  Evaluation in natural language processing guides and promotes research on
models and methods. In recent years, new evalua-tion data sets and evaluation
tasks have been continuously proposed. At the same time, a series of problems
exposed by ex-isting evaluation have also restricted the progress of natural
language processing technology. Starting from the concept, com-position,
development and meaning of natural language evaluation, this article classifies
and summarizes the tasks and char-acteristics of mainstream natural language
evaluation, and then summarizes the problems and causes of natural language
pro-cessing evaluation. Finally, this article refers to the human language
ability evaluation standard, puts forward the concept of human-like machine
language ability evaluation, and proposes a series of basic principles and
implementation ideas for hu-man-like machine language ability evaluation from
the three aspects of reliability, difficulty and validity.
