve over unlexicalized ITG on short sentences for which full EM is feasible, but pruning seems to have a negative impact on longer sentences.