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FINTAL
2006
13 years 8 months ago
Improving Statistical Word Alignments with Morpho-syntactic Transformations
Abstract. This paper presents a wide range of statistical word alignment experiments incorporating morphosyntactic information. By means of parallel corpus transformations accordin...
Adrià de Gispert, Deepa Gupta, Maja Popovic...
FLAIRS
2007
13 years 7 months ago
Combining Machine Learning with Linguistic Heuristics for Chinese Word Segmentation
This paper describes a hybrid model that combines machine learning with linguistic heuristics for integrating unknown word identification with Chinese word segmentation. The model...
Xiaofei Lu
LREC
2010
152views Education» more  LREC 2010»
13 years 6 months ago
Heuristic Word Alignment with Parallel Phrases
This paper presents a method for word alignment that uses parallel phrases from manually word aligned sentence pairs to align words in new texts. Experiments on an English
Maria Holmqvist
ACL
2012
11 years 7 months ago
Improving the IBM Alignment Models Using Variational Bayes
Bayesian approaches have been shown to reduce the amount of overfitting that occurs when running the EM algorithm, by placing prior probabilities on the model parameters. We appl...
Darcey Riley, Daniel Gildea