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Improved Statistical Machine Translation for Resource-Poor Languages Using Related Resource-Rich Languages
Preslav Nakov
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Hwee Tou Ng
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Paper Details:
Month: August
Year: 2009
Location: Singapore
Venue:
EMNLP |
SIG: SIGDAT
Citations
URL
A Deep Fusion Model for Domain Adaptation in Phrase-based MT
Nadir Durrani
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Hassan Sajjad
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Shafiq Joty
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Ahmed Abdelali
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A Hybrid Morpheme-Word Representation for Machine Translation of Morphologically Rich Languages
Minh-Thang Luong
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Preslav Nakov
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Min-Yen Kan
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Source Language Adaptation for Resource-Poor Machine Translation
Pidong Wang
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Preslav Nakov
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Hwee Tou Ng
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Cross-Lingual Language Modeling with Syntactic Reordering for Low-Resource Speech Recognition
Ping Xu
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Pascale Fung
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Monolingual Marginal Matching for Translation Model Adaptation
Ann Irvine
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Chris Quirk
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Hal Daumé III
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Predicting Dialect Variation in Immigrant Contexts Using Light Verb Constructions
A. Seza Doğruöz
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Preslav Nakov
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How to Avoid Unwanted Pregnancies: Domain Adaptation using Neural Network Models
Shafiq Joty
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Hassan Sajjad
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Nadir Durrani
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Kamla Al-Mannai
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Ahmed Abdelali
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Stephan Vogel
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Deciphering Related Languages
Nima Pourdamghani
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Kevin Knight
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Character-Based Pivot Translation for Under-Resourced Languages and Domains
Jörg Tiedemann
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Perplexity Minimization for Translation Model Domain Adaptation in Statistical Machine Translation
Rico Sennrich
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Transfer Learning across Low-Resource, Related Languages for Neural Machine Translation
Toan Q. Nguyen
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David Chiang
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Everybody loves a rich cousin: An empirical study of transliteration through bridge languages
Mitesh M. Khapra
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A Kumaran
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Pushpak Bhattacharyya
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Leveraging Small Multilingual Corpora for SMT Using Many Pivot Languages
Raj Dabre
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Fabien Cromieres
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Sadao Kurohashi
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Pushpak Bhattacharyya
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Bridge Correlational Neural Networks for Multilingual Multimodal Representation Learning
Janarthanan Rajendran
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Mitesh M. Khapra
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Sarath Chandar
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Balaraman Ravindran
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Translating from Morphologically Complex Languages: A Paraphrase-Based Approach
Preslav Nakov
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Hwee Tou Ng
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Combining Word-Level and Character-Level Models for Machine Translation Between Closely-Related Languages
Preslav Nakov
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Jörg Tiedemann
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Translating Dialectal Arabic to English
Hassan Sajjad
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Kareem Darwish
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Yonatan Belinkov
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Robust Tuning Datasets for Statistical Machine Translation
Preslav Nakov
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Stephan Vogel
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Unsupervised Word Segmentation Improves Dialectal Arabic to English Machine Translation
Kamla Al-Mannai
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Hassan Sajjad
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Alaa Khader
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Fahad Al Obaidli
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Preslav Nakov
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Stephan Vogel
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Semisupervied Data Driven Word Sense Disambiguation for Resource-poor Languages
Pratibha Rani
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Vikram Pudi
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Dipti M. Sharma
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Large-scale Dictionary Construction via Pivot-based Statistical Machine Translation with Significance Pruning and Neural Network Features
Raj Dabre
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Chenhui Chu
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Fabien Cromieres
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Toshiaki Nakazawa
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Sadao Kurohashi
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http://www.nist.gov/speech/tools/
http://www.sil.org/mexico/ling/glosario/E005ai-
Field Of Study
Task
Machine Translation
Paraphrasing
Language
English
Malay
Spanish
French
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