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» Chinese Word POS Tagging with Markov Logic
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LREC
2008
85views Education» more  LREC 2008»
13 years 7 months ago
POS Tagging for German: how important is the Right Context?
Part-of-Speech tagging is generally performed by Markov models, based on bigram or trigram models. While Markov models have a strong concentration on the left context of a word, m...
Steliana Ivanova, Sandra Kuebler
LREC
2010
148views Education» more  LREC 2010»
13 years 7 months ago
POS Multi-tagging Based on Combined Models
In the POS tagging task, there are two kinds of statistical models: one is generative model, such as the HMM, the others are discriminative models, such as the Maximum Entropy Mod...
Yan Zhao, Gertjan van Noord
NLE
2008
118views more  NLE 2008»
13 years 6 months ago
Part-of-speech tagging of Modern Hebrew text
Words in Semitic texts often consist of a concatenation of word segments, each corresponding to a Part-of-Speech (POS) category. Semitic words may be ambiguous with regard to thei...
Roy Bar-Haim, Khalil Sima'an, Yoad Winter
NAACL
2003
13 years 7 months ago
A Context-Sensitive Homograph Disambiguation in Thai Text-to-Speech Synthesis
Homograph ambiguity is an original issue in Text-to-Speech (TTS). To disambiguate homograph, several efficient approaches have been proposed such as part-of-speech (POS) n-gram, B...
Virongrong Tesprasit, Paisarn Charoenpornsawat, Vi...
ACL
2006
13 years 7 months ago
Morphological Richness Offsets Resource Demand - Experiences in Constructing a POS Tagger for Hindi
In this paper we report our work on building a POS tagger for a morphologically rich language- Hindi. The theme of the research is to vindicate the stand that- if morphology is st...
Smriti Singh, Kuhoo Gupta, Manish Shrivastava, Pus...