Results 131 to 140 of about 645,699 (249)

A Hybrid Neural-CRF Framework for Assamese Part-of-Speech Tagging

open access: yesIEEE Access
Natural Language Processing (NLP) involves computational techniques for analyzing and understanding human languages. Part-of-Speech (POS) tagging, a fundamental NLP task, assigns grammatical categories to words in text.
Rituraj Phukan   +4 more
doaj   +1 more source

Comparison of Stochastic and Rule-Based POS Tagging on Malay Online Text

open access: yes, 2017
Extensive development of web 2.0 has led to production of gigantic amount of user generated data. These data consist of many useful information. Manual analyzing these data and classifying sentiment in them, is an exhausting task, thus opinion mining ...
K. Anbananthen   +3 more
semanticscholar   +1 more source

INVESTIGATING INTENSIFIER EFFECTS IN LOW-RESOURCE LANGUAGES USING CONVENTIONAL AND DEEP LEARNING MODELS [PDF]

open access: yesICTACT Journal on Soft Computing
In this study, two machine learning models, Long Short Term Memory (LSTM) and BERT are used to predict intensifiers in Malayalam sentences. Both models were trained to detect intensifiers using part-of-speech (POS) tags, and BERT regularly outperformed ...
R. Anitha, K.S. Anil Kumar, R.R. Rajeev
doaj   +1 more source

A Semi-Automatic Approach to Developing a Large-Scale POS Tagged News Corpus for Urdu, a Low-Resource Language

open access: yesSAGE Open
The development of a large-scale, Part-of-Speech (POS) tagged corpus for Urdu, a morphologically rich and low-resource language, remains a significant challenge due to the scarcity of annotated linguistic data.
Mushtaq Ali   +4 more
doaj   +1 more source

Blackboard Agents for Standard Arabic Language Tokenization and Parsing

open access: yesJournal of Engineering and Sustainable Development, 2010
The Processing of the Arabic language is a difficult mission comparing it with other languages. Because Sentences in Arabic language are complex, longer than the others in various languages, and have difficult structure with lattices.
Abdul Kareem Murhij Radhi
doaj  

Developing a tagset for automated part-of-speech tagging in Urdu. [PDF]

open access: yes, 2003
While part-of-speech tagging is an established technology for Western European languages such as English or Spanish, extending the technique to Urdu presents a range of interesting issues.
Hardie, A
core  

From Word Segmentation to POS Tagging for Vietnamese

open access: yesCoRR, 2017
To appear in Proceedings of the 15th Annual Workshop of the Australasian Language Technology Association, ALTA ...
Dat Quoc Nguyen   +4 more
openaire   +3 more sources

Part-of-Speech (POS) Tagging Bahasa Indonesia Menggunakan Algoritma Viterbi [PDF]

open access: yes
Part-of-Speech (POS) tagging, yang juga disebut sebagai pelabelan kelas kata, adalah suatu proses yang memberikan label kelas kata secara otomatis pada suatu kalimat.
Sabloak, Nitin   +2 more
core  

Generalized unknown morpheme guessing for hybrid POS tagging of Korean [PDF]

open access: yes, 1998
Most of errors in Korean morphological analysis and POS (Part-of-Speech) tagging are caused by unknown morphemes. This paper presents a generalized unknown morpheme handling method with POSTAG (POStech TAGger) which is a statistical/rule based hybrid POS
Jong-hyeok Lee   +2 more
core  

Tibetan POS Tagging Based on Syllable Tagging [PDF]

open access: yes, 2015
该文选取了藏语文中小学教材的部分语料,构建了带有藏语字性标记、词边界标记和词性标记的语料库,通过比较不同的分词、标注方法,证明分词、词性标注一体 化效果比分步进行的效果好,准确率、召回率和F值分别提高了0.067、0.073和0.07。但词级标注模型难以解决词边界划分的一致性和未登录词的问 题。基于此,作者提出可以利用字性和字构词的规律预测合成词的词性,既可以融入语言学知识又可以减少由未登录词导致的标注错误,实验结果证明,作为词性标 注的后处理模块,基于字性标注的词性预测准确率提高到了0.916 ...
龙从军, 诺明花, 刘汇丹, 吴健
core  

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