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Bangla Natural Language Processing: A Comprehensive Review of Classical, Machine Learning, and Deep Learning Based Methods [article]

Ovishake Sen, Mohtasim Fuad, MD. Nazrul Islam, Jakaria Rabbi, MD. Kamrul Hasan, Mohammed Baz, Mehedi Masud, Md. Abdul Awal, Awal Ahmed Fime, Md. Tahmid Hasan Fuad, Delowar Sikder, MD. Akil Raihan Iftee
2021 arXiv   pre-print
We discuss Classical, Machine Learning and Deep Learning approaches with different datasets while addressing the limitations and current and future trends of the BNLP.  ...  There is an apparent scarcity of resources that contain a comprehensive study of the recent BNLP tools and methods.  ...  Table 13 shows the short description of machine learning and deep learning methods used in Bangla natural language processing till now. N. METHODS USED IN BNLP 1) Classical 2) ML and DL IV.  ... 
arXiv:2105.14875v2 fatcat:kvqmgxpthvh2fj7jza64n6kaiq

Bangla Natural Language Processing: A Comprehensive Analysis of Classical, Machine Learning, and Deep Learning Based Methods

Ovishake Sen, Mohtasim Fuad, Md. Nazrul Islam, Jakaria Rabbi, Mehedi Masud, Md. Kamrul Hasan, Md. Abdul Awal, Awal Ahmed Fime, Md. Tahmid Hasan Fuad, Delowar Sikder, Md. Akil Raihan Iftee
2022 IEEE Access  
There is an apparent scarcity of resources that contain a comprehensive review of the recent BNLP tools and methods.  ...  There are some review papers to understand the past, previous, and future Bangla Natural Language Processing (BNLP) trends.  ...  The research purpose of this analysis is to make a comprehensive review study of classical, machine learning, and deep learning-based methods of the existing Bangla Natural Language Processing research  ... 
doi:10.1109/access.2022.3165563 fatcat:rmersduz6vbyjjczvobrebskmi

A Review of Bangla Natural Language Processing Tasks and the Utility of Transformer Models [article]

Firoj Alam, Arid Hasan, Tanvirul Alam, Akib Khan, Janntatul Tajrin, Naira Khan, Shammur Absar Chowdhury
2021 arXiv   pre-print
in the natural language processing (NLP) community.  ...  We hope that such a comprehensive survey will motivate the community to build on and further advance the research on Bangla NLP.  ...  Research on Bangla Natural Language Processing (BNLP) began in the early 1990s, with an initial focus on rule-based lexical and morphological analysis [106, 180, 181] .  ... 
arXiv:2107.03844v3 fatcat:hermrinleneercodguko6kwxhu

Authorship Attribution in Bangla Literature (AABL) via Transfer Learning using ULMFiT

Aisha Khatun, Anisur Rahman, Md Saiful Islam, Hemayet Ahmed Chowdhury, Ayesha Tasnim
2022 ACM Transactions on Asian and Low-Resource Language Information Processing  
Despite significant advancements in other languages such as English, Spanish, and Chinese, Bangla lacks comprehensive research in this field due to its complex linguistic feature and sentence structure  ...  problem and release six variations of pre-trained language models for use in any Bangla NLP downstream task.  ...  Deep learning approaches have been using this method to boost model performance and save an enormous amount of time on various computer vision tasks and natural language processing (NLP).  ... 
doi:10.1145/3530691 fatcat:dpvjpaiurzcudcvovifmwwyh7a

Multimodal Hate Speech Detection from Bengali Memes and Texts [article]

Md. Rezaul Karim and Sumon Kanti Dey and Tanhim Islam and Bharathi Raja Chakravarthi
2022 arXiv   pre-print
However, despite having a lot of diversity and millions of native speakers, some languages such as Bengali are under-resourced, which is due to a lack of computational resources for natural language processing  ...  Numerous works have been proposed to employ machine learning (ML) and deep learning (DL) techniques to utilize textual data from social media for anti-social behavior analysis such as cyberbullying, fake  ...  language models, labelled datasets, and efficient machine learning (ML) methods for various NLP tasks.  ... 
arXiv:2204.10196v1 fatcat:ryboqcmyqfd6dcv3q5qjpiz23q

Sentiment Analysis Using Deep Learning Techniques: A Review

Qurat Tul, Mubashir Ali, Amna Riaz, Amna Noureen, Muhammad Kamranz, Babar Hayat, A. Rehman
2017 International Journal of Advanced Computer Science and Applications  
The challenge for sentiment analysis is lack of sufficient labeled data in the field of Natural Language Processing (NLP).  ...  And to solve this issue, the sentiment analysis and deep learning techniques have been merged because deep learning models are effective due to their automatic learning capability.  ...  semantics, natural language processing, artificial intelligence and machine learning [6] .  ... 
doi:10.14569/ijacsa.2017.080657 fatcat:us4hwclsx5ghtjo4v5vkvfkqqm

Handwritten Bangla Character Recognition Using The State-of-Art Deep Convolutional Neural Networks [article]

Md Zahangir Alom, Peheding Sidike, Mahmudul Hasan, Tark M. Taha and Vijayan K. Asari
2018 arXiv   pre-print
The deep learning approaches have the advantage of extracting and using feature information, improving the recognition of 2D shapes with a high degree of invariance to translation, scaling and other distortions  ...  In spite of advances in object recognition technology, Handwritten Bangla Character Recognition (HBCR) remains largely unsolved due to the presence of many ambiguous handwritten characters and excessively  ...  dataset on Bangla characters.  ... 
arXiv:1712.09872v3 fatcat:x6l3hrjbebeidnganizc74cmse

Handwritten Optical Character Recognition (OCR): A Comprehensive Systematic Literature Review (SLR)

Jamshed Memon, Maira Sami, Rizwan Ahmed Khan, Mueen Uddin
2020 IEEE Access  
During last decade, researchers have used artificial intelligence / machine learning tools to automatically analyze handwritten and printed documents in order to convert them into electronic format.  ...  Optical character recognition is a science that enables to translate various types of documents or images into analyzable, editable and searchable data.  ...  KERNEL METHODS A number of powerful kernel-based learning models, e.g.  ... 
doi:10.1109/access.2020.3012542 fatcat:f5bfni5kbfhf3i63lvv3t6pena

Handwritten Bangla Character Recognition Using the State-of-the-Art Deep Convolutional Neural Networks

Md Zahangir Alom, Paheding Sidike, Mahmudul Hasan, Tarek M. Taha, Vijayan K. Asari
2018 Computational Intelligence and Neuroscience  
In this paper, a set of the state-of-the-art deep convolutional neural networks (DCNNs) is discussed and their performance on the application of HBCR is systematically evaluated.  ...  In spite of advances in object recognition technology, handwritten Bangla character recognition (HBCR) remains largely unsolved due to the presence of many ambiguous handwritten characters and excessively  ...  of natural language processing (NLP) [1] [2] [3] .  ... 
doi:10.1155/2018/6747098 pmid:30224913 pmcid:PMC6129853 fatcat:hhi7omtw4rgnfibpadwnnpgkdu

Review on Multiple Plagiarism: A Performance Comparison Study [article]

Jabir Al Nahian, Abu Kaisar Mohammad Masum
2022 arXiv   pre-print
Now a days, plagiarism became one of the most interesting and crucial research points in Natural Language Processing area.  ...  We analysis those papers, and learn that they used different types of algorithms for detecting plagiarism.  ...  Our supervisor and course instructor deserve special thanks for his patience and support in helping us overcome the lot of obstacles we encountered during our research.  ... 
arXiv:2206.02983v2 fatcat:tgq7k4a665fhff5wooy4vhpjui

DeepHateExplainer: Explainable Hate Speech Detection in Under-resourced Bengali Language [article]

Md. Rezaul Karim and Sumon Kanti Dey and Tanhim Islam and Sagor Sarker and Mehadi Hasan Menon and Kabir Hossain and Bharathi Raja Chakravarthi and Md. Azam Hossain and Stefan Decker
2021 arXiv   pre-print
Bengali texts are first comprehensively preprocessed, before classifying them into political, personal, geopolitical, and religious hates using a neural ensemble method of transformer-based neural architectures  ...  Evaluations against machine learning~(linear and tree-based models) and neural networks (i.e., CNN, Bi-LSTM, and Conv-LSTM with word embeddings) baselines yield F1-scores of 78%, 91%, 89%, and 84%, for  ...  Although Bengali is a rich language with a lot of diversity, it is severely low-resourced for natural language processing (NLP).  ... 
arXiv:2012.14353v4 fatcat:xpwnvfh2bnh2xbiewqzrrys2cu

Identifying vulgarity in Bengali social media textual content

Salim Sazzed
2021 PeerJ Computer Science  
To automatically identify vulgarity, we employ various approaches, such as classical machine learning (CML) classifiers, Stochastic Gradient Descent (SGD) optimizer, a deep learning (DL) based architecture  ...  , and lexicon-based methods.  ...  Chakraborty & Seddiqui (2019) employed machine learning and natural language processing techniques to build an automatic system for detecting abusive comments in Bengali.  ... 
doi:10.7717/peerj-cs.665 pmid:34805498 pmcid:PMC8576541 fatcat:ahhpekpg3zcntmdwsyuf7pznza

Derin Öğrenme Araştırma Alanlarının Literatür Taraması

M. Mutlu Yapıcı, Adem Tekerek, Nurettin Topaloğlu
2019 Gazi Mühendislik Bilimleri Dergisi  
In the last decade, the-state-of-the-art studies on many research areas such as computer vision, object recognition, speech recognition, and natural language processing were especially led to the awakening  ...  In the present day, Deep learning methods have reached better results than humans in object recognition.  ...  [27] proposed a novel CNN and RNN based DL method which generates natural language descriptions of remote sensing images.  ... 
doi:10.30855/gmbd.2019.03.01 fatcat:2sv7dg7elrfqppcjx5otzmb7pi

Aggression Detection in Social Media from Textual Data Using Deep Learning Models

Umair Khan, Salabat Khan, Atif Rizwan, Ghada Atteia, Mona M. Jamjoom, Nagwan Abdel Samee
2022 Applied Sciences  
However, most existing methods only consider NLP-based feature extractors, e.g., TF-IDF, Word2Vec, with a lack of consideration for emotional features, which makes these less effective for cyber aggression  ...  In this work, we extracted eight novel emotional features and used a newly designed deep neural network with only three numbers of layers to identify aggressive statements.  ...  Cyber aggression detection is a fundamental problem of natural language processing (NLP).  ... 
doi:10.3390/app12105083 fatcat:cb5rwrdqhrdcpiv6ivffywiu3e

L-Boost: Identifying Offensive Texts from Social Media Post in Bengali

M. F. Mridha, Md. Anwar Hussen Wadud, Md. Abdul Hamid, Muhammad Mostafa Monowar, M. Abdullah-Al-Wadud, Atif Alamri
2021 IEEE Access  
His area of interest is Big Data Analysis, Deep Learn- ing, Natural Language Processing, Internet of  ...  ; security and privacy issues; and natural language processing.  ... 
doi:10.1109/access.2021.3134154 fatcat:jaaavefprne2xlukdtywtxzd6a
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