An analysis of word sense disambiguation in Bangla and English using supervised learning and a deep neural network classifier

This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2016.

গ্রন্থ-পঞ্জীর বিবরন
প্রধান লেখক: Pasha, Maroof Ur Rahman
অন্যান্য লেখক: Mostakim, Mr. Moin
বিন্যাস: গবেষণাপত্র
ভাষা:English
প্রকাশিত: BRAC University 2016
বিষয়গুলি:
অনলাইন ব্যবহার করুন:http://hdl.handle.net/10361/6417
id 10361-6417
record_format dspace
spelling 10361-64172022-01-26T10:21:51Z An analysis of word sense disambiguation in Bangla and English using supervised learning and a deep neural network classifier Pasha, Maroof Ur Rahman Mostakim, Mr. Moin Department of Computer Science and Engineering, BRAC University Neural networks Word sense disambiguation Machine learning This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2016. Cataloged from PDF version of thesis report. Includes bibliographical references (page 35-36). Word sense disambiguation is a significant task in natural language processing and addresses an old problem in the field of computational linguistics. Word sense disambiguation facilitates tasks like machine translation, information retrieval, text-to-speech and other application systems. Sense ambiguity is introduced because certain words for a given language can have multiple meanings. Word sense disambiguation involves identifying the correct sense of a word for a given context. Bangla language has a few cases of word sense ambiguity. Many machine learning algorithms have already been applied to disambiguate word sense including few implementations of neural networks. However, many existing word sense disambiguation systems using supervised learning and neural networks were focused only on English data. And an evaluation of their implementation on Bangla data is necessary. This thesis attempts to analyze and present results when using an updated deep neural network classifier and supervised learning algorithm for word sense disambiguation on a Bangla dataset and on an English dataset. A pre-processor for the dataset was constructed to appropriately extract features from the context sentences to build sets of refined feature vectors which are fed into the neural network. Maroof Ur Rahman Pasha B. Computer Science and Engineering 2016-09-20T03:55:58Z 2016-09-20T03:55:58Z 2016 2015-08 Thesis ID 12301004 http://hdl.handle.net/10361/6417 en BRAC University thesis are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. 36 pages application/pdf BRAC University
institution Brac University
collection Institutional Repository
language English
topic Neural networks
Word sense disambiguation
Machine learning
spellingShingle Neural networks
Word sense disambiguation
Machine learning
Pasha, Maroof Ur Rahman
An analysis of word sense disambiguation in Bangla and English using supervised learning and a deep neural network classifier
description This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2016.
author2 Mostakim, Mr. Moin
author_facet Mostakim, Mr. Moin
Pasha, Maroof Ur Rahman
format Thesis
author Pasha, Maroof Ur Rahman
author_sort Pasha, Maroof Ur Rahman
title An analysis of word sense disambiguation in Bangla and English using supervised learning and a deep neural network classifier
title_short An analysis of word sense disambiguation in Bangla and English using supervised learning and a deep neural network classifier
title_full An analysis of word sense disambiguation in Bangla and English using supervised learning and a deep neural network classifier
title_fullStr An analysis of word sense disambiguation in Bangla and English using supervised learning and a deep neural network classifier
title_full_unstemmed An analysis of word sense disambiguation in Bangla and English using supervised learning and a deep neural network classifier
title_sort analysis of word sense disambiguation in bangla and english using supervised learning and a deep neural network classifier
publisher BRAC University
publishDate 2016
url http://hdl.handle.net/10361/6417
work_keys_str_mv AT pashamaroofurrahman ananalysisofwordsensedisambiguationinbanglaandenglishusingsupervisedlearningandadeepneuralnetworkclassifier
AT pashamaroofurrahman analysisofwordsensedisambiguationinbanglaandenglishusingsupervisedlearningandadeepneuralnetworkclassifier
_version_ 1814309612994691072