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ICGI
2004
Springer
15 years 3 months ago
Learning Finite-State Models for Machine Translation
Enrique Vidal, Francisco Casacuberta
69
Voted
COLING
2010
14 years 4 months ago
Dependency Forest for Statistical Machine Translation
We propose a structure called dependency forest for statistical machine translation. A dependency forest compactly represents multiple dependency trees. We develop new algorithms ...
Zhaopeng Tu, Yang Liu, Young-Sook Hwang, Qun Liu, ...
ACL
2001
14 years 11 months ago
Towards a Unified Approach to Memory- and Statistical-Based Machine Translation
We present a set of algorithms that enable us to translate natural language sentences by exploiting both a translation memory and a statistical-based translation model. Our result...
Daniel Marcu
ACL
2004
14 years 11 months ago
Multi-Engine Machine Translation with Voted Language Model
The paper describes a particular approach to multiengine machine translation (MEMT), where we make use of voted language models to selectively combine translation outputs from mul...
Tadashi Nomoto
EACL
2006
ACL Anthology
14 years 11 months ago
Phrase-Based Backoff Models for Machine Translation of Highly Inflected Languages
We propose a backoff model for phrasebased machine translation that translates unseen word forms in foreign-language text by hierarchical morphological abstractions at the word an...
Mei Yang, Katrin Kirchhoff