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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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Paper Details:
Month: October
Year: 2010
Location: Cambridge, MA
Venue:
EMNLP |
SIG: SIGDAT
Citations
URL
Character-Based Pivot Translation for Under-Resourced Languages and Domains
Jörg Tiedemann
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Modeling Inflection and Word-Formation in SMT
Alexander Fraser
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Marion Weller
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Aoife Cahill
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Fabienne Cap
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Understanding and Improving Morphological Learning in the Neural Machine Translation Decoder
Fahim Dalvi
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Nadir Durrani
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Hassan Sajjad
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Yonatan Belinkov
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Stephan Vogel
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Integrating Morphological Desegmentation into Phrase-based Decoding
Mohammad Salameh
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Colin Cherry
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Grzegorz Kondrak
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Unsupervised Morphology Rivals Supervised Morphology for Arabic MT
David Stallard
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Jacob Devlin
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Michael Kayser
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Yoong Keok Lee
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Regina Barzilay
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Stem Translation with Affix-Based Rule Selection for Agglutinative Languages
Zhiyang Wang
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Yajuan Lü
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Meng Sun
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Qun Liu
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Lattice Desegmentation for Statistical Machine Translation
Mohammad Salameh
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Colin Cherry
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Grzegorz Kondrak
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On Using Very Large Target Vocabulary for Neural Machine Translation
Sébastien Jean
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Kyunghyun Cho
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Roland Memisevic
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Yoshua Bengio
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What do Neural Machine Translation Models Learn about Morphology?
Yonatan Belinkov
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Nadir Durrani
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Fahim Dalvi
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Hassan Sajjad
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James Glass
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English to Hungarian Morpheme-based Statistical Machine Translation System with Reordering Rules
László Laki
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Attila Novák
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Borbála Siklósi
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What Matters Most in Morphologically Segmented SMT Models?
Mohammad Salameh
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Colin Cherry
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Grzegorz Kondrak
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Sheffield Systems for the Finnish-English WMT Translation Task
David Steele
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Karin Sim Smith
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Lucia Specia
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Hybrid Morphological Segmentation for Phrase-Based Machine Translation
Stig-Arne Grönroos
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Sami Virpioja
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Mikko Kurimo
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No URLs Found
Field Of Study
Linguistic Trends
Morphology
Task
Morphological Analysis
Machine Translation
Language
English
Arabic
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