Named Entity Recognition of Kumauni Language using Machine Learning (ML)

Abstract Communication between humans is impossible without the use of language. Natural Language Processing (NLP) is a technique that is used so that computers can comprehend various natural languages. Named Entity Recognition (NER) is a subtask of information extraction that aims to discover and categorize the components in given text into pre-defined categories. NER is an abbreviation for the phrase ”named entity recognition”. Machine translation, question-answering systems, and automatic summarization are exam- ples of the types of NLP tasks that can benefit from NER. The purpose of this research is to investigate whether or if it is possible to create a chatbot that converses in the Kumaon language, as well as any poten- tial difficulties that could arise in the process. In addition to this, the authors provide an in-depth exami- nation of Kumaoni as well as a mapping of the language into other languages to make its use in industrial processing more accessible.