A Deep Learning-Based Approach for Part of Speech (PoS) Tagging in the Pashto Language
IEEE AccessA fundamental task in natural language processing (NLP) is part of speech (PoS) tagging. PoS tagging is crucial to many NLP applications, including question answering, machine translation, syntactic parsing, speech recognition, and semantic parsing.
Shaheen Ullah +6 more
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Part-of-Speech tagging enhancement to natural language processing for Thai wh-question classification with deep learning. [PDF]
Heliyon, 2021 Chotirat S, Meesad P.
europepmc +2 more sources
Part of Speech Tagging in Urdu: Comparison of Machine and Deep Learning Approaches
IEEE Access, 2019 In Urdu, part of speech (POS) tagging is a challenging task as it is both inflectionally and derivationally rich morphological language. Verbs are generally conceived a highly inflected object in Urdu comparatively to nouns.
Wahab Khan +6 more
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Klasifikasi Kelas Kata (Part-Of-Speech Tagging) untuk Bahasa Madura Menggunakan Algoritme Viterbi
Jurnal Teknologi Informasi dan Ilmu Komputer, 2021 Bahasa manusia adalah bahasa yang digunakan oleh manusia dalam bentuk tulisan maupun suara. Banyak teknologi/aplikasi yang mengolah bahasa manusia, bidang tersebut bernama Natural Language Processing yang merupakan ilmu yang mempelajari untuk mengolah ...
Ilham Firmansyah +2 more
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Part-of-speech Tagging of Traditional Chinese Medicine Diagnosis Ancient Prose Based on Second-order HMM [PDF]
Jisuanji gongcheng, 2017 Aiming at the deficiency of traditional Hidden Markov Model(HMM) in solving part-of-speech tagging,this paper proposes an improved second-order HMM.This model can better connect with contextual information,making part-of-speech tagging of the diagnosis ...
LIU Bo,DU Jianqiang,NIE Bin,LIU Lei,ZHANG Xin,HAO Zhulin
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Part of speech tagging: a systematic review of deep learning and machine learning approaches
Journal of Big Data, 2022 Natural language processing (NLP) tools have sparked a great deal of interest due to rapid improvements in information and communications technologies. As a result, many different NLP tools are being produced.
Alebachew Chiche, Betselot Yitagesu
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Part-of-Speech Tagging Using Multiview Learning
IEEE Access, 2020 In natural language processing, character-level representations are vector representations of the particular character. Character-level representations have recently focused on enriching subword information by stacking deep neural models.
Kyungtae Lim, Jungyeul Park
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Ho Chi Minh City Open University Journal of Science - Engineering and Technology, 2022 Large contiguous blocks of unsegmented Khmer words can cause major problems for natural language processing applications such as machine translation, speech synthesis, information extraction, etc.
Sreyteav Sry, Amrudee Sukpan Nguyen
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Part-of-Speech and Morphological Tagging of Algerian Judeo-Arabic
Northern European Journal of Language Technology, 2022 Most linguistic studies of Judeo-Arabic, the ensemble of dialects spoken and written by Jews in Arab lands, are qualitative in nature and rely on laborious manual annotation work, and are therefore limited in scale.
Ofra Tirosh-Becker +3 more
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Automatic Integrated Scoring Model for English Composition Oriented to Part-Of-Speech Tagging
Complexity, 2021 Part-of-speech tagging for English composition is the basis for automatic correction of English composition. The performance of the part-of-speech tagging system directly affects the performance of the marking and analysis of the correction system ...
Fei Chen
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