Linguistically-Based Sub-Sentential Alignment for Terminology Extraction from a Bilingual Automotive Corpus

We present a sub-sentential alignment system that links linguistically motivated phrases in parallel texts based on lexical correspondences and syntactic similarity. We compare the performance of our subsentential alignment system with different symmetrization heuristics that combine the GIZA++ alignments of both translation directions. We demonstrate that the aligned linguistically motivated phrases are a useful means to extract bilingual terminology and more specifically complex multiword terms.

• Type: Conference
• Year: 2008
• Where: COLING
• Authors: Lieve Macken, Els Lefever, Véronique Hoste
• Keywords: COLING 2008, Computational Linguistics, Linguistically, Sub-sentential Alignment, Syntactic Similarity