Comparative Analysis of Deep Learning Models for Part of Speech Tagging in the Malay Language

BM Adebayo, KSM Anbananthen… - HighTech and …, 2024 - hightechjournal.org
Despite the widespread use of Malay, under-resourced languages like Malay face
challenges in Natural Language Processing (NLP), particularly in Part-of-Speech (POS) …

Part of speech (PoS) tagging for Konkani language using HMM

A Rajan, A Salgaonkar - ICT Systems and Sustainability: Proceedings of …, 2022 - Springer
For the first time, a part of speech (PoS) tagger tool using hidden Markov model (HMM) for
Konkani the official language of the Indian state of Goa that is also spoken along the nearby …

Improving Hidden Markov Model for very low resource languages: An analysis for Assamese parts of speech tagging

D Baishya, R Baruah - … on Cloud Computing, Data Science & …, 2021 - ieeexplore.ieee.org
Recent advances in research in the field of natural language processing have facilitated
many new applications. Natural Language Processing basically involves automating the …

Nepali SMS filtering using decision trees, neural network and support vector machine

TB Shahi, S Shakya - 2018 international conference on …, 2018 - ieeexplore.ieee.org
Automated spam detection and filtering is the task of categorizing Short Massage Services
(SMS) into predefined category: Spam and Non-Spam, based on their content with the …

A study of t'nt and crf based approach for pos tagging in assamese language

RR Deka, S Kalita, K Kashyap… - 2020 3rd …, 2020 - ieeexplore.ieee.org
Assamese is one of the official languages of India which is officially recognized among 21
other official languages which is verbalized by, around 20 million people in the Northeastern …

[PDF][PDF] A study on various applications of nlp developed for north-east languages

S Islam, MI Devi, BS Purkayastha - International Journal on …, 2017 - academia.edu
Language Processing (NLP) is an important research area and application in computer
science and computational linguistics, which explores how a computer can be used to …

Memetic algorithm based on global-best harmony search and hill climbing for part of speech tagging

LM Sierra Martínez, CA Cobos, JC Corrales - Mining Intelligence and …, 2017 - Springer
The task of assigning tags to the words of a sentence has many applications today in natural
language processing (NLP) and therefore requires a fast and accurate algorithm. This paper …

Part-of-speech tagging in Mizo language: A preliminary study

MVL Nunsanga, P Pakray, M Lalngaihtuaha… - Data Intelligence and …, 2021 - Springer
Part-of-speech tagging is one of the fundamental tasks in language processing. It is the
process of marking up words in a corpus, based on the context of the word in the sentences …

Context-Driven Corpus-Based Model for Automatic Text Segmentation and Part of Speech Tagging in Setswana Using OpenNLP Tool

MA Dibitso, PA Owolawi, SO Ojo - … 2019, Trento, Italy, November 20–22 …, 2019 - Springer
Setswana is an under-resourced Bantu African language that is morphologically rich with
the disjunctive writing system. Developing NLP pipeline tools for such a language could be …

Thai-Isarn dialect parallel corpus construction for machine translation

P Seresangtakul, P Unlee - 2019 11th International conference …, 2019 - ieeexplore.ieee.org
Parallel corpus is an essential resource in Natural Language Processing (NLP) research,
especially machine language translation. This paper presents the construction process of …