Embedding Search for Quranic Texts based on Large Language Models

Mohammed Alqarni

#Semantic search #quranic texts #large language models #GPT 3

Word Embedding as a Semantic Feature Extraction Technique in Arabic Natural Language Processing: An Overview

Ghizlane Bourahouat,Manar Abourezq,Najima Daoudi

#ANLP #feature extraction #word embedding #BERT #transformers

Embedding Search for Quranic Texts based on Large Language Models

Mohammed Alqarni

#Semantic search #quranic texts #large language models #GPT 3

Word Embedding as a Semantic Feature Extraction Technique in Arabic Natural Language Processing: An Overview

Ghizlane Bourahouat,Manar Abourezq,Najima Daoudi

#ANLP #feature extraction #word embedding #BERT #transformers

Translation Rules for English to Hindi Machine Translation System: Homoeopathy Domain

Abstract: Rule based machine translation system embraces a set of grammar rules which are mandatory for the mapping of

#Machine translation # stemmer # PoS tagging # grammar rules # homoeopathy # corpus

Utilizing Corpus Statistics for Hindi Word Sense Disambiguation

#

An Artificial Neural Network Approach for

Department of Computer Science, COMSATS Institute o f Information Technology, Pakistan

#Sentence boundary identification # feed forwardneura l network # back propagation learning algorithm

237

Khalid Nahar1, Husni AlMuhtaseb1, Wasfi AlKhatib1, Moustafa Elshafei1, and Mansour Alghamdi2 1College of Computer Science and Engineering, King F ahd University of

# Phoneme transcription # data-driven # speech recogni tion # network lattices # arabic speech corpus

Prediction of Part of Speech Tags for Punjabi using Support Vector Machines

Abstract:Part-Of-Speech (POS)tagging is a task of assigning the appropriatePOSor lexical category to each word in a

#POS tagging # SVM #feature set #vectorization #machine learning # tagger # punjabi # indian languages

Texts Semantic Similarity Detection Based Graph

Department of Computer Engineering, Shahid Beheshti University, Iran

#

LARISMIRACL

#Anaphora resolution # Arabic language # corpus annota tion tool # pronominal anaphora # lexical anaphora

Ahmad AlTaani and Salah Abu AlRub

#Part-of-speech tagging # lexical analyzer # morpholog ical analyzer # Arabic language processing

Constructing a Lexicon of Arabic-English Named

Faculty of Sciences of Monastir, University of Monastir, Tunisia

#NER # named entity translation # parallel Arabic-English lexicon # DBpedia # linked data entities # parallel corpus # SMT

A Novel Approach for Sentiment Analysis of Punjabi Text using SVM

#Sentiment analysis # subjective lexicon # punjabi language # n-gram modeling # support vector machine

Semantic Similarity based Web Document Classification Using Support Vector Machine

Abstract: With the rapid growth of information on the World Wide Web (WWW), classification of web documents has become

#Document classification # text mining # SVM # latent semantic indexing

A New Approach for Arabic Named Entity Recognition

Abstract: A Named Entity Recognition (NER) plays a noteworthy role in Natural Language Processing (NLP) research, since

#Arabic NE # machine learning # web document # information retrieval # information extraction

A Web and Software-Based Approach Blending

Matin Abdullah1, Al-Sakib Pathan2, and Imad Al Shaikhli2

#Arabic # language # processing # qur’an # requirement # software # tools # user # web-based

Development of a Hindi Named Entity Recognition System without Using Manually Annotated

Abstract: Machine learning based approach for Named Entity Recognition (NER) requires sufficient annotated corpus to

#Natural language processing # machine learning # named entity recognition # resource scarcity # language transfer # semi-supervised learning

Evaluating Social Context in Arabic Opinion Mining Mohammed Al-Kabi1, Izzat Alsmadi2, Rawan Khasawneh3, and Heider Wahsheh4 1Computer Science Department, Zarqa University, Jordan 2Computer Science Department, University of New Haven, USA 3Computer Information Systems Department, Jordan University of Science and Technology, Jordan 4Computer Science Department, King Khaled University, Saudi Arabia

balanced benchmark corpus. To accomplish this study ten Arabic lexicons were constructed manually, and a new tool called

#Big data # social networks # sentiment analysis # Arabic text classification # and analysis # opinion mining