An XML-Based Semantic Parser for Traditional Arabic
Parsing is an essential step in most of Natural Language Processing (NLP) systems. It is mainly concerned with determining the grammatical position of each word in a sentence, and how words can be put together to form a correct sentence according to a certain grammar. In this paper, we present the architecture of a bottom-up semantic parser for traditional Arabic language. This parser is based on a Unification Based Grammar (UBG) representation of traditional Arabic grammar, and is implemented using Extensible Markup Language (XML). Moreover, we provide a set of traditional Arabic grammar rules that can be used in future results.
Arabic Semantic parsing XML CFG EBNF NLP
Maha S. Al-Rabiah AbdulMalik Al-Salman
Computer Science Dept. King Saud University Riyadh, Saudi Arabia
国际会议
2010 4th International Universal Communication Symposium(第四届国际普遍交流学术研讨会 IUCS 2010)
北京
英文
311-318
2010-10-18(万方平台首次上网日期,不代表论文的发表时间)