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07/19/2022
On the cross-lingual transferability of multilingual prototypical models across NLU tasks
Supervised deep learning-based approaches have been applied to task-orie...
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07/19/2022
Benchmarking Transformers-based models on French Spoken Language Understanding tasks
In the last five years, the rise of the self-attentional Transformer-bas...
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07/19/2022
On the Usability of Transformers-based models for a French Question-Answering task
For many tasks, state-of-the-art results have been achieved with Transfo...
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10/16/2019
Using Whole Document Context in Neural Machine Translation
In Machine Translation, considering the document as a whole can help to ...
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07/06/2019
Qwant Research @DEFT 2019: Document matching and information retrieval using clinical cases
This paper reports on Qwant Research contribution to tasks 2 and 3 of th...
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03/27/2019
Image search using multilingual texts: a cross-modal learning approach between image and text
Multilingual (or cross-lingual) embeddings represent several languages i...
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03/27/2019
Image search using multilingual texts: a cross-modal learning approach between image and text Maxime Portaz Qwant Research
Multilingual (or cross-lingual) embeddings represent several languages i...
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09/12/2017
SYSTRAN Purely Neural MT Engines for WMT2017
This paper describes SYSTRAN's systems submitted to the WMT 2017 shared ...
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12/19/2016
Domain specialization: a post-training domain adaptation for Neural Machine Translation
Domain adaptation is a key feature in Machine Translation. It generally ...
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12/06/2016
Listen and Translate: A Proof of Concept for End-to-End Speech-to-Text Translation
This paper proposes a first attempt to build an end-to-end speech-to-tex...
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10/18/2016
SYSTRAN's Pure Neural Machine Translation Systems
Since the first online demonstration of Neural Machine Translation (NMT)...
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10/05/2016