Research Communication | Open Access
Volume 2019 | Communication ID 242
Volume 2019 | Communication ID 242
| Arabic Word Semantic similarity: a survey |
Nadia Bouhriz, Faouzia Benabbou, El Habib Benlahmar
Received |
Accepted |
Published |
Feb 01, 2019 |
Feb 26, 2019 |
Mar 01, 2019 |
Abstract: Word semantic similarity consists of calculating how similar two words are [1, 2]. It is one of the most important tasks of TALN, which is not an end in itself but it is an intermediate phase for many applications such as information retrieval, machine translation, sentiment analysis, [3] etc. To compute this similarity, traditional approaches, also known as knowledge-based approach, were based on the distance between words on taxonomy, in this category; we have edge-based calculation [4] or node-based calculation [5]. On the other hand, recent approaches use vector representation based on ...