ASDA : Analyseur Syntaxique du Dialecte Alg{\'e}rien dans un but d'analyse s{\'e}mantique

TL;DR

This paper introduces ASDA, a syntactic analyzer for the Algerian dialect designed to facilitate semantic processing tasks like sentiment analysis and translation by labeling grammatical components of dialectal terms.

Contribution

The paper presents a novel parser for the Algerian dialect that labels terms with grammatical information, aiding semantic analysis and translation.

Findings

Constructed a labeling table for dialectal terms

Enabled POS tagging for Algerian dialect

Facilitated sentiment analysis and translation

Abstract

Opinion mining and sentiment analysis in social media is a research issue having a great interest in the scientific community. However, before begin this analysis, we are faced with a set of problems. In particular, the problem of the richness of languages and dialects within these media. To address this problem, we propose in this paper an approach of construction and implementation of Syntactic analyzer named ASDA. This tool represents a parser for the Algerian dialect that label the terms of a given corpus. Thus, we construct a labeling table containing for each term its stem, different prefixes and suffixes, allowing us to determine the different grammatical parts a sort of POS tagging. This labeling will serve us later in the semantic processing of the Algerian dialect, like the automatic translation of this dialect or sentiment analysis