Findings of the Second Workshop on Neural Machine Translation and Generation

This document describes the findings of the Second Workshop on Neural Machine Translation and Generation, held in concert with the annual conference of the Association for Computational Linguistics (ACL 2018). First, we summarize the research trends of papers presented in the proceedings, and note that there is particular interest in linguistic structure, domain adaptation, data augmentation, handling inadequate resources, and analysis of models. Second, we describe the results of the workshop's shared task on efficient neural machine translation, where participants were tasked with creating MT systems that are both accurate and efficient.

[1]  Huda Khayrallah,et al.  Regularized Training Objective for Continued Training for Domain Adaptation in Neural Machine Translation , 2018, NMT@ACL.

[2]  Marcin Junczys-Dowmunt,et al.  Marian: Cost-effective High-Quality Neural Machine Translation in C++ , 2018, NMT@ACL.

[3]  Yonatan Bisk,et al.  Inducing Grammars with and for Neural Machine Translation , 2018, NMT@ACL.

[4]  Phil Blunsom,et al.  Recurrent Continuous Translation Models , 2013, EMNLP.

[5]  Jason Weston,et al.  A Neural Attention Model for Abstractive Sentence Summarization , 2015, EMNLP.

[6]  Steve Renals,et al.  Multiplicative LSTM for sequence modelling , 2016, ICLR.

[7]  Diego Marcheggiani,et al.  Exploiting Semantics in Neural Machine Translation with Graph Convolutional Networks , 2018, NAACL.

[8]  Lukasz Kaiser,et al.  Attention is All you Need , 2017, NIPS.

[9]  Philipp Koehn,et al.  Document-Level Adaptation for Neural Machine Translation , 2018, NMT@ACL.

[10]  Yoshua Bengio,et al.  Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation , 2014, EMNLP.

[11]  Bo Wang,et al.  OpenNMT System Description for WNMT 2018: 800 words/sec on a single-core CPU , 2018, NMT@ACL.

[12]  Satoshi Nakamura,et al.  Multi-Source Neural Machine Translation with Missing Data , 2018, NMT@ACL.

[13]  Deyi Xiong,et al.  Accelerating Neural Transformer via an Average Attention Network , 2018, ACL.

[14]  Eiichiro Sumita,et al.  NICT Self-Training Approach to Neural Machine Translation at NMT-2018 , 2018, NMT@ACL.

[15]  Kenneth Heafield,et al.  Fast Neural Machine Translation Implementation , 2018, NMT@ACL.

[16]  George R. Doddington,et al.  Automatic Evaluation of Machine Translation Quality Using N-gram Co-Occurrence Statistics , 2002 .

[17]  Yoshua Bengio,et al.  Neural Machine Translation by Jointly Learning to Align and Translate , 2014, ICLR.

[18]  David Vandyke,et al.  Semantically Conditioned LSTM-based Natural Language Generation for Spoken Dialogue Systems , 2015, EMNLP.

[19]  Jan Niehues,et al.  Towards one-shot learning for rare-word translation with external experts , 2018, NMT@ACL.

[20]  Marine Carpuat,et al.  Bi-Directional Neural Machine Translation with Synthetic Parallel Data , 2018, NMT@ACL.

[21]  Angela Fan,et al.  Controllable Abstractive Summarization , 2017, NMT@ACL.

[22]  Eiichiro Sumita,et al.  Overview of the 1st Workshop on Asian Translation , 2014, WAT.

[23]  Massimo Piccardi,et al.  A Shared Attention Mechanism for Interpretation of Neural Automatic Post-Editing Systems , 2018, NMT@ACL.

[24]  Philipp Koehn,et al.  Findings of the 2017 Conference on Machine Translation (WMT17) , 2017, WMT.

[25]  Atsushi Fujita,et al.  Enhancement of Encoder and Attention Using Target Monolingual Corpora in Neural Machine Translation , 2018, NMT@ACL.

[26]  Philipp Koehn,et al.  Findings of the 2014 Workshop on Statistical Machine Translation , 2014, WMT@ACL.

[27]  Huda Khayrallah,et al.  On the Impact of Various Types of Noise on Neural Machine Translation , 2018, NMT@ACL.

[28]  Salim Roukos,et al.  Bleu: a Method for Automatic Evaluation of Machine Translation , 2002, ACL.

[29]  Khalil Sima'an,et al.  Modeling Latent Sentence Structure in Neural Machine Translation , 2019, ArXiv.

[30]  Quoc V. Le,et al.  A Neural Conversational Model , 2015, ArXiv.

[31]  Graham Neubig,et al.  Extreme Adaptation for Personalized Neural Machine Translation , 2018, ACL.

[32]  Xing Shi,et al.  Speeding Up Neural Machine Translation Decoding by Shrinking Run-time Vocabulary , 2017, ACL.

[33]  Graham Neubig,et al.  Overview of the 5th Workshop on Asian Translation , 2019, PACLIC.

[34]  Quoc V. Le,et al.  Sequence to Sequence Learning with Neural Networks , 2014, NIPS.