Results 51 to 60 of about 645,699 (249)
International Journal of Electrical and Computer Engineering (IJECE), 2020 In Natural Language Processing (NLP), Word segmentation and Part-of-Speech (POS) tagging are fundamental tasks. The POS information is also necessary in NLP’s preprocessing work applications such as machine translation (MT), information retrieval (IR ...
Dim Lam Cing, K. Soe
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Implementation of Kadazan Tagger Based on Brill's Method
Journal of ICT Research and Applications, 2014 We present and evaluate the implementation of Part of Speech (POS) Tagging for the Kadazan language by using the Transformation-based approach. The main purpose of this study is to develop an automatic POS tagging for the Kadazan language, which had ...
Marylyn Alex, Lailatul Qadri Zakaria
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Cross-Lingual Transfer Learning for POS Tagging without Cross-Lingual Resources
Conference on Empirical Methods in Natural Language Processing, 2017 Training a POS tagging model with crosslingual transfer learning usually requires linguistic knowledge and resources about the relation between the source language and the target language.
Joo-Kyung Kim +3 more
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Incorporating POS tagging into language modeling
5th European Conference on Speech Communication and Technology (Eurospeech 1997), 1997 5 pages, 2 postscript ...
Peter A. Heeman, James F. Allen
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A Comparative Study of Arabic Part of Speech Taggers Using Literary Text Samples from Saudi Novels
Information, 2021 Part of Speech (POS) tagging is one of the most common techniques used in natural language processing (NLP) applications and corpus linguistics. Various POS tagging tools have been developed for Arabic. These taggers differ in several aspects, such as in
Reyadh Alluhaibi +3 more
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Deep Learning based Tamil Parts of Speech (POS) Tagger [PDF]
Bulletin of the Polish Academy of Sciences: Technical Sciences, 2021 This paper addresses the problem of part of speech (POS) tagging for the Tamil language, which is low resourced and agglutinative. POS tagging is the process of assigning syntactic categories for the words in a sentence.
S. Anbukkarasi, S. Varadhaganapathy
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A Novel Neural Network Model for Joint POS Tagging and Graph-based Dependency Parsing [PDF]
Conference on Computational Natural Language Learning, 2017 We present a novel neural network model that learns POS tagging and graph-based dependency parsing jointly. Our model uses bidirectional LSTMs to learn feature representations shared for both POS tagging and dependency parsing tasks, thus handling the ...
Dat Quoc Nguyen, M. Dras, Mark Johnson
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MALAY PART OF SPEECH TAGGING USING RULED-BASED APPROACH
Asia-Pacific Journal of Information Technology and Multimedia, 2017 The research on part of speech (POS) tagging has been widely applied and used through a variety of approaches, particularly for European languages. But it is more challenging for Asian languages, especially Malay as it has some element of modification ...
Nur Ashikin Halid, Nazlia Omar
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Reliable Part-of-Speech Tagging of Historical Corpora through Set-Valued Prediction [PDF]
Journal of Data Mining and Digital HumanitiesSyntactic annotation of corpora in the form of part-of-speech (POS) tags is a key requirement for both linguistic research and subsequent automated natural language processing (NLP) tasks.
Stefan Heid +2 more
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POS tagging of dialectal Arabic [PDF]
Proceedings of the ACL Workshop on Computational Approaches to Semitic Languages - Semitic '05, 2005 Natural language processing technology for the dialects of Arabic is still in its infancy, due to the problem of obtaining large amounts of text data for spoken Arabic. In this paper we describe the development of a part-of-speech (POS) tagger for Egyptian Colloquial Arabic. We adopt a minimally supervised approach that only requires raw text data from
Kevin Duh, Katrin Kirchhoff
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