Au cours des dernières années, l’intérêt porté par la communauté scientifique à traduction audiovisuelle n’a cessé de croître, en raison constante évolution du métier traducteur audiovisuel, comme l’indique Gauthier : « les médias sont et mentalité audiovisuel doit être celle d’un découvreur » (2022 :156). Parallèlement, l’enseignement audiovisuelle, dans toutes ses modalités (sous-titrage, dou...

EnglishGlobalization has changed the way we see Other. This change an important impact on translation. Also, thanks to process of mondialite, postcolonial authors have succeeded in appropriating dominant language by using heterolingual strategies. kind strategy makes translation even more difficult. article analyses some problems a possible novel Bord de Canal, Frenchcreole- speaking writer Alf...

Le choix du multilinguisme dans les organisations internationales implique un travail constant – et coûteux de traduction d’interprétariat, dont répercussions politiques sont encore trop souvent sous-estimées. Ce ces dernières que le présent dossier vise à éclairer, une perspective pluridisciplinaire.

In this paper we report an experiment of an automated metric used to analyze the grammaticality of machine translation output. The approach (Rajman, Hartley, 2001) is based on the distribution of the linguistic information within a translated text, which is supposed similar between a learning corpus and the translation. This method is quite inexpensive, since it does not need any reference tran...

The present research aims to exploit comparable corpora for Statistical Machine Translation (SMT). First, a hybrid approach based on statistical and linguistics-based information is proposed for bilingual terminology extraction from Wikipedia documents. Then, we propose a hybrid approach based on length and dictionary model for the alignment of the United Nations (UN) corpus at the sentence lev...

If neural networks play an increasingly important role in natural language processing, training issues still hinder their dissemination in the community. This paper studies different learning strategies for neural language models (including two new strategies), focusing on the adaptation of the learning rate. Experimental results show the impact of the design of such strategy. Moreover, provide...