NLP - Natural Language Processing is a solution to make computer understand conversation meanings. It can be also answered to the question which people bring up in Natural Languages such as Chinese or English. The goal is to build closely relationship between human beings and machinery to work highly on message transmission and comprehension. Human-machinery User Interface of Natural Language comprehensive system is widely used among Expert System, Knowledge Engineering, Information Searching and Automation Office.

Aibelive mainly task of Natural Language for HPLE includes Natural Languages Comprehension, Text To Speech, Speech Recognition, Natural Language Generation, Machine Translation, Question Answering, Information Retrieval, Information Extraction and Translation Technology. The mainly course contains Language Analyzing, Grammar Accessing, Knowledge Performance, Logic Inference, Language Fuzzy Determining, Conception Space and Interactive Imitation and so on.

CCSR - Constructive Concept Script Recognition is the only multi-deliberated knowledge structure of combining Ontology basic rule and Concept Script to make difference from general KR, Knowledge Representation. It must invest large numbers of manpower to build knowledge structure to meet general Ontology operating; however, people store up memory knowledge in complex network as multi-direction & dimension which is hard to describe with two-dimension. CCSR KR, Knowledge Representation, embeds Concept Script with grammar and meaning into meshed characteristic in order to cover the shortage of Ontology which can represent better performance of Cognitive Knowledge.

Concept Space can assist computer to concentrate on conversation meanings and its intention. Hence, it is becoming an important course to find out the solution building & applying this concept space.

Aibelive accesses existing Concept Space Characteristic in two solutions, Taxonomically & Non-taxonomically. Taxonomically is a vertical hierarchical Concept Space structure. Non-taxonomically is to build with Cluster and Network.