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Training Tree Transducers
Jonathan Graehl
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Kevin Knight
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Paper Details:
Month: May 2 - May 7
Year: 2004
Location: Boston, Massachusetts, USA
Venue:
HLT |
NAACL |
Citations
URL
Advanced Dynamic Programming in Semiring and Hypergraph Frameworks
Liang Huang
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Semantic Role Features for Machine Translation
Ding Liu
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Daniel Gildea
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Discriminative Induction of Sub-Tree Alignment using Limited Labeled Data
Jun Sun
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Min Zhang
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Chew Lim Tan
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Head-modifier Relation based Non-lexical Reordering Model for Phrase-Based Translation
Shui Liu
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Sheng Li
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Tiejun Zhao
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Min Zhang
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Pengyuan Liu
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A Dependency Edge-based Transfer Model for Statistical Machine Translation
Hongshen Chen
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Jun Xie
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Fandong Meng
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Wenbin Jiang
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Qun Liu
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Large Margin Synchronous Generation and its Application to Sentence Compression
Trevor Cohn
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Mirella Lapata
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Syntactic Re-Alignment Models for Machine Translation
Jonathan May
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Kevin Knight
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Binarizing Syntax Trees to Improve Syntax-Based Machine Translation Accuracy
Wei Wang
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Kevin Knight
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Daniel Marcu
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Generalizing Local and Non-Local Word-Reordering Patterns for Syntax-Based Machine Translation
Bing Zhao
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Yaser Al-onaizan
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Bayesian Learning of Phrasal Tree-to-String Templates
Ding Liu
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Daniel Gildea
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Translation with Source Constituency and Dependency Trees
Fandong Meng
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Jun Xie
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Linfeng Song
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Yajuan Lü
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Qun Liu
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Shift-Reduce Word Reordering for Machine Translation
Katsuhiko Hayashi
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Katsuhito Sudoh
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Hajime Tsukada
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Jun Suzuki
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Masaaki Nagata
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Translation Rules with Right-Hand Side Lattices
Fabien Cromières
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Sadao Kurohashi
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Latent-Variable Synchronous CFGs for Hierarchical Translation
Avneesh Saluja
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Chris Dyer
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Shay B. Cohen
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Reversibility reconsidered: finite-state factors for efficient probabilistic sampling in parsing and generation
Marc Dymetman
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Sriram Venkatapathy
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Chunyang Xiao
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Rule Extraction for Tree-to-Tree Transducers by Cost Minimization
Pascual Martínez-Gómez
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Yusuke Miyao
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Alto: Rapid Prototyping for Parsing and Translation
Johannes Gontrum
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Jonas Groschwitz
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Alexander Koller
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Christoph Teichmann
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Simple Syntactic and Morphological Processing Can Help English-Hindi Statistical Machine Translation
Ananthakrishnan Ramanathan
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Jayprasad Hegde
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Ritesh M. Shah
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Pushpak Bhattacharyya
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Sasikumar M.
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Training Tree Transducers
Jonathan Graehl
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Kevin Knight
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Jonathan May
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Re-structuring, Re-labeling, and Re-aligning for Syntax-Based Machine Translation
Wei Wang
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Jonathan May
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Kevin Knight
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Daniel Marcu
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Relabeling Syntax Trees to Improve Syntax-Based Machine Translation Quality
Bryant Huang
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Kevin Knight
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Approximate Factoring for A* Search
Aria Haghighi
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John DeNero
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Dan Klein
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Flexible Non-Terminals for Dependency Tree-to-Tree Reordering
John Richardson
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Fabien Cromières
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Toshiaki Nakazawa
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Sadao Kurohashi
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Generation from Abstract Meaning Representation using Tree Transducers
Jeffrey Flanigan
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Chris Dyer
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Noah A. Smith
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Jaime Carbonell
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Clause Restructuring for Statistical Machine Translation
Michael Collins
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Philipp Koehn
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Ivona Kučerová
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Machine Translation Using Probabilistic Synchronous Dependency Insertion Grammars
Yuan Ding
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Martha Palmer
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Tree-to-String Alignment Template for Statistical Machine Translation
Yang Liu
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Qun Liu
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Shouxun Lin
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Scalable Inference and Training of Context-Rich Syntactic Translation Models
Michel Galley
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Jonathan Graehl
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Kevin Knight
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Daniel Marcu
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Steve DeNeefe
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Wei Wang
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Ignacio Thayer
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Cohesive Phrase-Based Decoding for Statistical Machine Translation
Colin Cherry
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Regular Tree Grammars as a Formalism for Scope Underspecification
Alexander Koller
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Michaela Regneri
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Stefan Thater
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A Tree Sequence Alignment-based Tree-to-Tree Translation Model
Min Zhang
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Hongfei Jiang
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Aiti Aw
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Haizhou Li
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Chew Lim Tan
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Sheng Li
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A New String-to-Dependency Machine Translation Algorithm with a Target Dependency Language Model
Libin Shen
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Jinxi Xu
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Ralph Weischedel
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A Tree Transducer Model for Synchronous Tree-Adjoining Grammars
Andreas Maletti
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Incremental Syntactic Language Models for Phrase-based Translation
Lane Schwartz
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Chris Callison-Burch
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William Schuler
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Stephen Wu
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Hierarchical Chunk-to-String Translation
Yang Feng
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Dongdong Zhang
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Mu Li
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Qun Liu
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Travatar: A Forest-to-String Machine Translation Engine based on Tree Transducers
Graham Neubig
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On the Elements of an Accurate Tree-to-String Machine Translation System
Graham Neubig
|
Kevin Duh
|
A Continuous Space Rule Selection Model for Syntax-based Statistical Machine Translation
Jingyi Zhang
|
Masao Utiyama
|
Eiichro Sumita
|
Graham Neubig
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Satoshi Nakamura
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Efficient techniques for parsing with tree automata
Jonas Groschwitz
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Alexander Koller
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Mark Johnson
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A Discriminative Model for Tree-to-Tree Translation
Brooke Cowan
|
Ivona Kuc̆erová
|
Michael Collins
|
Phrase-Based SMT with Shallow Tree-Phrases
Philippe Langlais
|
Fabrizio Gotti
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A Syntax-Directed Translator with Extended Domain of Locality
Liang Huang
|
Kevin Knight
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Aravind Joshi
|
Chunk-Level Reordering of Source Language Sentences with Automatically Learned Rules for Statistical Machine Translation
Yuqi Zhang
|
Richard Zens
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Hermann Ney
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Using Dependency Order Templates to Improve Generality in Translation
Arul Menezes
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Chris Quirk
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Meta-Structure Transformation Model for Statistical Machine Translation
Jiadong Sun
|
Tiejun Zhao
|
Huashen Liang
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Divide and Translate: Improving Long Distance Reordering in Statistical Machine Translation
Katsuhito Sudoh
|
Kevin Duh
|
Hajime Tsukada
|
Tsutomu Hirao
|
Masaaki Nagata
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Parsing and Translation Algorithms Based on Weighted Extended Tree Transducers
Andreas Maletti
|
Giorgio Satta
|
Rule-based Syntactic Preprocessing for Syntax-based Machine Translation
Yuto Hatakoshi
|
Graham Neubig
|
Sakriani Sakti
|
Tomoki Toda
|
Satoshi Nakamura
|
Generating effective referring expressions using charts
Nikolaos Engonopoulos
|
Alexander Koller
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Extended Tree Transducers in Natural Language Processing
Andreas Maletti
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Neural Reranking Improves Subjective Quality of Machine Translation: NAIST at WAT2015
Graham Neubig
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Makoto Morishita
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Satoshi Nakamura
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Tree as a Pivot: Syntactic Matching Methods in Pivot Translation
Akiva Miura
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Graham Neubig
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Katsuhito Sudoh
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Satoshi Nakamura
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No URLs Found
Field Of Study
Task
Tagging
Language Generation
Summarization
Machine Translation
Approach
Generative Model
Language
English
Japanese
Arabic
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