In our globalized world, a growing number of situations arise where peop...
Many NLP tasks require to automatically identify the most significant wo...
The NLP community has mainly focused on scaling Large Language Models (L...
The NLP community recently saw the release of a new large open-access
mu...
Machine Translation (MT) is usually viewed as a one-shot process that
ge...
Part-of-Speech (POS) tagging is an important component of the NLP pipeli...
Non-autoregressive machine translation (NAT) has recently made great
pro...
Subtitles appear on screen as short pieces of text, segmented based on f...
As the amount of audio-visual content increases, the need to develop
aut...
After a period of decrease, interest in word alignments is increasing ag...
This paper aims at identifying the information flow in state-of-the-art
...
Machine translation is generally understood as generating one target tex...
With the advent of end-to-end deep learning approaches in machine
transl...
Code-Switching (CSW) is a common phenomenon that occurs in multilingual
...
Word alignments identify translational correspondences between words in ...
Word alignments identify translational correspondences between words in ...
Multilingualism is a cultural cornerstone of Europe and firmly anchored ...
One of the basic tasks of computational language documentation (CLD) is ...
Neural Machine Translation (MT) has radically changed the way systems ar...
We present a first attempt to perform attentional word segmentation dire...
Developing speech technologies for low-resource languages has become a v...