Name
Abstract | ||
|---|---|---|
Diglossia is a very common phenomenon in Arabic-speaking communities, where the spoken language is different from both Classical Arabic (CA) and Modern Standard Arabic (MSA). The spoken language is characterised as a number of dialects used in everyday communication as well as informal writing. In this paper, we highlight the lexical relation between the MSA and Dialectal Arabic (DA) in more than one Arabic region. We conduct a computational cross dialectal lexical distance study to measure the similarities and differences between dialects and the MSA. We exploit several methods from Natural Language Processing (NLP) and Information Retrieval (IR) like Vector Space Model (VSM), Latent Semantic Indexing (LSI) and Hellinger Distance (HD), and apply them on different Arabic dialectal corpora. We measure the overlap among all the dialects and compute the frequencies of the most frequent words in every dialect. The results are informative and indicate that Levantine dialects are very similar to each other and furthermore, that Palestinian appears to be the closest to MSA. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.procs.2018.10.456 | Procedia Computer Science |
Keywords | Field | DocType |
Diglossia,Lexical Distance,Vector Space Model,Latent Semantic Indexing,Hellinger Distance | Latent semantic indexing,Hellinger distance,Arabic,Classical Arabic,Computer science,Modern Standard Arabic,Diglossia,Artificial intelligence,Vector space model,Linguistics,Machine learning,Spoken language | Conference |
Volume | ISSN | Citations |
142 | 1877-0509 | 1 |
PageRank | References | Authors |
0.37 | 5 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kathrein Abu Kwaik | 1 | 1 | 0.70 |
| Motaz Saad | 2 | 39 | 5.21 |
| Stergios Chatzikyriakidis | 3 | 32 | 9.87 |
| Simon Dobnik | 4 | 78 | 4.02 |