基于形式语义的英语句子生成器

Ankita Gore, Vanshika Bajaj, Preeti Yadav, Vaishnavi Chouhan, Madhuri A. Tayal, M. S. Kumar
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引用次数: 0

摘要

自然语言处理(NLP),更具体地说,是“人工智能”(AI)的一个分支,它关注的是为计算机提供以类似于人类的方式理解口语和书面语言的能力。它的实际用途是帮助我们与日常活动联系起来,比如发短信、发电子邮件和跨语言交流。近年来,人们对能够阅读文本、收听语音备忘录以及能用英语等自然语言与人交谈的智能系统的需求大幅增加。本文介绍了简单句、复合句和复合句的随机子句生成器。这种随机生成的句子有利于学生在网络平台上学习句子,因为他们可以得到各种各样的练习。首先生成简单句,然后再生成复合句和复合句。该方法使用了大约100个动词,并结合3-4个与动词相匹配的连词和宾语,得到了一个在句法和语义上都有意义的句子。
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Sentence Generator for English Language using Formal Semantics
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.
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来源期刊
International Journal of Next-Generation Computing
International Journal of Next-Generation Computing COMPUTER SCIENCE, THEORY & METHODS-
自引率
66.70%
发文量
60
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