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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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Paper Details:
Year: 2017
Venue:
TACL |
Citations
URL
Improving Neural Machine Translation by Incorporating Hierarchical Subword Features
Makoto Morishita
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Jun Suzuki
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Masaaki Nagata
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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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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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Contextual Parameter Generation for Universal Neural Machine Translation
Emmanouil Antonios Platanios
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Mrinmaya Sachan
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Graham Neubig
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Tom Mitchell
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Revisiting Character-Based Neural Machine Translation with Capacity and Compression
Colin Cherry
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George Foster
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Ankur Bapna
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Orhan Firat
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Wolfgang Macherey
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Lessons Learned in Multilingual Grounded Language Learning
Ákos Kádár
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Desmond Elliott
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Marc-Alexandre Côté
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Grzegorz Chrupała
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Afra Alishahi
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Machine Translation of Low-Resource Spoken Dialects: Strategies for Normalizing Swiss German
Pierre-Edouard Honnet
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Andrei Popescu-Belis
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Claudiu Musat
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Michael Baeriswyl
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Universal Neural Machine Translation for Extremely Low Resource Languages
Jiatao Gu
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Hany Hassan
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Jacob Devlin
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Victor O.K. Li
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Combining Character and Word Information in Neural Machine Translation Using a Multi-Level Attention
Huadong Chen
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Shujian Huang
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David Chiang
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Xinyu Dai
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Jiajun Chen
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Cross-Domain Review Helpfulness Prediction Based on Convolutional Neural Networks with Auxiliary Domain Discriminators
Cen Chen
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Yinfei Yang
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Jun Zhou
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Xiaolong Li
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Forrest Sheng Bao
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A Nested Attention Neural Hybrid Model for Grammatical Error Correction
Jianshu Ji
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Qinlong Wang
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Kristina Toutanova
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Yongen Gong
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Steven Truong
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Jianfeng Gao
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Probabilistic FastText for Multi-Sense Word Embeddings
Ben Athiwaratkun
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Andrew Wilson
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Anima Anandkumar
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Character-Level Models versus Morphology in Semantic Role Labeling
Gözde Gül Şahin
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Mark Steedman
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Subword-level Word Vector Representations for Korean
Sungjoon Park
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Jeongmin Byun
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Sion Baek
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Yongseok Cho
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Alice Oh
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Compositional Representation of Morphologically-Rich Input for Neural Machine Translation
Duygu Ataman
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Marcello Federico
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Normalizing Medieval German Texts: from rules to deep learning
Natalia Korchagina
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Target-side Word Segmentation Strategies for Neural Machine Translation
Matthias Huck
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Simon Riess
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Alexander Fraser
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An Exploration of Word Embedding Initialization in Deep-Learning Tasks
Tom Kocmi
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Ondřej Bojar
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Morphological Word Embeddings for Arabic Neural Machine Translation in Low-Resource Settings
Pamela Shapiro
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Kevin Duh
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An Evaluation of Two Vocabulary Reduction Methods for Neural Machine Translation
Duygu Ataman
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Marcello Federico
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Neural Monkey: The Current State and Beyond
Jindřich Helcl
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Jindřich Libovický
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Tom Kocmi
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Tomáš Musil
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Ondřej Cífka
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Dušan Variš
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Ondřej Bojar
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Learning Distributional Token Representations from Visual Features
Samuel Broscheit
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A Neural Approach to Language Variety Translation
Marta R. Costa-jussà
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Marcos Zampieri
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Santanu Pal
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‘Indicatements’ that character language models learn English morpho-syntactic units and regularities
Yova Kementchedjhieva
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Adam Lopez
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Character-level Chinese-English Translation through ASCII Encoding
Nikola Nikolov
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Yuhuang Hu
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Mi Xue Tan
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Richard H.R. Hahnloser
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Beyond Weight Tying: Learning Joint Input-Output Embeddings for Neural Machine Translation
Nikolaos Pappas
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Lesly Miculicich
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James Henderson
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JUCBNMT at WMT2018 News Translation Task: Character Based Neural Machine Translation of Finnish to English
Sainik Kumar Mahata
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Dipankar Das
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Sivaji Bandyopadhyay
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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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http://www.statmt.org/wmt15/translation
https://github.com/moses-smt/mosesdecod
https://sites.google.com/site/dl4mtc2c
https://github.com/nyu-dl
Field Of Study
Linguistic Trends
Embeddings
Morphology
Task
Language Identification
Machine Translation
Language
Multilingual
English
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