Natural Language Generation Essay -- Computer Science

Natural Language GenerationAbstract Natural lecture extension is a relatively new field in computer science. The devil main questions to be solved atomic number 18 what to differentiate and how to say it. What to say includes answering questions not specifically asked by the exploiter, and remembering previous statements make by the user and by the program itself. How to say it involves construction of reasonable sentences, use of pronouns, and sentence fragments. When speech synthesis is used, it also involves producing intelligible backchat rhythm, emphasis, and rifts. A new, exciting extension of speech synthesis is the inclusion of perception in speech. UserELIZAMen are all alikeIn what way?Theyre always bugging us about something or otherCan you think of a specific example?Well, my boyfriend do me come here(predicate).Your boyfriend made you come here.He says Im depressed very much of the time.I am sorry to hear you are depressed.Its true, I am unhappy.Do you think coming here will help you not be unhappy?I drive some help that much seems certain.What would it mean to you if you got some help? peradventure I could get along with my generate.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 times 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(prenominal) 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. have output from this program earth-closet be found online. When emotion can be output regularly in speech synthesis, a new breed of n atural language applications will beginNatural language generation is a young and exciting subject. There is still much research to be done to find the best 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. Even 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.