Natural Language Generation

Natural Language Generation Overview Generating natural language is a relatively new field of computer science. The two main problems to be solved are "what to say" and "how to say". The thing to say is to answer questions that the user does not specifically ask, and to remember the user and the statement before the program itself. How to say it involves the composition of logical sentences, pronouns and the use of sentence fragments. When using speech synthesis, it also involves creating understandable word rhythms, emphasis and pauses.

Semantics is the meaning of a sentence or word in human natural language. In this section I will explain in particular the understanding of natural language and the generation of natural language. Chat bots can translate any human natural language regardless of whether it is used for response creation or problem analysis. Today I explained the various elements of the old chatbot, smart chatbot, and NLP. The last article in this series was about the use of chat bots in various situations The current article concerns NLP and future articles concern machine and deep learning. Another future project will include a programming language for developing chat bots

NLP: Natural Language Processing is a field of artificial intelligence that allows computers to analyze and understand human languages. Natural language processing (NLP) was developed to build software that generates and understands natural languages ​​so that users can talk naturally with their computers. NLP combines artificial intelligence with computational linguistics and computer science to process human or natural languages ​​and languages. The OpenNLP sentence detector works by detecting whether punctuation at the end of a sentence is marked. The statement here is defined as the longest blank prun character sequence between the two punctuation marks. The first and last sentence is an exception to this rule. The first non - whitespace character is taken as the beginning of the sentence, and the last non - whitespace character is taken as the end of the sentence.

Natural language generation (NLG) is a natural language processing task that generates natural languages ​​from machine expression systems such as knowledge bases and logical forms. When this formal expression is interpreted as a model of psychological expression, psycholinguists prefer term language generation. The NLG system is like a translator that converts data to natural language expressions. However, due to the natural expressive power of the natural language, the method of generating the final language is different from the method of the compiler. NLG has been widespread for a long time, but commercial NLG technology has been widely used most recently.