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Communication Dans Un Congrès Année : 2013

LORIA System for the WMT13 Quality Estimation Shared Task

Résumé

In this paper we present the system we submitted to the WMT13 shared task on Quality Estimation. We participated to the Task 1.1. Each translated sentence is given a score between 0 and 1. The score is obtained by using several numerical or boolean features calculated according to the source and target sentences. We perform a linear regression of the feature space against scores in the range [0..1], to this end, we use a Support Vector Machine with 66 features. In this paper, we propose to increase the size of the training corpus. For that, we decide to use the post-edited and reference corpora in the training step after assigning a score to each sentence of these corpora. Then, we tune these scores on a development corpus. This leads to an improvement of 10.5% on the development corpus, in terms of Mean Average Error, but achieves only a sligth improvement on the test corpus.
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Dates et versions

hal-00923623 , version 1 (15-11-2017)

Identifiants

  • HAL Id : hal-00923623 , version 1

Citer

David Langlois, Kamel Smaïli. LORIA System for the WMT13 Quality Estimation Shared Task. ACL 2013 - Eighth Workshop on Statistical Machine Translation, Aug 2013, Sofia, Bulgaria. pp.380 - 385. ⟨hal-00923623⟩
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