no code implementations • EMNLP (IWSLT) 2019 • Jan Niehues, Rolando Cattoni, Sebastian Stüker, Matteo Negri, Marco Turchi, Thanh-Le Ha, Elizabeth Salesky, Ramon Sanabria, Loic Barrault, Lucia Specia, Marcello Federico
The IWSLT 2019 evaluation campaign featured three tasks: speech translation of (i) TED talks and (ii) How2 instructional videos from English into German and Portuguese, and (iii) text translation of TED talks from English into Czech.
3 code implementations • Meta AI 2022 • NLLB team, Marta R. Costa-jussà, James Cross, Onur Çelebi, Maha Elbayad, Kenneth Heafield, Kevin Heffernan, Elahe Kalbassi, Janice Lam, Daniel Licht, Jean Maillard, Anna Sun, Skyler Wang, Guillaume Wenzek, Al Youngblood, Bapi Akula, Loic Barrault, Gabriel Mejia Gonzalez, Prangthip Hansanti, John Hoffman, Semarley Jarrett, Kaushik Ram Sadagopan, Dirk Rowe, Shannon Spruit, Chau Tran, Pierre Andrews, Necip Fazil Ayan, Shruti Bhosale, Sergey Edunov, Angela Fan, Cynthia Gao, Vedanuj Goswami, Francisco Guzmán, Philipp Koehn, Alexandre Mourachko, Christophe Ropers, Safiyyah Saleem, Holger Schwenk, Jeff Wang
Driven by the goal of eradicating language barriers on a global scale, machine translation has solidified itself as a key focus of artificial intelligence research today.
Ranked #1 on Machine Translation on IWSLT2015 English-Vietnamese (SacreBLEU metric)
no code implementations • LREC 2020 • Yevhenii Prokopalo, Sylvain Meignier, Olivier Galibert, Loic Barrault, Anthony Larcher
Current intelligent systems need the expensive support of machine learning experts to sustain their performance level when used on a daily basis.
23 code implementations • EMNLP 2017 • Alexis Conneau, Douwe Kiela, Holger Schwenk, Loic Barrault, Antoine Bordes
Many modern NLP systems rely on word embeddings, previously trained in an unsupervised manner on large corpora, as base features.
Ranked #1 on Semantic Textual Similarity on SentEval
Cross-Lingual Natural Language Inference Semantic Textual Similarity +2
no code implementations • 11 Mar 2015 • Caglar Gulcehre, Orhan Firat, Kelvin Xu, Kyunghyun Cho, Loic Barrault, Huei-Chi Lin, Fethi Bougares, Holger Schwenk, Yoshua Bengio
Recent work on end-to-end neural network-based architectures for machine translation has shown promising results for En-Fr and En-De translation.
no code implementations • WS 2015 • Aram Ter-Sarkisov, Holger Schwenk, Loic Barrault, Fethi Bougares
We present efficient techniques to adapt a neural network language model to new data.