Results 1 to 10 of about 4,587 (161)

Improving part-of-speech tagging in Amharic language using deep neural network [PDF]

Heliyon, 2023
To date, several POS taggers have been introduced to facilitate the success of semantic analysis for different languages. However, the task of POS tagging becomes a bit intricate in morphologically complex languages, like Amharic.
Sintayehu Hirpassa, G.S. Lehal
doaj   +2 more sources

Part of Speech Tagging of Zhuang Language Based on Reinforcement Learning [PDF]

Jisuanji gongcheng, 2020
Currently,intelligent information processing of the Zhuang language is in its fancy and lacks automatic tagging methods for parts of speech.To address the lack of Zhuang corpus,arduousness of manual tagging,and poor performance of machine tagging,this ...
TANG Suqin, SUN Yaru, LI Zhixin, ZHANG Canlong
doaj   +1 more source

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, Putra Pandu Adikara, Sigit Adinugroho   +2 more
doaj   +1 more source

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
doaj   +1 more source

Part of speech tagging in context [PDF]

Proceedings of the 20th international conference on Computational Linguistics - COLING '04, 2004
We present a new HMM tagger that exploits context on both sides of a word to be tagged, and evaluate it in both the unsupervised and supervised case. Along the way, we present the first comprehensive comparison of unsupervised methods for part-of-speech tagging, noting that published results to date have not been comparable across corpora or lexicons ...
Michele Banko, Robert C. Moore
openaire   +2 more sources

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
doaj   +1 more source

Distributional part-of-speech tagging [PDF]

Proceedings of the seventh conference on European chapter of the Association for Computational Linguistics -, 1995
This paper presents an algorithm for tagging words whose part-of-speech properties are unknown. Unlike previous work, the algorithm categorizes word tokens in context instead of word types. The algorithm is evaluated on the Brown Corpus.
openaire   +4 more sources

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
doaj   +1 more source

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
doaj   +1 more source

A review of Khmer word segmentation and part-of-speech tagging and an experimental study using bidirectional long short-term memory

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
doaj   +1 more source