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Academic Paper

Title: Extraction of multi-word expressions from small parallel corpora
Author: Yulia Tsvetkov
Institution: Language Technologies Institute Carnegie Mellon University
Author: Shuly Wintner
Institution: University of Haifa
Linguistic Field: Computational Linguistics; Text/Corpus Linguistics
Abstract: We present a general, novel methodology for extracting multi-word expressions (MWEs) of various types, along with their translations, from small, word-aligned parallel corpora. Unlike existing approaches, we focus on misalignments; these typically indicate expressions in the source language that are translated to the target in a non-compositional way. We introduce a simple algorithm that proposes MWE candidates based on such misalignments, relying on 1:1 alignments as anchors that delimit the search space. We use a large monolingual corpus to rank and filter these candidates. Evaluation of the quality of the extraction algorithm reveals significant improvements over naïve alignment-based methods. The extracted MWEs, with their translations, are used in the training of a statistical machine translation system, showing a small but significant improvement in its performance.


This article appears IN Natural Language Engineering Vol. 18, Issue 4, which you can READ on Cambridge's site or on LINGUIST .

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