Many NLP pipelines split text into sentences as one of the crucial preprocessing steps. Prior
sentence segmentation tools either rely on punctuation or require a considerable amount of …

This paper addresses the challenges of evaluating document-level machine translation (MT)
in the context of recent advances in context-aware neural machine translation (NMT). It …

Speech segmentation is an essential part of speech translation (ST) systems in real-world
scenarios. Since most ST models are designed to process speech segments, long-form …

Les nouvelles architectures de traduction automatique sont capables de traiter des
segments longs et de surpasser la traduction de phrases isolées, laissant entrevoir la …

In natural language processing, much current research focuses on training larger and larger
models on more and more data. In this thesis, we argue that how data is represented can …

Sentence splitting, that is the segmentation of the raw input text into sentences, is a
fundamental step in text processing. Although it is considered a solved task for texts such as …

The question of context in neural machine translation often focuses on topics related to
document-level translation or intersentential context. However, there is a wide range of other …