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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...
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...
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. ...
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 ...
Automatic Adaptation of Annotation Standards: Chinese Word Segmentation and POS Tagging – A Case Study
Automatic Adaptation of Annotation Standards Chinese Word Segmentation POS Tagging A Case Study
2013/4/22
Manually annotated corpora are valuable but scarce resources, yet for many anno-tation tasks such as treebanking and se-quence labeling there exist multiple cor-pora withdifferentandincompatible anno-...
A General Output Model of Hidden Markov Models and Its Applications to Chinese Segmentation and Tagging
General Output Model Chinese Segmentation Hidden Markov Models Tagging
2009/2/6
When investigating the applicability and effectiveness of HMMs in Chinese segmentation and tagging, we propose a general framework for related extensions to HMMs, which accounts for contextual informa...