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ICGI
2004
Springer
14 years 26 days ago
Learning Finite-State Models for Machine Translation
Enrique Vidal, Francisco Casacuberta
COLING
2010
13 years 2 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
13 years 9 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
13 years 9 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
13 years 9 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