Paper: Simple and Effective Approach for Consistent Training of Hierarchical Phrase-based Translation Models

ACL ID E14-4034
Title Simple and Effective Approach for Consistent Training of Hierarchical Phrase-based Translation Models
Venue Annual Meeting of The European Chapter of The Association of Computational Linguistics
Session Main Conference
Year 2014
Authors

In this paper, we present a simple ap- proach for consistent training of hierarchi- cal phrase-based translation models. In order to consistently train a translation model, we perform hierarchical phrase- based decoding on training data to find derivations between the source and tar- get sentences. This is done by syn- chronous parsing the given sentence pairs. After extracting k-best derivations, we reestimate the translation model proba- bilities based on collected rule counts. We show the effectiveness of our proce- dure on the IWSLT German?English and English?French translation tasks. Our results show improvements of up to 1.6 points BLEU.