Mapping Natural Language into Objects Using Dependency Grammar
Context processing is one of the essential subjects in the area of artificial intelligence. One of the branches of the contest processing is comprehension, interpretation and generation of the natural language. The comprehension and interpretation of natural language can be implemented using the lexical and syntactic analyses. Creating an object-based model of the text can facilitate the comprehension of the input data for the computer. We benefit from dependency grammar for mapping the natural languages into objects, taking into account the fact that some natural languages are free word order languages. This paper presents a method for converting the natural language into a set of objects to be stored in the computer. Applications of natural language processing can utilize the generated objects instead of natural language texts.
Artificial Intelligent Dependency Grammar Natural Language Processing Object-Oriented
Nasser Ghasem-Aghaee Iman Mokhtari Fard
Faculty of Engineering, Department of Computer Engineering, University of Sheikh Bahaei Isfahan, Ira Department of Computer Engineering University of Sheikh Bahaei Isfahan, Iran
国际会议
海口
英文
303-307
2011-07-15（万方平台首次上网日期，不代表论文的发表时间）