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ACL
2011
12 years 9 months ago
Combining Morpheme-based Machine Translation with Post-processing Morpheme Prediction
This paper extends the training and tuning regime for phrase-based statistical machine translation to obtain fluent translations into morphologically complex languages (we build ...
Ann Clifton, Anoop Sarkar
LREC
2008
111views Education» more  LREC 2008»
13 years 6 months ago
Low-Density Language Bootstrapping: the Case of Tajiki Persian
Low-density languages raise difficulties for standard approaches to natural language processing that depend on large online corpora. Using Persian as a case study, we propose a no...
Karine Megerdoomian, Dan Parvaz
COLING
2010
13 years 7 days ago
Morphological Analysis Can Improve a CCG Parser for English
Because English is a low morphology language, current statistical parsers tend to ignore morphology and accept some level of redundancy. This paper investigates how costly such re...
Matthew Honnibal, Jonathan K. Kummerfeld, James R....
ACL
2010
13 years 3 months ago
Diversify and Combine: Improving Word Alignment for Machine Translation on Low-Resource Languages
We present a novel method to improve word alignment quality and eventually the translation performance by producing and combining complementary word alignments for low-resource la...
Bing Xiang, Yonggang Deng, Bowen Zhou
CORR
2002
Springer
95views Education» more  CORR 2002»
13 years 5 months ago
Unsupervised Learning of Morphology without Morphemes
The first morphological learner based upon the theory of Whole Word Morphology (Ford et al., 1997) is outlined, and preliminary evaluation results are presented. The program, Whol...
Sylvain Neuvel, Sean A. Fulop