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» Improving Statistical Word Alignment with Ensemble Methods
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COLING
2008
13 years 9 months ago
Bayesian Semi-Supervised Chinese Word Segmentation for Statistical Machine Translation
Words in Chinese text are not naturally separated by delimiters, which poses a challenge to standard machine translation (MT) systems. In MT, the widely used approach is to apply ...
Jia Xu, Jianfeng Gao, Kristina Toutanova, Hermann ...
EMNLP
2008
13 years 9 months ago
Seed and Grow: Augmenting Statistically Generated Summary Sentences using Schematic Word Patterns
We examine the problem of content selection in statistical novel sentence generation. Our approach models the processes performed by professional editors when incorporating materi...
Stephen Wan, Robert Dale, Mark Dras, Cécile...
BMCBI
2006
141views more  BMCBI 2006»
13 years 7 months ago
Asymptotic behaviour and optimal word size for exact and approximate word matches between random sequences
Background: The number of k-words shared between two sequences is a simple and effcient alignment-free sequence comparison method. This statistic, D2, has been used for the cluste...
Sylvain Forêt, Miriam R. Kantorovitz, Conrad...
ACL
2007
13 years 9 months ago
Ordering Phrases with Function Words
This paper presents a Function Word centered, Syntax-based (FWS) solution to address phrase ordering in the context of statistical machine translation (SMT). Motivated by the obse...
Hendra Setiawan, Min-Yen Kan, Haizhou Li
ACL
2006
13 years 9 months ago
Distortion Models for Statistical Machine Translation
In this paper, we argue that n-gram language models are not sufficient to address word reordering required for Machine Translation. We propose a new distortion model that can be u...
Yaser Al-Onaizan, Kishore Papineni