Titlebook: Arabic Language Processing: From Theory to Practice; 7th International Co Kamel Sma?li Conference proceedings 2019 Springer Nature Switzerl

Hemiplegia

GLOOM

Automatic Identification Methods on a Corpus of Twenty Five Fine-Grained Arabic Dialectswritten form especially in social media generates new needs in the area of Arabic dialect processing. For discriminating between dialects in a multi-dialect context, we use different approaches based on machine learning techniques. To this end, we explored several methods. We used a classification m

Coronation

Aggregation of Word Embedding and Q-learning for Arabic Anaphora Resolutionortant role in the construction of meaning. Thus, the resolution of the pronominal anaphors remains a very important task for most natural language processing applications. This paper presents a novel approach to resolve pronominal anaphora in Arabic texts. At first, we identify non-referential pron

思想靈活

LSTM-CNN Deep Learning Model for Sentiment Analysis of Dialectal Arabichort term memory (LSTM) with convolutional neural networks (CNN). The proposed model performs better than the two baselines. More specifically, the model achieves an accuracy between 81% and 93% for binary classification and 66% to 76% accuracy for three-way classification. The model is currently th

antidote

Sentiment Analysis of Code-Switched Tunisian Dialect: Exploring RNN-Based Techniquesncreasing number of recent research works on Sentiment Analysis and Opinion Mining are tackling the analysis of informal textual content, which includes language alternation, known as code-switching. To date, very little work has addressed in particular, the analysis social media of the Tunisian dia

Amorous

Optimum

On Arabic Stop-Words: A Comprehensive List and a Dedicated Morphological Analyzerop-words detection is a complex task due to Arabic morphology richness and to the nonexistence of a commonly accepted list. In this paper, we compile a new comprehensive Arabic stop-words list along a stop-words analyzer that combines that list with a machine-learning-based approach to get the most

王得到

ear-canal

障礙

Authorship Attribution of Arabic Articlesg content of varying quality. Many users prefer to keep themselves anonymous when posting material to the web, which resulted in more pieces of text: articles, blogs, essays and emails being published under assumed identities or have no known author. This may result in copyright and other legal issu