Vassilina Nikoulina

A Lightweight Terminology Verification Service for External Machine Translation Engines

We propose a demonstration of a domainspecific terminology checking service which works on top of any generic blackbox MT, and only requires access to a bilingual terminology resource in the domain. In cases where an incorrect translation of a source term was proposed by the generic MT service, our service locates the wrong translation of the term in the target and suggests a terminologically correct translation for this term.

Domain adaptation of statistical machine translation models with monolingual data for cross lingual information retrieval

Statistical Machine Translation (SMT) is often used as a black-box in CLIR tasks. We propose an adaptation method for an SMT model relying on the monolingual statistics that can be extracted from the document collection (both source and target if available). We evaluate our approach on CLEF Domain Specific task (German-English and English-German) and show that very simple document collection statistics integrated in SMT translation model allow to obtain good gains both in terms of IR metrics (MAP, P10) and MT evaluation metrics (BLEU, TER).