Abstract
Natural Language Processing (NLP) is a specific field within artificial intelligence (AI) that focuses on enabling computers to understand spoken and written language in a manner similar to humans. Its practical applications include facilitating everyday activities such as texting, emailing, and cross-language communication. The demand for intelligent systems capable of reading text, listening to voice memos, and engaging in natural language conversations, even in languages like Hindi, has significantly increased in recent years.
This paper presents a random clausal hindi sentence generator, which generates simple, compound, and complex sentences. This tool is particularly useful for students studying on online platforms as it provides a variety of exercises to practice on and learn about clauses. The sentence generation process begins with the generation of simple sentences and gradually progresses to compound and complex sentences. The method employs approximately one hundred verbs to introduce randomness, along with three to four conjunctions and objects that are closely associated with the verbs. This approach ensures that the generated sentences are both syntactically and semantically meaningful.
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Tayal, M.A., SasiKumar, M., Mukkirwar, A., Kamdi, S., Singh, H. (2024). Sentence Generator for Hindi Language Using Formal Semantics. In: Sharma, S.K., Dwivedi, Y.K., Metri, B., Lal, B., Elbanna, A. (eds) Transfer, Diffusion and Adoption of Next-Generation Digital Technologies. TDIT 2023. IFIP Advances in Information and Communication Technology, vol 697. Springer, Cham. https://doi.org/10.1007/978-3-031-50188-3_12
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DOI: https://doi.org/10.1007/978-3-031-50188-3_12
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