Swasti MishraIndian Institute of Technology (Banaras Hindu University) Varanasi | BHU · Department of Humanistic Studies
Swasti Mishra
Ph.D. in Linguistics
About
12
Publications
4,293
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21
Citations
Introduction
Additional affiliations
December 2010 - August 2024
Harper Collins Publishers
Position
- Chief Editorial Consultant (Freelance)
Description
- Consultancy work as a linguist and language expert for English-Hindi language pair.
June 2002 - April 2004
The Asiatic Society
Position
- H. P. Shastri Chair Fellow
Description
- Research in the area of Folk-Linguistics.
Education
March 2002 - December 2006
July 1999 - August 2001
July 1997 - August 1999
Publications
Publications (12)
This paper investigates Kajari folk songs as a coping mechanism, shedding light on their role in providing therapeutic support to women in North Indian society. Traditionally sung by women during the Sawan month (monsoon season), these songs serve as vital tools for women to navigate and cope with the constraints of society and gender norms. Despit...
This discursive study explores the portrayal of empowering women in advertisements, shedding light on the evolving narrative within the realm of marketing and media. The analysis delves into the discursive strategies employed by advertisers to construct empowering representations of women, examining linguistic, visual, and cultural elements. Throug...
Television advertisements play a significant role in shaping societal norms and values, particularly regarding gender roles and expectations. In India, where television is a major source of entertainment and information for many people, the portrayal of gender in television advertisements can significantly impact how gender is perceived and perform...
In Natural Language Processing (NLP) pipelines, Named Entity Recognition (NER) is one of the preliminary problems, which marks proper nouns and other named entities such as Location, Person, Organization, Disease etc. Such entities, without an NER module, adversely affect the performance of a machine translation system. NER helps in overcoming this...
Corpus preparation for low-resource languages and for development of human language technology to analyze or computationally process them is a laborious task, primarily due to the unavailability of expert linguists who are native speakers of these languages and also due to the time and resources required. Bhojpuri, Magahi, and Maithili, languages o...
This book covers the large area of allied disciplines of Linguistics, in which some areas are traditional and others quite new. In recent decades new branches and their sub-branches of Linguistics and allied disciplines have emerged. This book is a testimony to this fact.
Sequential labelling plays a vital role in solving numerous Natural Language Processing (NLP) applications such as Machine Translation and Information Extraction etc. One of these is Part-of-Speech (POS) tagging, which assigns a sequence of grammatical categories to the given sentence, and Chunking which groups them into ‘chunks’ or what can be cal...
In Natural Language Processing (NLP) pipelines, Named Entity Recognition (NER) is one of the preliminary problems, which marks proper nouns and other named entities such as Location, Person, Organization, Disease etc. Such entities, without a NER module, adversely affect the performance of a machine translation system. NER helps in overcoming this...
Corpus preparation for low-resource languages and for development of human language technology to analyze or computationally process them is a laborious task, primarily due to the unavailability of expert linguists who are native speakers of these languages and also due to the time and resources required. Bhojpuri, Magahi, and Maithili, languages o...
Corpus preparation for low-resource languages and for development of human language technology to analyze or computationally process them is a laborious task, primarily due to the unavailability of expert linguists who are native speakers of these languages and also due to the time and resources required. Bhojpuri, Magahi, and Maithili, languages o...