515 citations · 1.2k across the 20 of their papers we have counts for
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Neural Machine Translation by Generating Multiple Linguistic Factors
Mercedes García-Martínez, Loïc Barrault, Fethi Bougares
Factored neural machine translation (FNMT) is founded on the idea of using the morphological and grammatical decomposition of the words (factors) at the output side of the neural n…
Findings of the Second Shared Task on Multimodal Machine Translation and Multilingual Image Description
Desmond Elliott, Stella Frank, Loïc Barrault +2
We present the results from the second shared task on multimodal machine translation and multilingual image description. Nine teams submitted 19 systems to two tasks. The multimoda…
LIUM Machine Translation Systems for WMT17 News Translation Task
Mercedes García-Martínez, Ozan Caglayan, Walid Aransa +3
This paper describes LIUM submissions to WMT17 News Translation Task for English-German, English-Turkish, English-Czech and English-Latvian language pairs. We train BPE-based atten…
LIUM-CVC Submissions for WMT17 Multimodal Translation Task
Ozan Caglayan, Walid Aransa, Adrien Bardet +6
This paper describes the monomodal and multimodal Neural Machine Translation systems developed by LIUM and CVC for WMT17 Shared Task on Multimodal Translation. We mainly explored t…
NMTPY: A Flexible Toolkit for Advanced Neural Machine Translation Systems
Ozan Caglayan, Mercedes García-Martínez, Adrien Bardet +3
In this paper, we present nmtpy, a flexible Python toolkit based on Theano for training Neural Machine Translation and other neural sequence-to-sequence architectures. nmtpy decoup…
Supervised Learning of Universal Sentence Representations from Natural Language Inference Data
Alexis Conneau, Douwe Kiela, Holger Schwenk +2
Many modern NLP systems rely on word embeddings, previously trained in an unsupervised manner on large corpora, as base features. Efforts to obtain embeddings for larger chunks of…