This paper defines a method for lexicon in the biomedical domain from comparable corpora. The methodis based on compositionaltranslation and exploits morpheme-level translation equivalences. It can generate translations for a large variety of morphologicallyconstructed words and can also generate ’fertile’ translations. We show that fertile translations increase the overall quality of the extracted lexicon for English to French translation.
We chose to work in the framework of compositionality-based translation because: (i) compositional terms form more than 60 (ii) compositionality-based methods have been shown to clearly outperform context-based ones for the translation of terms with compositional meaning @cite_13 (iii) we believe that compositionality-based methods offer the opportunity to generate fertile translations if combined with a morphology-based approach.
@cite_13
2054890041
The automatic compilation of bilingual lists of terms from specialized comparable corpora using lexical alignment has been successful for single-word terms (SWTs), but remains disappointing for multi-word terms (MWTs). The low frequency and the variability of the syntactic structures of MWTs in the source and the target languages are the main reported problems. This paper defines a general framework dedicated to the lexical alignment of MWTs from comparable corpora that includes a compositional translation process and the standard lexical context analysis. The compositional method which is based on the translation of lexical items being restrictive, we introduce an extended compositional method that bridges the gap between MWTs of different syntactic structures through morphological links. We experimented with the two compositional methods for the French–Japanese alignment task. The results show a significant improvement for the translation of MWTs and advocate further morphological analysis in lexical alignment.