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A Character-level Decoder without Explicit Segmentation for Neural Machine Translation
Junyoung Chung
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Kyunghyun Cho
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Yoshua Bengio
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Paper Details:
Month: August
Year: 2016
Location: Berlin, Germany
Venue:
ACL |
Citations
URL
What Makes Word-level Neural Machine Translation Hard: A Case Study on English-German Translation
Fabian Hirschmann
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Jinseok Nam
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Johannes Fürnkranz
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HL-EncDec: A Hybrid-Level Encoder-Decoder for Neural Response Generation
Sixing Wu
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Dawei Zhang
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Ying Li
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Xing Xie
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Zhonghai Wu
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An Evaluation of Neural Machine Translation Models on Historical Spelling Normalization
Gongbo Tang
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Fabienne Cap
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Eva Pettersson
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Joakim Nivre
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Tailoring Neural Architectures for Translating from Morphologically Rich Languages
Peyman Passban
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Andy Way
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Qun Liu
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Zero-Resource Translation with Multi-Lingual Neural Machine Translation
Orhan Firat
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Baskaran Sankaran
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Yaser Al-onaizan
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Fatos T. Yarman Vural
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Kyunghyun Cho
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Incorporating Discrete Translation Lexicons into Neural Machine Translation
Philip Arthur
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Graham Neubig
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Satoshi Nakamura
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Massive Exploration of Neural Machine Translation Architectures
Denny Britz
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Anna Goldie
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Minh-Thang Luong
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Quoc Le
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Unfolding and Shrinking Neural Machine Translation Ensembles
Felix Stahlberg
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Bill Byrne
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What do character-level models learn about morphology? The case of dependency parsing
Clara Vania
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Andreas Grivas
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Adam Lopez
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CytonMT: an Efficient Neural Machine Translation Open-source Toolkit Implemented in C++
Xiaolin Wang
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Masao Utiyama
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Eiichiro Sumita
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Nonsymbolic Text Representation
Hinrich Schütze
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A Multifaceted Evaluation of Neural versus Phrase-Based Machine Translation for 9 Language Directions
Antonio Toral
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Víctor M. Sánchez-Cartagena
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Comparing Character-level Neural Language Models Using a Lexical Decision Task
Gaël Le Godais
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Tal Linzen
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Emmanuel Dupoux
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Neural Machine Translation by Minimising the Bayes-risk with Respect to Syntactic Translation Lattices
Felix Stahlberg
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Adrià de Gispert
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Eva Hasler
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Bill Byrne
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How Grammatical is Character-level Neural Machine Translation? Assessing MT Quality with Contrastive Translation Pairs
Rico Sennrich
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Neural Machine Translation with Recurrent Attention Modeling
Zichao Yang
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Zhiting Hu
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Yuntian Deng
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Chris Dyer
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Alex Smola
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Improving Character-Based Decoding Using Target-Side Morphological Information for Neural Machine Translation
Peyman Passban
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Qun Liu
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Andy Way
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Improving Lexical Choice in Neural Machine Translation
Toan Nguyen
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David Chiang
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Character-based Neural Machine Translation
Marta R. Costa-jussà
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José A. R. Fonollosa
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Fully Character-Level Neural Machine Translation without Explicit Segmentation
Jason Lee
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Kyunghyun Cho
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Thomas Hofmann
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Joint Prediction of Word Alignment with Alignment Types
Anahita Mansouri Bigvand
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Te Bu
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Anoop Sarkar
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Low-Rank RNN Adaptation for Context-Aware Language Modeling
Aaron Jaech
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Mari Ostendorf
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The Edit Distance Transducer in Action: The University of Cambridge English-German System at WMT16
Felix Stahlberg
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Eva Hasler
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Bill Byrne
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Character-Aware Neural Networks for Arabic Named Entity Recognition for Social Media
Mourad Gridach
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Character-based Decoding in Tree-to-Sequence Attention-based Neural Machine Translation
Akiko Eriguchi
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Kazuma Hashimoto
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Yoshimasa Tsuruoka
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Named Entity Recognition in Swedish Health Records with Character-Based Deep Bidirectional LSTMs
Simon Almgren
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Sean Pavlov
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Olof Mogren
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An Empirical Study of Adequate Vision Span for Attention-Based Neural Machine Translation
Raphael Shu
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Hideki Nakayama
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Learning variable length units for SMT between related languages via Byte Pair Encoding
Anoop Kunchukuttan
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Pushpak Bhattacharyya
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Supersense Tagging with a Combination of Character, Subword, and Word-level Representations
Youhyun Shin
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Sang-goo Lee
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Neural Paraphrase Identification of Questions with Noisy Pretraining
Gaurav Singh Tomar
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Thyago Duque
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Oscar Täckström
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Jakob Uszkoreit
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Dipanjan Das
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Meaningless yet meaningful: Morphology grounded subword-level NMT
Tamali Banerjee
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Pushpak Bhattacharyya
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How Robust Are Character-Based Word Embeddings in Tagging and MT Against Wrod Scramlbing or Randdm Nouse?
Georg Heigold
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Stalin Varanasi
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Günter Neumann
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Josef van Genabith
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Why not be Versatile? Applications of the SGNMT Decoder for Machine Translation
Felix Stahlberg
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Danielle Saunders
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Gonzalo Iglesias
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Bill Byrne
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Beyond Weight Tying: Learning Joint Input-Output Embeddings for Neural Machine Translation
Nikolaos Pappas
|
Lesly Miculicich
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James Henderson
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Massively Parallel Cross-Lingual Learning in Low-Resource Target Language Translation
Zhong Zhou
|
Matthias Sperber
|
Alexander Waibel
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Sequence-to-Sequence Models for Data-to-Text Natural Language Generation: Word- vs. Character-based Processing and Output Diversity
Glorianna Jagfeld
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Sabrina Jenne
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Ngoc Thang Vu
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No URLs Found
Field Of Study
Linguistic Trends
Embeddings
Syntax
Morphology
Task
Tagging
Named Entity Recognition
Machine Translation
Word Segmentation
Approach
Deep Learning
Language
Multilingual
Chinese
English
Dataset
News
Web Crawl
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