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Incorporating Structural Alignment Biases into an Attentional Neural Translation Model
Trevor Cohn
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Cong Duy Vu Hoang
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Ekaterina Vymolova
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Kaisheng Yao
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Chris Dyer
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Gholamreza Haffari
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Paper Details:
Month: June
Year: 2016
Location: San Diego, California
Venue:
NAACL |
Citations
URL
Interactive Attention for Neural Machine Translation
Fandong Meng
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Zhengdong Lu
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Hang Li
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Qun Liu
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Neural Machine Translation with Supervised Attention
Lemao Liu
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Masao Utiyama
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Andrew Finch
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Eiichiro Sumita
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Incorporating Syntactic Uncertainty in Neural Machine Translation with a Forest-to-Sequence Model
Poorya Zaremoodi
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Gholamreza Haffari
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Exploiting Source-side Monolingual Data in Neural Machine Translation
Jiajun Zhang
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Chengqing Zong
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Towards Decoding as Continuous Optimisation in Neural Machine Translation
Cong Duy Vu Hoang
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Gholamreza Haffari
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Trevor Cohn
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Memory-augmented Neural Machine Translation
Yang Feng
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Shiyue Zhang
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Andi Zhang
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Dong Wang
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Andrew Abel
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Towards Two-Dimensional Sequence to Sequence Model in Neural Machine Translation
Parnia Bahar
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Christopher Brix
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Hermann Ney
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Hard Non-Monotonic Attention for Character-Level Transduction
Shijie Wu
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Pamela Shapiro
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Ryan Cotterell
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Neural Automatic Post-Editing Using Prior Alignment and Reranking
Santanu Pal
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Sudip Kumar Naskar
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Mihaela Vela
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Qun Liu
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Josef van Genabith
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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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What does Attention in Neural Machine Translation Pay Attention to?
Hamidreza Ghader
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Christof Monz
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Improving Neural Machine Translation through Phrase-based Forced Decoding
Jingyi Zhang
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Masao Utiyama
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Eiichro Sumita
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Graham Neubig
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Satoshi Nakamura
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Exploiting Pre-Ordering for Neural Machine Translation
Yang Zhao
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Jiajun Zhang
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Chengqing Zong
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An Attentional Model for Speech Translation Without Transcription
Long Duong
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Antonios Anastasopoulos
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David Chiang
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Steven Bird
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Trevor Cohn
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Neural Machine Translation for Bilingually Scarce Scenarios: a Deep Multi-Task Learning Approach
Poorya Zaremoodi
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Gholamreza Haffari
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Language to Logical Form with Neural Attention
Li Dong
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Mirella Lapata
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Tree-to-Sequence Attentional Neural Machine Translation
Akiko Eriguchi
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Kazuma Hashimoto
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Yoshimasa Tsuruoka
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Prior Knowledge Integration for Neural Machine Translation using Posterior Regularization
Jiacheng Zhang
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Yang Liu
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Huanbo Luan
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Jingfang Xu
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Maosong Sun
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Incorporating Word Reordering Knowledge into Attention-based Neural Machine Translation
Jinchao Zhang
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Mingxuan Wang
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Qun Liu
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Jie Zhou
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Using Intermediate Representations to Solve Math Word Problems
Danqing Huang
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Jin-Ge Yao
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Chin-Yew Lin
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Qingyu Zhou
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Jian Yin
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Document Context Neural Machine Translation with Memory Networks
Sameen Maruf
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Gholamreza Haffari
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Attention Focusing for Neural Machine Translation by Bridging Source and Target Embeddings
Shaohui Kuang
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Junhui Li
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António Branco
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Weihua Luo
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Deyi Xiong
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Adaptive Knowledge Sharing in Multi-Task Learning: Improving Low-Resource Neural Machine Translation
Poorya Zaremoodi
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Wray Buntine
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Gholamreza Haffari
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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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Improving Neural Translation Models with Linguistic Factors
Cong Duy Vu Hoang
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Reza Haffari
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Trevor Cohn
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Alignment-Based Neural Machine Translation
Tamer Alkhouli
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Gabriel Bretschner
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Jan-Thorsten Peter
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Mohammed Hethnawi
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Andreas Guta
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Hermann Ney
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The JHU Machine Translation Systems for WMT 2016
Shuoyang Ding
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Kevin Duh
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Huda Khayrallah
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Philipp Koehn
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Matt Post
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Detecting Cross-Lingual Semantic Divergence for Neural Machine Translation
Marine Carpuat
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Yogarshi Vyas
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Xing Niu
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Biasing Attention-Based Recurrent Neural Networks Using External Alignment Information
Tamer Alkhouli
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Hermann Ney
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Iterative Back-Translation for Neural Machine Translation
Vu Cong Duy Hoang
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Philipp Koehn
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Gholamreza Haffari
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Trevor Cohn
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An Operation Sequence Model for Explainable Neural Machine Translation
Felix Stahlberg
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Danielle Saunders
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Bill Byrne
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Contextual Neural Model for Translating Bilingual Multi-Speaker Conversations
Sameen Maruf
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André F. T. Martins
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Gholamreza Haffari
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On The Alignment Problem In Multi-Head Attention-Based Neural Machine Translation
Tamer Alkhouli
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Gabriel Bretschner
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Hermann Ney
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https://github.com/clab/cnn/
Field Of Study
Linguistic Trends
Embeddings
Task
Machine Translation
Language
English
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