Ankita Gore, Vanshika Bajaj, Preeti Yadav, Vaishnavi Chouhan, Madhuri A. Tayal, M. S. Kumar
{"title":"Sentence Generator for English Language using Formal Semantics","authors":"Ankita Gore, Vanshika Bajaj, Preeti Yadav, Vaishnavi Chouhan, Madhuri A. Tayal, M. S. Kumar","doi":"10.47164/ijngc.v14i1.1090","DOIUrl":null,"url":null,"abstract":"Natural Language Processing (NLP), is more specifically the branch of ”artificial intelligence” (AI) concerned with providing computers the ability to comprehend spoken and written language in a manner similar to that of humans. It is used for practical purposes to help connects us with everyday activities such as texting, emailing, and cross-language communication. The requirement for intelligent systems that can read a text and listen to voice memos and can converse with people in a natural language like English has substantially increased in recent years. In this paper, the random clausal sentence generator which is simple, compound, and complex sentences are described. This random sentence generation is beneficial for students studying on online platforms to learn clauses as they will get a variety of exercises to practice. Initially, simple sentences get generated and subsequently moved on to compound sentence and complex sentence generation. In this method, roughly hundredverbs are used to get varied randomness along with 3-4 conjunctions and objects which nearly fit with the verbs and give a syntactically and semantically meaningful sentence as the outcome.","PeriodicalId":42021,"journal":{"name":"International Journal of Next-Generation Computing","volume":"68 1","pages":""},"PeriodicalIF":0.3000,"publicationDate":"2023-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Next-Generation Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.47164/ijngc.v14i1.1090","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Natural Language Processing (NLP), is more specifically the branch of ”artificial intelligence” (AI) concerned with providing computers the ability to comprehend spoken and written language in a manner similar to that of humans. It is used for practical purposes to help connects us with everyday activities such as texting, emailing, and cross-language communication. The requirement for intelligent systems that can read a text and listen to voice memos and can converse with people in a natural language like English has substantially increased in recent years. In this paper, the random clausal sentence generator which is simple, compound, and complex sentences are described. This random sentence generation is beneficial for students studying on online platforms to learn clauses as they will get a variety of exercises to practice. Initially, simple sentences get generated and subsequently moved on to compound sentence and complex sentence generation. In this method, roughly hundredverbs are used to get varied randomness along with 3-4 conjunctions and objects which nearly fit with the verbs and give a syntactically and semantically meaningful sentence as the outcome.