Paper: Enhancing Grammatical Cohesion: Generating Transitional Expressions for SMT

ACL ID P14-1080
Title Enhancing Grammatical Cohesion: Generating Transitional Expressions for SMT
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2014
Authors

Transitional expressions provide glue that holds ideas together in a text and enhance the logical organization, which together help im- prove readability of a text. However, in most current statistical machine translation (SMT) systems, the outputs of compound-complex sentences still lack proper transitional expres- sions. As a result, the translations are often hard to read and understand. To address this issue, we propose two novel models to en- courage generating such transitional expres- sions by introducing the source compound- complex sentence structure (CSS). Our models include a CSS-based translation model, which generates new CSS-based translation rules, and a generative transfer model, which en- courages producing transitional expressions during decoding. The two model...