Milind Kumar Audichya

SJD International · Information Technology

Machine learning models, such as ChatGPT, are increasingly being used in creative writing. ChatGPT, a language model developed by OpenAI, can generate human-like writings in a variety of styles, including poetry and fiction. The purpose of this research is to investigate the possibilities of ChatGPT in creative writing and natural language text pro...

The authors of this research paper present a mechanism for dealing with loanwords, missing words, and newly developed terms inclusion issues in WordNets. WordNet has evolved as one of the most prominent Natural Language Processing (NLP) toolkits. This mechanism can be used to improve the WordNet of any language. The authors chose to work with the H...

The research work presents the mechanism for the automatic metadata generation for Hindi poetry. The research work is carried out with the mixed approach of a combination of Natural Language Processing and Computational Linguistics as per the demand of the research problem. In this research work, the primary focus is on the Hindi Verses (‘Ch- hand’...

Poetry covers a vast part of the literature of any language. Similarly, Hindi poetry is also having a massive portion in Hindi literature. In Hindi poetry construction, it is necessary to take care of various verse writing rules. This paper focuses on the automatic metadata generation from such poems by computational linguistics integrated advance...

Poems have always been an excellent way of expressing emotions in any language. In particular, Hindi poetry is having versatile popularity among native and non-native speakers all over the world. A typical poem in Hindi is characterized by meter (“Chhand”), emotion (“Rasa”), and figure of speech (“Alankaar”). The present research work is the first...

Metadata generation for the poems based on the unified rules is very complex from the viewpoint of computational linguistics. This is more tedious when it comes to Hindi poems. Prosody or ‘Chhand’ as it is called in the Hindi language consists of several sets of rules and which are used while construction of a Hindi poem. Currently, no such metadat...

Optical Character Recognition (OCR) plays an essential role in today's fast-growing technical world. In the present scenario, OCR for the diversity of languages is gaining significant attention. Abundant work has been already carried out for numerous Indian regional scripts, like Bangla, Devanagari, Gurumukhi, Kannada, Malayalam, Oriya, Tamil, Telu...

Optical Character Recognition (OCR) is a widely-known technique to recognize the printed text using computer with the help of various peripheral devices. Research works for OCR of many languages scripts is in process and many languages are still far away. Gujarati script is one of the least focused script in research area of OCR as compared to othe...