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AMTA
2004
Springer
14 years 1 months ago
Normalizing German and English Inflectional Morphology to Improve Statistical Word Alignment
German has a richer system of inflectional morphology than English, which causes problems for current approaches to statistical word alignment. Using Giza++ as a reference implemen...
Simon Corston-Oliver, Michael Gamon
EMNLP
2009
13 years 5 months ago
Bayesian Learning of Phrasal Tree-to-String Templates
We examine the problem of overcoming noisy word-level alignments when learning tree-to-string translation rules. Our approach introduces new rules, and reestimates rule probabilit...
Ding Liu, Daniel Gildea
BMCBI
2006
156views more  BMCBI 2006»
13 years 7 months ago
Detecting the limits of regulatory element conservation and divergence estimation using pairwise and multiple alignments
Background: Molecular evolutionary studies of noncoding sequences rely on multiple alignments. Yet how multiple alignment accuracy varies across sequence types, tree topologies, d...
Daniel A. Pollard, Alan M. Moses, Venky N. Iyer, M...
COLING
2008
13 years 9 months ago
Improving Alignments for Better Confusion Networks for Combining Machine Translation Systems
The state-of-the-art system combination method for machine translation (MT) is the word-based combination using confusion networks. One of the crucial steps in confusion network d...
Necip Fazil Ayan, Jing Zheng, Wen Wang
COLING
2008
13 years 9 months ago
Linguistically-Based Sub-Sentential Alignment for Terminology Extraction from a Bilingual Automotive Corpus
We present a sub-sentential alignment system that links linguistically motivated phrases in parallel texts based on lexical correspondences and syntactic similarity. We compare th...
Lieve Macken, Els Lefever, Véronique Hoste