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    Chapter and Conference Paper

    Comparative Analysis on Ontology-Based Contextual Senses Approaches for Search Engine

    Computers and the Internet have changed how we live our lives in ways that are often difficult to grasp, therefore it is extremely helpful to utilise computers and the Internet for the purposes of making compu...

    Pooja Mudgil, Pooja Gupta, Iti Mathur in Information and Communication Technology f… (2023)

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    Chapter and Conference Paper

    A Novel Similarity Measure for Context-Based Search Engine

    Analyzing the multiple relevant documents returned in reply to an end-user request by an information retrieval system is challenging. It is very time-consuming and less efficient to find analogous web pages wi...

    Pooja Mudgil, Pooja Gupta, Iti Mathur in International Conference on Innovative Com… (2023)

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    Chapter and Conference Paper

    Hybrid Model with Word2vector in Information Retrieval Ranking

    People have realized the importance of finding and archiving information with the computer advents for thousands of years, and storing of large amount of information became possible. It is actually not related...

    Shweta Pandey, Iti Mathur, Nisheeth Joshi in Data Analytics and Management (2021)

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    Article

    Coalescing IoT and Wi-Fi technologies for an optimized approach in urban route planning

    The quality of air that we breathe is one of the more serious environmental challenges that the government faces all around the world. It is a matter of concern for almost all developed and develo** countrie...

    Bhavya Deep, Iti Mathur, Nisheeth Joshi in Environmental Science and Pollution Research (2020)

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    Chapter and Conference Paper

    An Approach Toward More Accurate Forecasts of Air Pollution Levels Through Fog Computing and IoT

    Rapid urbanization combined with an almost insatiable need for energy has spawned various forms of pollution. Researchers have found air pollution to be at the top of list of factors that cause the most fatali...

    Bhavya Deep, Iti Mathur, Nisheeth Joshi in Information and Communication Technology f… (2020)

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    Chapter and Conference Paper

    Using Analytic Hierarchal Processing in 26/11 Mumbai Terrorist Attack for Key Player Selection and Ranking

    This article having a significant analysis of the Mumbai terrorist attack held on November 26, 2011, using a decision based on multi-criteria which are a potential approach for the social network analysis. The...

    Amit Kumar Mishra, Nisheeth Joshi in Social Networking and Computational Intell… (2020)

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    Chapter and Conference Paper

    A Model of Fuzzy Intelligent Tutoring System

    Learning is a process which is actively constructed by the learner itself. With the advent of technology in the field of Artificial Intelligence, learning is no more restricted to traditional classroom teachin...

    Pooja Asopa, Sneha Asopa, Iti Mathur in International Conference on Innovative Com… (2019)

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    Chapter and Conference Paper

    A Shallow Parsing Model for Hindi Using Conditional Random Field

    In Natural Language Parsing, in order to perform sequential labeling and segmenting tasks, a probabilistic framework named Conditional Random Field (CRF) have an advantage over Hidden Markov Models (HMMs) and ...

    Sneha Asopa, Pooja Asopa, Iti Mathur in International Conference on Innovative Com… (2019)

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    Chapter

    Advanced Machine Learning Techniques in Natural Language Processing for Indian Languages

    The paper represents the advanced NLP learning resources in context of Indian languages: Hindi and Urdu. The research is based on domain-specific platforms which covers health, tourism, and agriculture corpora...

    Vaishali Gupta, Nisheeth Joshi, Iti Mathur in Smart Techniques for a Smarter Planet (2019)

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    Chapter and Conference Paper

    Design and Development of a Rule-Based Urdu Lemmatizer

    Language is known to be one of the tools for communication in a translingual society. It is composed of many elements and the basic fundamental part of a language is the structure of words. Understanding the s...

    Vaishali Gupta, Nisheeth Joshi, Iti Mathur in Proceedings of International Conference on… (2016)

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    Chapter and Conference Paper

    Incorporating Machine Learning Techniques in MT Evaluation

    From a project manager’s perspective, Machine Translation (MT) Evaluation is the most important activity in MT development. Using the results produced through MT Evaluation, one can assess the progress of MT d...

    Nisheeth Joshi, Iti Mathur, Hemant Darbari in Advances in Intelligent Informatics (2015)

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    Chapter and Conference Paper

    Evaluation of English-to-Urdu Machine Translation

    This paper is based on the Evaluation of English-to-Urdu Machine Translation. Evaluation measures the quality characteristic of the Machine Translation output and is based on two approaches: Human Evaluation a...

    Vaishali Gupta, Nisheeth Joshi, Iti Mathur in Intelligent Computing, Networking, and Inf… (2014)

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    Chapter and Conference Paper

    Marathi Parts-of-Speech Tagger Using Supervised Learning

    In this paper, we present a parts-of-speech tagger for inflectional and derivational morphologically rich language Marathi. Marathi is spoken by the native people of Maharashtra. The general approach used for...

    Jyoti Singh, Nisheeth Joshi, Iti Mathur in Intelligent Computing, Networking, and Inf… (2014)

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    Chapter and Conference Paper

    Human and Automatic Evaluation of English to Hindi Machine Translation Systems

    Machine Translation Evaluation is the most formidable activity in Machine Translation Development. We present the MT evaluation results of some of the machine translators available online for English-Hindi mac...

    Nisheeth Joshi, Hemant Darbari, Iti Mathur in Advances in Computer Science, Engineering … (2012)