51 Result(s)
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Niladri Sekhar Dash
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Chapter and Conference Paper
Application of Expectation–Maximization Algorithm to Solve Lexical Divergence in Bangla–Odia Machine Translation
This paper shows the word alignment between Odia–Bangla languages using the expectation–maximization (EM) algorithm with high accuracy output. The entire mathematical calculation is worked out and shown here b...
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Article
In search of a suitable method for disambiguation of word senses in Bengali
The paper presents a study on word sense disambiguation (WSD) in Bengali, one of the less resourced Indian languages. The overall work is carried out in two sequential phases. In the first phase, four well-kno...
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Article
Text categorization: past and present
Automatic text categorization is the operation of sorting out the text documents into pre-defined text categories using some machine learning algorithms. Normally, it defines the most important approaches to o...
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Chapter and Conference Paper
Text Categorization: A Lazy Learning-Based Approach
The instantaneous magnification of digital texts has made text categorization a prime technique for managing and sorting text data. The goal of this study is to present a lazy learning-based text categorizatio...
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Article
Automatic categorization of web text documents using fuzzy inference rule
The digital world is flooded with a huge number of documents belonging to multifarious categories. Most of these documents are uncategorized, which is a hindrance to efficient retrieval. In the case of news te...
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Chapter and Conference Paper
Web Text Categorization: A LSTM-RNN Approach
of text documents has become a prime task with plenty of applications. It is a process that assigns the text documents to their individual categories based on the contents. In this paper, a long-s...
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Article
A novel approach to word sense disambiguation in Bengali language using supervised methodology
An attempt is made in this paper to report how a supervised methodology has been adopted for the task of Word Sense Disambiguation (WSD) in Bengali with necessary modifications. At the initial stage, four comm...
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Chapter and Conference Paper
Efficient Feature Selection Based on Modified Cuckoo Search Optimization Problem for Classifying Web Text Documents
The continuous increase of information in the web with varying dimensions is becoming difficult for users to filter and analyse them efficiently as it incorporates redundant and irrelevant terms
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Chapter and Conference Paper
Categorization of Bangla Medical Text Documents Based on Hybrid Internal Feature
This paper aims to develop an automatic text categorization system that classifies Bangla medical and non-medical text documents based on two primary features, that is, word length and the presence of English ...
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Chapter and Conference Paper
An Innovative Method of Feature Extraction for Text Classification Using PART Classifier
With the advent of technology and thrust to create machines with human intelligence, the frontiers in machine learning are being stretched incessantly. With the increasing number of digital information in rec...
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Chapter
Process of Text Corpus Generation
In this , shall argue and try to explain our claims that a language , which is being developed for representing a natural language, should be large in the amount of data, multidimensional in , and maxim...
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Chapter
Statistical Studies on Language Corpus
In this , we make attempt to discuss in brief about various types of statistical approaches that are normally used for and analyzing a as well as for obtaining data which may be considered statistically...
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Chapter
Corpus as a Primary Resource for ELT
In this , we argue in favor of as a second language to the with direct of (ELC). Kee** various advantages of ELC in view, we address here some of the issues relating to the application of ELC as a...
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Chapter
Corpus and Word Sense Disambiguation
Every natural language has a large set of , which, when these are used in a piece of , may vary in sense denotation. It has been noted that for ages that , where these are found to be used, can play an ex...
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Chapter
Corpus and Dictionary Making
Recent works show that a can be made to a certain level of satisfaction if it is made with data and acquired from widely representative and properly balanced language . A language provides an empirical ...
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Chapter
Corpus and Machine Translation
History shows that a machine translation (MT) system with the support of a few linguistic rules is not realistic. A few rules are not sufficient for capturing the wide variety a natural language exhibits in it...
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Chapter
Language Corpora: The Indian Scenario
The humble of this is to refer to some of the achievements in the area of generation and databases compilation, which have been done for a few within last two and half decades. We shall also try to r...
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Chapter
Issues in Text Corpus Generation
In this , we shall briefly discuss some of the basic issues that are directly linked with corpus generation in digital form with the involvement of computer in the process. The act of asks for considerati...
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Chapter
Corpus Editing and Text Normalization
this , we propose for applying processes like and as some of the essential components of and for making a ready for access across various domains of and . Here, we identify some of the basic...
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Chapter
Processing Texts in a Corpus
In this , we shall make attempt to discuss some of the most common techniques that are often used for texts stored in a . From the early stage of and , most of these techniques have been quite useful ...
