Fethi Bougares

E902334

Fethi Bougares is a researcher in natural language processing and machine translation, known for co-authoring influential work on RNN-based encoder–decoder models for statistical machine translation.

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Fethi Bougares canonical 1

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Predicate Object
instanceOf computer scientist
natural language processing researcher
researcher
activeIn 21st century
coAuthorOf “Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation” NERFINISHED
coAuthorWith Bart van Merriënboer NERFINISHED
Dzmitry Bahdanau NERFINISHED
Holger Schwenk NERFINISHED
Kyunghyun Cho NERFINISHED
Yoshua Bengio NERFINISHED
contributedTo development of RNN encoder–decoder models
transition from statistical to neural machine translation
fieldOfWork deep learning
machine translation
natural language processing
speech processing
hasResearchInterest encoder–decoder architectures
language modeling
low-resource language processing
multilingual NLP
neural machine translation
neural networks for sequence modeling
sequence-to-sequence learning
speech recognition
spoken language processing
statistical machine translation
knownFor RNN-based encoder–decoder models for statistical machine translation
neural machine translation research
language English
French
publicationType conference papers
journal articles
workshop papers
worksOn RNN-based sequence models
applications of deep learning to language
neural approaches to machine translation

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