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Found 5 papers, 1 papers with code
Analyzing Learned Representations of a Deep ASR Performance Prediction Model
In a previous paper, we presented an ASR performance prediction system using CNNs that encode both text (ASR transcript) and speech, in order to predict word error rate.
ASR Performance Prediction on Unseen Broadcast Programs using Convolutional Neural Networks
In this paper, we address a relatively new task: prediction of ASR performance on unseen broadcast programs.
Traitement des Mots Hors Vocabulaire pour la Traduction Automatique de Document OCRis\'es en Arabe (This article presents a new system that automatically translates images of arabic documents)
Les exp{\'e}rimentations sont r{\'e}alis{\'e}s sur un corpus de journaux num{\'e}ris{\'e}s en arabe et permettent d{'}obtenir des am{\'e}liorations en score BLEU de 3, 73 et 5, 5 sur les corpus de d{\'e}veloppement et de test respectivement.
Word2Vec vs DBnary: Augmenting METEOR using Vector Representations or Lexical Resources?
This paper presents an approach combining lexico-semantic resources and distributed representations of words applied to the evaluation in machine translation (MT).
Word2Vec vs DBnary ou comment (r\'e)concilier repr\'esentations distribu\'ees et r\'eseaux lexico-s\'emantiques ? Le cas de l'\'evaluation en traduction automatique (Word2Vec vs DBnary or how to bring back together vector representations and lexical resources ? A case study for machine translation evaluation)
Cet article pr{\'e}sente une approche associant r{\'e}seaux lexico-s{\'e}mantiques et repr{\'e}sentations distribu{\'e}es de mots appliqu{\'e}e {\`a} l{'}{\'e}valuation de la traduction automatique.
