In this article, we conduct an empirical investigation of translation divergences between
Chinese and English relying on a parallel treebank. To do this, we first devise a hierarchical …

In text and speech, there are various features that express the individuality of the writer or
speaker. In this paper, we take a step towards the creation of dialogue systems that consider …

This article presents a probabilistic sub-tree alignment model and its application to tree-to-
tree machine translation. Unlike previous work, we do not resort to surface heuristics or …

This paper proposes an Intelligent Text Reading Assistant (ITRA) that works to read the text
in any image to serve visually impaired people and help them to read their surroundings …

We propose a novel unsupervised word alignment method that uses a constraint based on
Inversion Transduction Grammar (ITG) parse trees to jointly unify two directional models …

Je voudrais,a travers ces quelques lignes, remercier tres sincerement les membres du jury:–
M. Dominique Mery, Professeura l'Université de Lorraine pour l'honneur qu'il m'a fait en …

Word alignment, the process of inferring the implicit links between words across two
languages, serves as an integral piece of the puzzle of learning linguistic translation …

Abstract Natural Language Processing (NLP) is the field of Artificial Intelligence research
that aims to teach computers to produce and understand human text and speech. Major …

Ideally, tree-to-tree machine translation (MT) that utilizes syntactic parse trees on both
source and target sides could preserve non-local structure, and thus generate fluent and …

La presente tesi di dottorato è dedicata allo studio critico delle diverse tipologie di sussidi
digitali per la traduzione e della traduzione automatica. Entrambe queste realtà sono ormai …