Named Entity Recognition for Konkani Speech

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Autor principal: Shalaka Naik Dessai
Formato: Recurso digital
Publicado: Zenodo 2025
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author Shalaka Naik Dessai
author_facet Shalaka Naik Dessai
contents Named Entity Recognition (NER) is the procedure of recognizing and classifying all the proper nouns into pre-defined classes such as locations, persons, organization, date and others. NER has many uses such as Speed up the hiring process by summarizing applicants' CVs, improve internal workflows by categorizing employee complaints and questions, Enable students and researchers to find relevant material faster by summarizing papers and archive material and highlighting key terms, topics, and themes and has many other uses. To work on NER in Indian languages is a difficult and challenging task and also limited due to scarcity of resources, but it has started to appear recently. A named entity recognizer (NER), an essential tool for natural language processing (NLP), is presented for the first time for the Konkani speech as per my knowledge. In this paper NER for Konkani Speech is proposed. The Proposed model is able to identify named entities from Konkani audios and classify them into pre-defined categories like person, location, date and organization.
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institution Zenodo
language
publishDate 2025
publisher Zenodo
record_format zenodo
spellingShingle Named Entity Recognition for Konkani Speech
Shalaka Naik Dessai
Named Entity Recognition
Convolutional Neural Network
Support Vector Machine
Audio Classification.
Named Entity Recognition (NER) is the procedure of recognizing and classifying all the proper nouns into pre-defined classes such as locations, persons, organization, date and others. NER has many uses such as Speed up the hiring process by summarizing applicants' CVs, improve internal workflows by categorizing employee complaints and questions, Enable students and researchers to find relevant material faster by summarizing papers and archive material and highlighting key terms, topics, and themes and has many other uses. To work on NER in Indian languages is a difficult and challenging task and also limited due to scarcity of resources, but it has started to appear recently. A named entity recognizer (NER), an essential tool for natural language processing (NLP), is presented for the first time for the Konkani speech as per my knowledge. In this paper NER for Konkani Speech is proposed. The Proposed model is able to identify named entities from Konkani audios and classify them into pre-defined categories like person, location, date and organization.
title Named Entity Recognition for Konkani Speech
topic Named Entity Recognition
Convolutional Neural Network
Support Vector Machine
Audio Classification.
url https://doi.org/10.5281/zenodo.18103532