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Towards Accurate and Efficient Chinese Part-of-Speech Tagging
Structural linguistics aggregation vocabulary Chinese language processing data clustering syntax parsing
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2016/10/31
From the perspective of structural linguistics, we explore paradigmatic and syntagmatic lexical relations for Chinese POS tagging, an important and challenging task for Chinese language processing. Pa...
Syllable-Pattern-Based Unknown-Morpheme Segmentation and Estimation for Hybrid Part-of-Speech Tagging of Korean
Syllable-Pattern-Based Unknown-Morpheme Segmentation Hybrid Part-of-Speech Tagging of Korean
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2015/8/27
Most errors in Korean morphological analysis and part-of-speech (POS) tagging are caused by unknown morphemes. This paper presents a syllable-pattern-based generalized unknown-morpheme-estimation meth...
Improving the quality of Gujarati-Hindi Machine Translation through part-of-speech tagging and stemmer-assisted transliteration
part-of-speech stemming tagging transliteration
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2015/7/10
Machine Translation for Indian languages is an emerging research area. Transliteration is one such module that we design while designing a translation system. Transliteration means mapping of source l...
Part of Speech Tagging of Marathi Text Using Trigram Method
marathi modeling n-gram of part speech stochastic tagging
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2015/7/10
In this paper we present a Marathi part of speech tagger. It is a morphologically rich language. It is spoken by the native people of Maharashtra. The general approach used for development of tagger i...
Feature-Rich Part-of-Speech Tagging with a Cyclic Dependency Network
Part-of-Speech Tagging Cyclic Dependency Network
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2015/6/12
We present a new part-of-speech tagger that demonstrates the following ideas: (i) explicit use of both preceding and following tag contexts via a dependency network representation, (ii) broad use of l...
Part-of-Speech Tagging from 97% to 100%:Is It Time for Some Linguistics?
Part-of-Speech Tagging 97% to 100% Some Linguistics?
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2015/6/12
I examine what would be necessary to move part-of-speech tagging performance from its current level of about 97.3% token accuracy (56% sentence accuracy) to close to 100% accuracy. I suggest that it m...
Transformation—Based Error—Driv en Learning and Natural Language Processing:A Case Study in Part of Speech Tagging
Transformation—Based Error—Driven Learning Natural Language Processing Part of Speech Tagging
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2015/1/27
Recently there has been a rebirth of empiricism in the eld of natural language processing Manual encoding of linguistic information is being chal lenged by automated corpusbased learning as a method ...
Adding More Languages Improves Unsupervised Multilingual Part-of-Speech Tagging: A Bayesian Non-Parametric Approach
Languages Part-of-Speech Tagging
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2014/11/26
Adding More Languages Improves Unsupervised Multilingual
Part-of-Speech Tagging: A Bayesian Non-Parametric Approach。
Multilingual Part-of-Speech Tagging: Two Unsupervised Approaches
Unsupervised Approaches Part-of-Speech
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2014/11/26
Multilingual Part-of-Speech Tagging: Two Unsupervised Approaches。