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Towards Effective Use of Training Data in Statistical Machine Translation
Philipp Koehn
|
Barry Haddow
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Paper Details:
Month: June
Year: 2012
Location: Montréal, Canada
Venue:
WMT |
WS |
SIG: SIGMT
Citations
URL
Fast Domain Adaptation of SMT models without in-Domain Parallel Data
Prashant Mathur
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Sriram Venkatapathy
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Nicola Cancedda
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Latent Domain Translation Models in Mix-of-Domains Haystack
Hoang Cuong
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Khalil Sima’an
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Grouping Language Model Boundary Words to Speed K–Best Extraction from Hypergraphs
Kenneth Heafield
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Philipp Koehn
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Alon Lavie
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Can Markov Models Over Minimal Translation Units Help Phrase-Based SMT?
Nadir Durrani
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Alexander Fraser
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Helmut Schmid
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Hieu Hoang
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Philipp Koehn
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Adaptation Data Selection using Neural Language Models: Experiments in Machine Translation
Kevin Duh
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Graham Neubig
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Katsuhito Sudoh
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Hajime Tsukada
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Effective Selection of Translation Model Training Data
Le Liu
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Yu Hong
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Hao Liu
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Xing Wang
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Jianmin Yao
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Refinements to Interactive Translation Prediction Based on Search Graphs
Philipp Koehn
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Chara Tsoukala
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Herve Saint-Amand
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Sampling Informative Training Data for RNN Language Models
Jared Fernandez
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Doug Downey
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Adapting to All Domains at Once: Rewarding Domain Invariance in SMT
Hoang Cuong
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Khalil Sima’an
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Ivan Titov
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Findings of the 2012 Workshop on Statistical Machine Translation
Chris Callison-Burch
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Philipp Koehn
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Christof Monz
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Matt Post
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Radu Soricut
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Lucia Specia
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Feature Decay Algorithms for Fast Deployment of Accurate Statistical Machine Translation Systems
Ergun Biçici
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Chimera – Three Heads for English-to-Czech Translation
Ondřej Bojar
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Rudolf Rosa
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Aleš Tamchyna
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Edinburgh’s Machine Translation Systems for European Language Pairs
Nadir Durrani
|
Barry Haddow
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Kenneth Heafield
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Philipp Koehn
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Munich-Edinburgh-Stuttgart Submissions of OSM Systems at WMT13
Nadir Durrani
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Alexander Fraser
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Helmut Schmid
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Hassan Sajjad
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Richárd Farkas
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QCRI-MES Submission at WMT13: Using Transliteration Mining to Improve Statistical Machine Translation
Hassan Sajjad
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Svetlana Smekalova
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Nadir Durrani
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Alexander Fraser
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Helmut Schmid
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Feature Weight Optimization for Discourse-Level SMT
Sara Stymne
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Christian Hardmeier
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Jörg Tiedemann
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Joakim Nivre
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The AMU System in the CoNLL-2014 Shared Task: Grammatical Error Correction by Data-Intensive and Feature-Rich Statistical Machine Translation
Marcin Junczys-Dowmunt
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Roman Grundkiewicz
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Unsupervised Adaptation for Statistical Machine Translation
Saab Mansour
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Hermann Ney
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LIMSI@WMT’15 : Translation Task
Benjamin Marie
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Alexandre Allauzen
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Franck Burlot
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Quoc-Khanh Do
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Julia Ive
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Elena Knyazeva
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Matthieu Labeau
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Thomas Lavergne
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Kevin Löser
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Nicolas Pécheux
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François Yvon
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No URLs Found
Field Of Study
Approach
Semi-supervised Learning
Language
Chinese
English
Spanish
French
Dataset
News
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