Name
Title | ||
|---|---|---|
Syntactic Parsing of Simple Arabic Nominal Sentence Using the NooJ Linguistic Platform |
Abstract | ||
|---|---|---|
Natural Language Processing (NLP) applications such as machine translation, question answering, knowledge extraction, and information retrieval require parsing process as an essential step. In this paper, we present a parser to analyze simple Arabic nominal sentences using the NooJ platform. Hence, we propose a well-classified NooJ dictionary that includes most syntactic, and semantic features. We also present the rule describing the Arabic sentence. Then, we implement the parser that recognizes, and annotates all possible grammatical structures of simple Arabic nominal sentence. We implement a set of transducers modeling Arabic lexical, and syntactic constraints, these constraints reduce parsing ambiguity. Our parser is tested on many sentences extracted from real texts. These experimental results show the effectiveness of the proposed parser for analyzing simple Arabic nominal sentences. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1007/978-3-319-73500-9_18 | Communications in Computer and Information Science |
Keywords | DocType | Volume |
Natural Language Processing,Arabic language parser,Syntactic analysis,NooJ linguistic platform | Conference | 782 |
ISSN | Citations | PageRank |
1865-0929 | 0 | 0.34 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Said Bourahma | 1 | 0 | 0.34 |
| Samir Mbarki | 2 | 5 | 8.36 |
| Mohammed Mourchid | 3 | 0 | 0.68 |
| Abdelaziz Mouloudi | 4 | 1 | 1.03 |