Name
Abstract | ||
|---|---|---|
In this paper, we provide for the linguists a method to facilitate the creation of a standard Arabic historical dictionary in order to save the lost period and to be up to date with other languages. In this method, we propose a platform of Automatic Natural Language Processing (ANLP) tools which permits the automatic indexing and research from a corpus of Arabic texts. The indexation is applied after some pretreatments: segmentation, normalization, and filtering, morphological analysis. The prototype that we've developed for the generation of standard Arabic historical dictionary permits to extract contexts from the entered corpus and to assign meaning from the user. The evaluation of our system shows that the results are reliable. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1007/978-3-319-41754-7_21 | Lecture Notes in Computer Science |
Keywords | Field | DocType |
Historical dictionary,Platform,ANLP,Arabic,Corpus,Indexation,Morphological analyzer,Stemming | Normalization (statistics),Arabic,Segmentation,Computer science,Filter (signal processing),Artificial intelligence,Natural language processing,Automatic indexing | Conference |
Volume | ISSN | Citations |
9612 | 0302-9743 | 0 |
PageRank | References | Authors |
0.34 | 2 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Faten Khalfallah | 1 | 0 | 0.34 |
| Handi Msadak | 2 | 0 | 0.34 |
| Chafik ALOULOU | 3 | 4 | 6.77 |
| lamia hadrich belguith | 4 | 143 | 42.13 |