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OpenNMT: Open-source Toolkit for Neural Machine Translation

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arxiv 1709.03815 v1 pith:RQA7EXQS submitted 2017-09-12 cs.CL

Guillaume Klein , Yoon Kim , Yuntian Deng , Josep Crego , Jean Senellart , Alexander M. Rush This is my paper · ORCID
classification cs.CL
keywords machineneuralopen-sourcetoolkittranslationarchitecturescompetitivefeature
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We introduce an open-source toolkit for neural machine translation (NMT) to support research into model architectures, feature representations, and source modalities, while maintaining competitive performance, modularity and reasonable training requirements.

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  1. Seq-SG2SL: Inferring Semantic Layout from Scene Graph Through Sequence to Sequence Learning

    cs.CV 2019-08 conditional novelty 6.0 of 10

    A Transformer sequence-to-sequence model translates scene graphs into semantic layouts via new token codes, and a new metric SLEU measures layout similarity.

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