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Towards Accurate and Efficient Chinese Part-of-Speech Tagging
Structural linguistics aggregation vocabulary Chinese language processing data clustering syntax parsing
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...
Monitoring mRNA Translation in Neuronal Processes Using Fluorescent Non-Canonical Amino Acid Tagging
neurons axon synapse local protein synthesis click assay microfluidic chambers FUNCAT
2016/5/3
A steady accumulation of experimental data argues that protein synthesis in neurons is not merely restricted to the somatic compartment, but also occurs in several discrete cellular micro-domains. Loc...
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
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 Accuracy in Word Class Tagging through the Combination of Machine Learning Systems
Word Class Tagging Machine Learning Systems
2015/8/26
We examine how differences in language models, learned by different data-driven systems performing the same NLP task, can be exploited to yield a higher accuracy than the best individual system. We do...
Dialogue Act Modeling for Automatic Tagging and Recognition of Conversational Speech
Dialogue Act Modeling Automatic Tagging Recognition of Conversational Speech
2015/8/25
We describe a statistical approach for modeling dialogue acts in conversational speech, i.e., speech-act-like units such as STATEMENT, Question, BACKCHANNEL, Agreement, Disagreement, and Apology. Our ...
Part-of-speech (POS) tagging is one of the most popular and thoroughly researched tasks in the field of natural language processing, particularly since it is a prerequisite for a wide variety of more ...
Improving the quality of Gujarati-Hindi Machine Translation through part-of-speech tagging and stemmer-assisted transliteration
part-of-speech stemming tagging transliteration
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
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
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...
Morphological features help POS tagging of unknown words across language varieties
Morphological features POS tagging unknown words across language varieties
2015/6/12
Part-of-speech tagging, like any supervised statistical NLP task, is more difficult when test sets are very different from training sets, for example when tagging across genres or language varieties. ...
Part-of-Speech Tagging from 97% to 100%:Is It Time for Some Linguistics?
Part-of-Speech Tagging 97% to 100% Some Linguistics?
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...
北京大学信息科学技术学院自然语言处理导论课件第五章 Categorizing and Tagging Words
北京大学信息科学技术学院 自然语言处理导论 课件 第五章 Categorizing and Tagging Words
2015/2/2
北京大学信息科学技术学院自然语言处理导论课件第五章 Categorizing and Tagging Words。
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
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
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
2014/11/26
Multilingual Part-of-Speech Tagging: Two Unsupervised Approaches。