Bangla natural language processing: A comprehensive analysis of classical, machine learning, and deep learning-based methods

O Sen, M Fuad, MN Islam, J Rabbi, M Masud… - IEEE …, 2022 - ieeexplore.ieee.org
The Bangla language is the seventh most spoken language, with 265 million native and non-
native speakers worldwide. However, English is the predominant language for online …

[PDF][PDF] Bangla natural language processing: A comprehensive review of classical machine learning and deep learning based methods

O Sen, M Fuad, MN Islam, J Rabbi, MK Hasan… - CoRR, 2021 - academia.edu
The Bangla language is the seventh most spoken language, with 265 million native and non-
native speakers worldwide. However, English is the predominant language for online …

A corpus based unsupervised Bangla word stemming using N-gram language model

TT Urmi, JJ Jammy, S Ismail - 2016 5th International …, 2016 - ieeexplore.ieee.org
In this paper, we propose a contextual similarity based approach for identification of stems or
root forms of Bangla words using N-gram language model. The core purpose of our work is …

Suffix based automated parts of speech tagging for Bangla language

MK Roy, PK Paul, SRH Noori… - … on Electrical, Computer …, 2019 - ieeexplore.ieee.org
Natural language processing (NLP) is the technique by which we process the human
language with the computer. Parts-of-Speech (POS) tagging is one of the fundamental …

[HTML][HTML] Building a Nasa Yuwe language corpus and tagging with a metaheuristic approach

LM Sierra Martínez, CA Cobos… - Computación y …, 2018 - scielo.org.mx
Nasa Yuwe is the language of the Nasa indigenous community in Colombia. It is currently
threatened with extinction. In this regard, a range of computer science solutions have been …

A machine translation framework for translating Bangla assertive, interrogative and imperative sentences into English

MS Arefin, MM Hoque, MO Rahman… - 2015 International …, 2015 - ieeexplore.ieee.org
This paper proposes a technique to translate Bangla sentence into corresponding English
sentence using context sensitive grammar rules. A set of context sensitive grammar rules is …

Implementation and performance evaluation of semantic features analysis system for Bangla assertive, imperative and interrogative sentences

MS Karim, FMRH Robi, MM Hossain… - … on Bangla Speech …, 2018 - ieeexplore.ieee.org
For natural language processing of Bangla sentences, semantic analysis is needed.
Sentence structure and validity are two very important parts of semantic analysis. To …

Keyphrase extraction from bengali document using lstm recurrent neural network

NTA Meem, MMH Chowdhury… - 2018 4th International …, 2018 - ieeexplore.ieee.org
Keyphrases are single or multiple word phrases of a document which portrays the principal
points of that document. These keyphrases help readers to get an overview of the document …

[PDF][PDF] LLMs as Zero-Shot Multi-Label Classifiers for Bangla Documents

S Sarkar, SKK Santu - southnlp.github.io
Bangla, the sixth most spoken language globally, poses NLP challenges due to its
complexity and limited resources. Despite recent advances in LLMs, their performance on …

[DOC][DOC] Selección de un Algoritmo para la Construcción de un Identificador de Partes del Discurso (Part-Of-Speech Tagging) para nasa yuwe

LMS Martínez - unicauca.edu.co
POS Tagging es el proceso de marcar palabras en un texto (corpus) basándose en su
relación con las otras palabras que se encuentran alrededor (en su contexto)[1]. Los POS …