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ACL
2009
10 years 11 months ago
Modeling Morphologically Rich Languages Using Split Words and Unstructured Dependencies
We experiment with splitting words into their stem and suffix components for modeling morphologically rich languages. We show that using a morphological analyzer and disambiguator...
Deniz Yuret, Ergun Biçici
EMNLP
2010
10 years 11 months ago
A Hybrid Morpheme-Word Representation for Machine Translation of Morphologically Rich Languages
We propose a language-independent approach for improving statistical machine translation for morphologically rich languages using a hybrid morpheme-word representation where the b...
Minh-Thang Luong, Preslav Nakov, Min-Yen Kan
ACL
2007
11 years 2 months ago
Automatic Part-of-Speech Tagging for Bengali: An Approach for Morphologically Rich Languages in a Poor Resource Scenario
This paper describes our work on building Part-of-Speech (POS) tagger for Bengali. We have use Hidden Markov Model (HMM) and Maximum Entropy (ME) based stochastic taggers. Bengali...
Sandipan Dandapat, Sudeshna Sarkar, Anupam Basu
ACL
2011
10 years 4 months ago
A Discriminative Model for Joint Morphological Disambiguation and Dependency Parsing
Most previous studies of morphological disambiguation and dependency parsing have been pursued independently. Morphological taggers operate on n-grams and do not take into account...
John Lee, Jason Naradowsky, David A. Smith
ACL
2008
11 years 2 months ago
Arabic Language Modeling with Finite State Transducers
In morphologically rich languages such as Arabic, the abundance of word forms resulting from increased morpheme combinations is significantly greater than for languages with fewer...
Ilana Heintz
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