. . . Therefore, once spreading in a voice group, every trend continues and flows in the same direction by certain children. (Manley, 1930). Because the children's words are slightly different from their parents, the languages of these different areas have changed for each generation. After all, speakers in one place can not understand the speaker in another place. At that time their system was no longer Indo - Indo - European dialect, but the language itself.
The history of the story can go back to the study of natural language understanding in the 1960s and 1970s. Humans talk about computers, and through artificial intelligence they should be able to talk. At that time, corpus which can be easily used by researchers who understand natural language included all kinds of storytelling such as stories for children, fairy tales, news articles and so on. Early researchers of natural language understanding studied the understanding of the story, the most famous story generation system is TALESPIN (1977) which generates stories by turning over the story understanding system. It uses concept-dependent theory, what is called abstraction of natural language. It is thought to be a system of story generation systems released in the 1970s and 1980s: writers, universe, birds and so on.
Natural languages include languages humans use for communication today. English, French, Spanish and so on. What makes computers hard to understand human language? In general, a conversational word is synonymous with another word, meaning changes depending on the focus, some interpretation of pronunciation, grammar incorrect, it may be difficult to delimit words in the text . End position) is the next place to start. English words are separated by spaces, but in other languages such as Japanese and Arabic you simply need to locate the word segmentation by reading. This is a long list, but surprisingly, there are many challenges in identifying natural languages. So, how does the computer understand sentences?