activity
20162023
most citedListen and Translate: A Proof of Concept for End-to-End Speech-to-Text Translation

116 citations · 118 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CL2023

Encoding Sentence Position in Context-Aware Neural Machine Translation with Concatenation

Lorenzo Lupo, Marco Dinarelli, Laurent Besacier

Context-aware translation can be achieved by processing a concatenation of consecutive sentences with the standard Transformer architecture. This paper investigates the intuitive i…

cs.CL2022

BERT, can HE predict contrastive focus? Predicting and controlling prominence in neural TTS using a language model

Brooke Stephenson, Laurent Besacier, Laurent Girin +1

Several recent studies have tested the use of transformer language model representations to infer prosodic features for text-to-speech synthesis (TTS). While these studies have exp…

cs.CL2016116 cited

Listen and Translate: A Proof of Concept for End-to-End Speech-to-Text Translation

Alexandre Berard, Olivier Pietquin, Christophe Servan +1

This paper proposes a first attempt to build an end-to-end speech-to-text translation system, which does not use source language transcription during learning or decoding. We propo…

cs.CL20161 cited

Word2Vec vs DBnary: Augmenting METEOR using Vector Representations or Lexical Resources?

Christophe Servan, Alexandre Berard, Zied Elloumi +2

This paper presents an approach combining lexico-semantic resources and distributed representations of words applied to the evaluation in machine translation (MT). This study is ma…

cs.CL2016

Inducing Multilingual Text Analysis Tools Using Bidirectional Recurrent Neural Networks

Othman Zennaki, Nasredine Semmar, Laurent Besacier

This work focuses on the rapid development of linguistic annotation tools for resource-poor languages. We experiment several cross-lingual annotation projection methods using Recur…

cs.CL20161 cited

Automatic Quality Assessment for Speech Translation Using Joint ASR and MT Features

Ngoc-Tien Le, Benjamin Lecouteux, Laurent Besacier

This paper addresses automatic quality assessment of spoken language translation (SLT). This relatively new task is defined and formalized as a sequence labeling problem where each…