LIG System for WMT13 QE Task: Investigating the Usefulness of Features in Word Confidence Estimation for MT - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2013

LIG System for WMT13 QE Task: Investigating the Usefulness of Features in Word Confidence Estimation for MT

Résumé

This paper presents the LIG's systems submitted for Task 2 of WMT13 Quality Estimation campaign. This is a word confidence estimation (WCE) task where each participant was asked to label each word in a translated text as a binary (Keep/Change) or multi-class (Keep/Substitute/Delete) category. We integrate a number of features of various types (system-based, lexical, syntactic and semantic) into the conventional feature set, for our baseline classifier training. After the experiments with all features, we deploy a " Feature Selection " strategy to keep only the best performing ones. Then, a method that combines multiple " weak " classifiers to build a strong " composite " classifier by taking advantage of their complementarity is presented and experimented. We then select the best systems for submission and present the official results obtained.
Fichier principal
Vignette du fichier
LIGSystemForWMT13_ok.pdf (550.88 Ko) Télécharger le fichier
Origine : Fichiers éditeurs autorisés sur une archive ouverte
Loading...

Dates et versions

hal-00953773 , version 1 (23-11-2017)

Identifiants

  • HAL Id : hal-00953773 , version 1

Citer

Ngoc-Quang Luong, Benjamin Lecouteux, Laurent Besacier. LIG System for WMT13 QE Task: Investigating the Usefulness of Features in Word Confidence Estimation for MT. 8th Workshop on Statistical Machine Translation, 2013, Sofia, Bulgaria. pp.386-391. ⟨hal-00953773⟩
75 Consultations
94 Téléchargements

Partager

Gmail Facebook X LinkedIn More