A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf
.
Stochastic Inversion Transduction Grammars, with Application to Segmentation, Bracketing, and Alignment of Parallel Corpora
1995
International Joint Conference on Artificial Intelligence
We introduce (1) a novel stochavic inversion trans duction grammar formalism for bilingual language modeling of sentence-pairs and (2) the concept of bilingual parsing with potential application to a variety of parallel corpus analysis problems The formalism combines three tactics against the con straints that render finite-state transducers less useful it skips directly to a context-free rather than finite-state base it permits a minimal extra degree of ordering flexibility and its
dblp:conf/ijcai/Wu95
fatcat:it7vfit3hfbynbmd3eazwkiuim