Sunday, June 2, 2019

Natural Language Generation Essay -- Computer Science

Natural Language GenerationAbstract Natural language coevals is a relatively new field in computer science. The two main questions to be solved are what to say and how to say it. What to say includes respond questions not itemally asked by the user, and remembering previous statements made by the user and by the political program itself. How to say it involves construction of logical fourth dimensions, use of pronouns, and sentence fragments. When speech synthesis is used, it also involves producing intelligible word rhythm, emphasis, and pauses. A new, exciting extension of speech synthesis is the inclusion of emotion in speech. UserELIZA men are all alikeIn what way?Theyre always bugging us about something or otherCan you think of a specific example?Well, my boyfriend made me come here.Your boyfriend made you come here.He says Im depressed much of the time.I am high-risk to hear you are depressed.Its true, I am unhappy.Do you think coming here testament help you not be unhappy?I need some help that much seems certain.What would it mean to you if you got some help?Perhaps I could get along with my get down.Tell me more about your family.My mother takes care of me.Who else in your family takes care of you?My father.Your father.You are like my father in some ways.What resemblance do you see? Natural language extension is the generation of printed text as well as synthesized speech. The transcript above is from a system that generates psychoanalytic responses to user input. This system is called ELIZA, and was developed at MIT in the 1960s. The program illustrates some of the issues of natur... ...gories such as pitch, voice speed, loudness, and pause length. She wrote a program that output these changes based on the emotion that it was asked to portray. Sample output from this program stand be found online. When emotion can be output regularly in speech synthesis, a new breed of natural language applications will beginNatural language generat ion is a young and exciting subject. There is still much research to be done to find the trump way of representing a grammar, and providing a program capable of remembering previous statements, interpreting user input, speaking in sentences and sentence fragments, and providing a natural conversation. blush newer is the possibility of adding emotional flavor to synthesized speech. The windows that are opened by these studies present such a vast landscape of new applications that it is impossible to imagine them all.

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