NLPExplorer

Achieving Open Vocabulary Neural Machine Translation with Hybrid Word-Character Models

Minh-Thang Luong | Christopher D. Manning |

Paper Details:

Month: August
Year: 2016
Location: Berlin, Germany
Venue: ACL |

Citations

URL

Natural Language Generation through Character-based RNNs with Finite-state Prior Knowledge
Raghav Goyal | Marc Dymetman | Eric Gaussier |

What Makes Word-level Neural Machine Translation Hard: A Case Study on English-German Translation
Fabian Hirschmann | Jinseok Nam | Johannes Fürnkranz |

Kyoto-NMT: a Neural Machine Translation implementation in Chainer
Fabien Cromières |

Improving Neural Machine Translation by Incorporating Hierarchical Subword Features
Makoto Morishita | Jun Suzuki | Masaaki Nagata |

Learning to Generate Word Representations using Subword Information
Yeachan Kim | Kang-Min Kim | Ji-Min Lee | SangKeun Lee |

Tailoring Neural Architectures for Translating from Morphologically Rich Languages
Peyman Passban | Andy Way | Qun Liu |

Incorporating Discrete Translation Lexicons into Neural Machine Translation
Philip Arthur | Graham Neubig | Satoshi Nakamura |

Massive Exploration of Neural Machine Translation Architectures
Denny Britz | Anna Goldie | Minh-Thang Luong | Quoc Le |

AirDialogue: An Environment for Goal-Oriented Dialogue Research
Wei Wei | Quoc Le | Andrew Dai | Jia Li |

Neural Machine Translation by Minimising the Bayes-risk with Respect to Syntactic Translation Lattices
Felix Stahlberg | Adrià de Gispert | Eva Hasler | Bill Byrne |

How Grammatical is Character-level Neural Machine Translation? Assessing MT Quality with Contrastive Translation Pairs
Rico Sennrich |

A Neural Language Model for Dynamically Representing the Meanings of Unknown Words and Entities in a Discourse
Sosuke Kobayashi | Naoaki Okazaki | Kentaro Inui |

Compression of Neural Machine Translation Models via Pruning
Abigail See | Minh-Thang Luong | Christopher D. Manning |

BPEmb: Tokenization-free Pre-trained Subword Embeddings in 275 Languages
Benjamin Heinzerling | Michael Strube |

Improving Character-Based Decoding Using Target-Side Morphological Information for Neural Machine Translation
Peyman Passban | Qun Liu | Andy Way |

Improving Lexical Choice in Neural Machine Translation
Toan Nguyen | David Chiang |

Universal Neural Machine Translation for Extremely Low Resource Languages
Jiatao Gu | Hany Hassan | Jacob Devlin | Victor O.K. Li |

attr2vec: Jointly Learning Word and Contextual Attribute Embeddings with Factorization Machines
Fabio Petroni | Vassilis Plachouras | Timothy Nugent | Jochen L. Leidner |

Learning Character-level Compositionality with Visual Features
Frederick Liu | Han Lu | Chieh Lo | Graham Neubig |

Numeracy for Language Models: Evaluating and Improving their Ability to Predict Numbers
Georgios Spithourakis | Sebastian Riedel |

Compositional Representation of Morphologically-Rich Input for Neural Machine Translation
Duygu Ataman | Marcello Federico |

Enriching Word Vectors with Subword Information
Piotr Bojanowski | Edouard Grave | Armand Joulin | Tomas Mikolov |

Fully Character-Level Neural Machine Translation without Explicit Segmentation
Jason Lee | Kyunghyun Cho | Thomas Hofmann |

The Edit Distance Transducer in Action: The University of Cambridge English-German System at WMT16
Felix Stahlberg | Eva Hasler | Bill Byrne |

Character-Aware Neural Networks for Arabic Named Entity Recognition for Social Media
Mourad Gridach |

Translation of Patent Sentences with a Large Vocabulary of Technical Terms Using Neural Machine Translation
Zi Long | Takehito Utsuro | Tomoharu Mitsuhashi | Mikio Yamamoto |

Domain Adaptation and Attention-Based Unknown Word Replacement in Chinese-to-Japanese Neural Machine Translation
Kazuma Hashimoto | Akiko Eriguchi | Yoshimasa Tsuruoka |

Character-based Decoding in Tree-to-Sequence Attention-based Neural Machine Translation
Akiko Eriguchi | Kazuma Hashimoto | Yoshimasa Tsuruoka |

Named Entity Recognition in Swedish Health Records with Character-Based Deep Bidirectional LSTMs
Simon Almgren | Sean Pavlov | Olof Mogren |

Extending hybrid word-character neural machine translation with multi-task learning of morphological analysis
Stig-Arne Grönroos | Sami Virpioja | Mikko Kurimo |

Neural Machine Translation with Extended Context
Jörg Tiedemann | Yves Scherrer |

CUNI NMT System for WAT 2017 Translation Tasks
Tom Kocmi | Dušan Variš | Ondřej Bojar |

Subword-level Composition Functions for Learning Word Embeddings
Bofang Li | Aleksandr Drozd | Tao Liu | Xiaoyong Du |

An Evaluation of Two Vocabulary Reduction Methods for Neural Machine Translation
Duygu Ataman | Marcello Federico |

Word-like character n-gram embedding
Geewook Kim | Kazuki Fukui | Hidetoshi Shimodaira |

Convolutions Are All You Need (For Classifying Character Sequences)
Zach Wood-Doughty | Nicholas Andrews | Mark Dredze |

TencentFmRD Neural Machine Translation for WMT18
Bojie Hu | Ambyer Han | Shen Huang |

https://github.com/rsennrich/subword-nmt

Field Of Study

Linguistic Trends

Embeddings Morphology

Task

Tagging Machine Translation

Language

English French

Dataset

News Chat

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