Sentence Generator for English Language using Formal Semantics

被引:0
|
作者
Gore, Ankita [1 ]
Yadav, Preeti [1 ]
Chouhan, Vaishnavi [1 ]
Bajaj, Vanshika [1 ]
Kumar, M. Sasi [2 ]
Tayal, Madhuri A. [1 ]
机构
[1] Shri Ramdeobaba Coll Engn & Management, Nagpur, India
[2] Ctr Dev Adv Comp, Mumbai, India
来源
关键词
NLP; Sentence generator; POS tagger; Verbs; Nouns;
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
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 which connects us with everyday activities such as texting, emailing, and cross-language communication. The requirement for intelligent systems that can read 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 are simple, compound and complex sentences is described. This random sentence generation is beneficial for students studying on online platform to learn clauses as they will get variety of exercised to practice on. Initially simple sentences get generated and subsequently moved on to compound sentence and complex sentence generation. In this method, roughly hundred verbs are used to get varied randomness along with 3-4 conjunctions and objects which nearly fits with the verbs and gives a syntactically and semantically meaningful sentence as outcome.
引用
收藏
页码:292 / 297
页数:6
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