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Document-Wide Decoding for Phrase-Based Statistical Machine Translation
Christian Hardmeier
|
Joakim Nivre
|
Jörg Tiedemann
|
Paper Details:
Month: July
Year: 2012
Location: Jeju Island, Korea
Venue:
CoNLL |
EMNLP |
Citations
URL
Lexical Chain Based Cohesion Models for Document-Level Statistical Machine Translation
Deyi Xiong
|
Yang Ding
|
Min Zhang
|
Chew Lim Tan
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Modeling Term Translation for Document-informed Machine Translation
Fandong Meng
|
Deyi Xiong
|
Wenbin Jiang
|
Qun Liu
|
Confidence-based Rewriting of Machine Translation Output
Benjamin Marie
|
Aurélien Max
|
Structured and Unstructured Cache Models for SMT Domain Adaptation
Annie Louis
|
Bonnie Webber
|
Docent: A Document-Level Decoder for Phrase-Based Statistical Machine Translation
Christian Hardmeier
|
Sara Stymne
|
Jörg Tiedemann
|
Joakim Nivre
|
Using Discourse Structure Improves Machine Translation Evaluation
Francisco Guzmán
|
Shafiq Joty
|
Lluís Màrquez
|
Preslav Nakov
|
Towards a discourse relation-aware approach for Chinese-English machine translation
Frances Yung
|
Tunable Distortion Limits and Corpus Cleaning for SMT
Sara Stymne
|
Christian Hardmeier
|
Jörg Tiedemann
|
Joakim Nivre
|
Machine Translation with Many Manually Labeled Discourse Connectives
Thomas Meyer
|
Lucie Poláková
|
Feature Weight Optimization for Discourse-Level SMT
Sara Stymne
|
Christian Hardmeier
|
Jörg Tiedemann
|
Joakim Nivre
|
Anaphora Models and Reordering for Phrase-Based SMT
Christian Hardmeier
|
Sara Stymne
|
Jörg Tiedemann
|
Aaron Smith
|
Joakim Nivre
|
Word’s Vector Representations meet Machine Translation
Eva Martínez Garcia
|
Jörg Tiedemann
|
Cristina España-Bonet
|
Lluís Màrquez
|
No URLs Found
Field Of Study
Linguistic Trends
Discourse
Task
Machine Translation
Language
English
Dataset
News
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