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APPLYING DISTRIBUTIONAL SEMANTICS TO ENHANCE CLASSIFYING EMOTIONS IN ARABIC TWEETS
2018
Figshare
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Most of the recent researches have been carried out to analyse sentiment and emotions found in English texts, where few studies have been conducted on Arabic contents, which have been focused on analysing ...
Moreover, due to the unstructured nature of Twitter contents, a general set of pre-processing techniques for Arabic texts was found which has resulted in increasing the accuracy of the six emotions' classes ...
A study was carried out by [24] which encouraged the use of SVM in the area of classifying and categorizing Arabic texts, consequently, a comparative study was conducted by [25] for comparing between ...
doi:10.6084/m9.figshare.6700805.v1
fatcat:aznenlb6ybf4pe6p5icaipn75m
Semantic Similarity Analysis for Corpus Development and Paraphrase Detection in Arabic
2020
˜The œinternational Arab journal of information technology
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Seeing the lack of resources in Arabic language publicly available, we developed a paraphrased corpus automatically. ...
any common words or the co-occurrence of words is rarely present. ...
In fact, paraphrase detection needs to assume that closed words in meaning should occur in similar pieces of text. This is by applying a semantic text analysis. ...
doi:10.34028/iajit/18/1/1
fatcat:wzjy5zbzmnhtdhjlkmqnjbotya
A Transformer-Based Neural Machine Translation Model for Arabic Dialects That Utilizes Subword Units
2021
Sensors
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Unknown Word (UNK) tokens represent the out-of-vocabulary words for the reason that NMT systems run with vocabulary that has fixed size. ...
The use of subword units and shared vocabulary within the Arabic dialect (the source language) and modern standard Arabic (the target language) enhances the behavior of the multi-head attention sublayers ...
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/s21196509
pmid:34640835
fatcat:7qtwlcdemfcynewowpummoy2tu
What is a modern Arabic dictionary?
2011
2011 International Conference on Innovations in Information Technology
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A major concern our research addresses is how to enhance the children's use of the Arabic dictionary to encourage them to independently learn more vocabulary. ...
Even though the first Arabic dictionary was developed almost 1500 years ago, the state of the art in Arabic dictionaries has not made much progress and falls far behind dictionaries for other languages ...
We would say that the child is in fact playing out his/her stories in this universe. ...
doi:10.1109/innovations.2011.5893870
fatcat:q6dbgc2qrffz7obj7demonicj4
A Study of the Performance of Embedding Methods for Arabic Short-Text Sentiment Analysis Using Deep Learning Approaches
2021
Journal of King Saud University: Computer and Information Sciences
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First, we extracted semantic features for Arabic short text at the word level and character level. ...
First, we extracted semantic features for Arabic short text at the word level and character level. ...
While this work has demonstrated potential approaches to sentiment classification for Arabic short text, there is room to improve the scope of this research. ...
doi:10.1016/j.jksuci.2021.07.011
fatcat:nhqt4em64vexhjhn4bizhsa6sq
The effect of integration electronic mind maps into Arabic language vocabulary's lecture on achievements of fifth-grade students in Jordan
2019
International Journal of Scientific Research and Management
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The study suggested the acceleration of the integration of mind maps in the Arabic language in several education stages. ...
The study was conducted to investigate the integration of electronic mind map within the Arabic vocabulary instruction for fifth-grade students at Jordan. ...
Researchers of this given study have selected the electronic mind mapping technique to search out what proportion would improve the Arabic vocabulary skills of fifth-grade students at Jordan. ...
doi:10.18535/ijsrm/v7i5.el03
fatcat:llonm7yzm5edhpti4manesyubi
Generating acceptable Arabic Core Vocabularies and Symbols for AAC users
2015
Proceedings of SLPAT 2015: 6th Workshop on Speech and Language Processing for Assistive Technologies
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With a requirement for a bi-lingual dictionary, a vocabulary list analyzer has been developed to evaluate similarities and differences in word frequencies from a range of word lists in order to collect ...
vocabularies. ...
In order to expand the list of 500 words a comparison was carried out against five other Arabic word frequency lists. ...
doi:10.18653/v1/w15-5116
dblp:conf/slpat/DraffanWHSZKIZB15
fatcat:6xzjrhzq4ng4vihr4kyleojhwu
Vocabulary Memorization Strategies among Arab Postgraduate English Foreign Language Learners
2016
Advances in Language and Literary Studies
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Writing words repeatedly a strategy from Reviewing well category was found to be the most strategy used by the Arab students in the Intensive English course while the Associate sounds of words with similar ...
Thus, this study investigates the types of vocabulary memorization strategies employed by the Arab students in the Intensive English course at UUM. ...
According to Read (2000, p. 1), vocabulary are words which form the foundation of language and represent the units of meaning out of which paragraphs, sentences and entire text are formulated. ...
doi:10.7575/aiac.alls.v.7n.5p.184
fatcat:lxzjg6iymzgyjo5i2wkk3xb7ta
Extracting Comparable Articles from Wikipedia and Measuring their Comparabilities
2013
Procedia - Social and Behavioral Sciences
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We extracted about 40K and 34K comparable articles from Wikipedia and Euro News respectively in three languages including Arabic, French, and English. ...
Experimental results of comparability measures show that our measure can capture the comparability of multilingual corpora and allow to retrieve articles from different language concerning the same topic ...
In Figure 3 , we measure the Out of Vocabulary (OOV) rate for all the presented word reduction techniques. ...
doi:10.1016/j.sbspro.2013.10.620
fatcat:cskob2lcnnhfxph45bx2eagkdy
BPE and CharCNNs for Translation of Morphology: A Cross-Lingual Comparison and Analysis
[article]
2018
arXiv
pre-print
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Neural Machine Translation (NMT) in low-resource settings and of morphologically rich languages is made difficult in part by data sparsity of vocabulary words. ...
We find that in most cases, using both BPE and a charCNN performs best, while in Hebrew, using a charCNN over words is best. ...
Introduction For efficiency reasons, standard neural machine translation models require a fixed vocabulary size, where rare words are treated as out-of-vocabulary. ...
arXiv:1809.01301v2
fatcat:b7o7krrl3bdpboahfdiermtks4
Arabic Phonetic Dictionaries for Speech Recognition
2009
Journal of Information Technology Research
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are essential components of large-vocabulary speaker-independent speech recognition systems. ...
This paper presents a rule-based technique to generate phonetic dictionaries for a large vocabulary Arabic speech recognition system. ...
We also created a set of tools that process the given Arabic text and generate all possible pronunciations for every word in the text. ...
doi:10.4018/jitr.2009062905
fatcat:3e2egfjxobduvgagerqpukiqgm
An Evaluation of the Accuracy of the Machine Translation Systems of Social Media Language
2021
International Journal of Advanced Computer Science and Applications
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These problems are mainly concerned with wrong equivalents, inappropriate additions and deletions, and transliteration for out-of-vocabulary (OOV) words, which are mostly due to the literal translation ...
This study attempts to address this gap through presenting an evaluation of the performance of MT output for vernacular or colloquial Arabic in the social media domain. ...
These out of vocabulary words always appear in the translated output as transliterated words. ...
doi:10.14569/ijacsa.2021.0120746
fatcat:ke65yudepvbxxkj23udmwtc3tm
Open-Lexicon Language Modeling Combining Word and Character Levels
2014
2014 14th International Conference on Frontiers in Handwriting Recognition
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We compare perplexities on all words from the test set and on in-lexicon and OOV words separately on corpora of English and Arabic text. ...
The character-level language model is redefined and renormalized to assign zero probability to words from a fixed vocabulary. ...
INTRODUCTION The problem of out-of-vocabulary (OOV) words has been a focus of an extensive study in the domain of language modeling and speech recognition. ...
doi:10.1109/icfhr.2014.64
dblp:conf/icfhr/KozielskiMDSN14
fatcat:v2bi2jrtv5h7rcq5jdr4nvwqou
Enhancing Question Retrieval in Community Question Answering Using Word Embeddings
2019
Procedia Computer Science
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Answers in English and Arabic to show the efficiency and generality of our proposed method. ...
Most existing methods measure the similarity between questions based on the bagof-words (BOWs) representation capturing no semantics between words. ...
We can say that questions represented by bag-of-embedded words can be captured more accurately than traditional bag-of-words models which cannot capture neither semantics nor positions in text. ...
doi:10.1016/j.procs.2019.09.203
fatcat:oqtxv7z3dva2bhq7mdxcq4axjy
Utilizing Technology in Arabic Teaching: Implementation of Media "Learning Aljazeera.Net" on Listening Skill Teaching at University of Darussalam Gontor
2021
Arabiyatuna: Jurnal Bahasa Arab
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This is because learning Arabic in Indonesia is an on-going process in search for the ideal form of learning. ...
This research aimed to get a clear picture of the application of these media in the learning process of Arabic teaching, especially Maharah Istima' at the University of Darussalam Gontor. ...
In this stage, students are required to use their language skills by producing the vocabulary they captured in the video. ...
doi:10.29240/jba.v5i2.2730
fatcat:w46ky4vkkbditmjo4qrl4clkti
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