標題: Titlebook: Arabic Language Processing: From Theory to Practice; 7th International Co Kamel Sma?li Conference proceedings 2019 Springer Nature Switzerl [打印本頁] 作者: 方面 時間: 2025-3-21 20:05
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書目名稱Arabic Language Processing: From Theory to Practice網(wǎng)絡公開度學科排名
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書目名稱Arabic Language Processing: From Theory to Practice讀者反饋
書目名稱Arabic Language Processing: From Theory to Practice讀者反饋學科排名
作者: 秘密會議 時間: 2025-3-21 22:11 作者: 自作多情 時間: 2025-3-22 03:25
Automatic Identification Methods on a Corpus of Twenty Five Fine-Grained Arabic Dialectsethod based on symmetric Kullback-Leibler, and we experimented classical classification methods such as Naive Bayes Classifiers and more sophisticated methods like Word2Vec and Long Short-Term Memory neural network. We tested our approaches on a large database of 25 Arabic dialects in addition to MSA.作者: Nostalgia 時間: 2025-3-22 08:11
Sentiment Analysis of Code-Switched Tunisian Dialect: Exploring RNN-Based Techniqueslect, which is characterized both by a frequent occurring of code-switching and by a double script (Arabic and Latin) when written on the social media. Our study aims to explore and compare various classification models based on RNNs (Recurrent Neural Networks), precisely on LSTM (Long Short-Term Memory) neural networks.作者: 執(zhí) 時間: 2025-3-22 10:44 作者: ABYSS 時間: 2025-3-22 15:46 作者: 暗語 時間: 2025-3-22 17:26
Experimental Infections by Spirilla,IS (Chist-Era project), we collected a corpus of 1503 Arabic and 1874 English videos. These videos need to be aligned in order to compare their contents, that is why we propose several methods to make them comparable. Then the best one is selected to align them and to constitute the data-set necessary for the fine-grained sentiment analysis.作者: 無孔 時間: 2025-3-22 21:51 作者: forthy 時間: 2025-3-23 01:24 作者: prosperity 時間: 2025-3-23 06:54 作者: 膽大 時間: 2025-3-23 12:29 作者: murmur 時間: 2025-3-23 14:06 作者: 隱士 時間: 2025-3-23 18:30 作者: 不可磨滅 時間: 2025-3-24 02:02 作者: Devastate 時間: 2025-3-24 03:40 作者: 不規(guī)則 時間: 2025-3-24 07:47 作者: 從屬 時間: 2025-3-24 13:39 作者: bypass 時間: 2025-3-24 15:30
https://doi.org/10.1007/978-3-662-22225-6sources: Sebawai and Quranic Arabic Corpus. The lexicon is created both manually and automatically by using Hijazi morphology. We detail the methodology to build this lexicon and present results of an evaluation of the corpus formation process.作者: foliage 時間: 2025-3-24 21:45
Nudging: ein Erziehungsersatz?,del achieves an accuracy between 81% and 93% for binary classification and 66% to 76% accuracy for three-way classification. The model is currently the state of the art in applying DL methods to Sentiment Analysis in dialectal Arabic.作者: cathartic 時間: 2025-3-25 01:19
Generating a Lexicon for the Hijazi Dialect in Arabicsources: Sebawai and Quranic Arabic Corpus. The lexicon is created both manually and automatically by using Hijazi morphology. We detail the methodology to build this lexicon and present results of an evaluation of the corpus formation process.作者: 蔑視 時間: 2025-3-25 06:55
LSTM-CNN Deep Learning Model for Sentiment Analysis of Dialectal Arabicdel achieves an accuracy between 81% and 93% for binary classification and 66% to 76% accuracy for three-way classification. The model is currently the state of the art in applying DL methods to Sentiment Analysis in dialectal Arabic.作者: VAN 時間: 2025-3-25 09:42
Arabic Language Processing: From Theory to Practice7th International Co作者: Torrid 時間: 2025-3-25 12:11 作者: 護身符 時間: 2025-3-25 18:23 作者: Preamble 時間: 2025-3-25 21:00 作者: 桉樹 時間: 2025-3-26 03:45
Negation in Standard Arabic Revisited: A Corpus-Based Metaoperational Approachs on one hand, and to the binary micro-system Phase 1/Phase 2 on another, the study suggests a redefinition of the status, scope and values of six negators – . and . – as well as their counterparts in the affirmative pole.作者: languor 時間: 2025-3-26 06:14
Skew Correction and Text Line Extraction of Arabic Historical Documentscorrection technique is proposed beside a space following algorithm which is performed to separate lines from each other. The segmentation method is applied on four representations of the text image, including an original binary image and other three representations obtained by transforming the inpu作者: AUGER 時間: 2025-3-26 09:47 作者: Climate 時間: 2025-3-26 15:48 作者: travail 時間: 2025-3-26 17:39
https://doi.org/10.1007/978-3-662-42028-7nts using a variety of acoustic features extracted by .. Some algorithms of classification are implemented with the . toolkit. Low-level audio features and the corresponding delta features are utilized. Statistical functionals are applied to each of the features and delta features. The best classifi作者: Itinerant 時間: 2025-3-26 21:45
Verhalten bei Belastung mit einem Speicher,rize the obtained sequence of sentences. We evaluate objectively and subjectively our approach. Results show that the ASR system performs well in terms of Word Error Rate on MSA, but needs to be adapted for dealing with Algerian dialect data. The subjective evaluation shows the same behaviour than A作者: 老人病學 時間: 2025-3-27 02:41
Sozialarbeit als ?bescheidene“ Profession3.0. It provides the semantic similarity measures between antecedent word vectors and pronoun context vectors. To combine Q-learning and Word2Vec results, we use a ranking aggregation method. The resolution system is evaluated on literary, journalistic and technical manual texts. Its precision rate 作者: Kindle 時間: 2025-3-27 07:39 作者: Petechiae 時間: 2025-3-27 10:36 作者: 群居動物 時間: 2025-3-27 16:19 作者: LAPSE 時間: 2025-3-27 20:16 作者: 議程 時間: 2025-3-28 00:11 作者: 首創(chuàng)精神 時間: 2025-3-28 03:22
Natural Arabic Language Resources for Emotion Recognition in Algerian Dialectmotions and affect in speech and language which will be made available to the research community. It is high time to have spontaneous data representative of the Modern Standard Arabic (MSA) and its dialects. The database consists of audio-visual recordings of some Arabic TV talk shows. Our choice co作者: Accolade 時間: 2025-3-28 09:22 作者: obviate 時間: 2025-3-28 10:58
A Fine-Grained Multilingual Analysis Based on the Appraisal Theory: Application to Arabic and Englisppraisal theory is used to analyze the content of the videos that concern the same topic. In general, the methods devoted to sentiment analysis concern the study of the polarity of a text or an utterance. The appraisal approach goes further than the basic polarity sentiments and consider more detail作者: Hemiplegia 時間: 2025-3-28 16:35 作者: GLOOM 時間: 2025-3-28 18:54
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作者: Coronation 時間: 2025-3-28 23:52
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作者: 思想靈活 時間: 2025-3-29 05:41
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作者: antidote 時間: 2025-3-29 09:05
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作者: Amorous 時間: 2025-3-29 13:11 作者: Optimum 時間: 2025-3-29 15:56
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 作者: 王得到 時間: 2025-3-29 21:08 作者: ear-canal 時間: 2025-3-30 00:34 作者: 障礙 時間: 2025-3-30 07:09
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作者: 強制性 時間: 2025-3-30 10:43
Keyphrase Extraction from Modern Standard Arabic Texts Based on Association Rulesxts and are useful in many tasks of Information Retrieval, Text mining and Natural Language Processing. Their extraction is a challenging problem to which researchers have an active interest. In this paper, an approach based on the Association Rules model is described for extracting keyphrases from 作者: 神經(jīng) 時間: 2025-3-30 15:12
HPSG Grammar Supporting Arabic Preference Nouns and Its TDL Specificationphological processing to generate automatically the derivatives of nouns and verbs from canonical forms. This treatment is an important step in Natural Language Processing (NLP). It represents a pretreatment for syntactic analyses and contributes in the construction of extensional lexicon. In this p作者: 生銹 時間: 2025-3-30 19:04
https://doi.org/10.1007/978-3-030-32959-4artificial intelligence; computational linguistics; Natural Language Processing (NLP); semantics; signal作者: 圖畫文字 時間: 2025-3-30 21:37 作者: Foment 時間: 2025-3-31 03:17
https://doi.org/10.1007/978-3-662-22225-6dialect and Modern Standard Arabic. We annotate articles and tweets using recruited native speakers. We create a lexicon of Hijazi adapted from two resources: Sebawai and Quranic Arabic Corpus. The lexicon is created both manually and automatically by using Hijazi morphology. We detail the methodolo作者: Gustatory 時間: 2025-3-31 07:15 作者: 引起 時間: 2025-3-31 11:24
Handbuch der Experimentellen Pharmakologien and morphological richness contributing to great sparsity that could affect embedding quality. This work presents a rigorous study that compares different types of Arabic-specific embeddings. We evaluate them with 2 neural architectures: one based on convolutional neural network (CNN) and the othe作者: 憤慨一下 時間: 2025-3-31 13:58
Experimental Infections by Spirilla,ppraisal theory is used to analyze the content of the videos that concern the same topic. In general, the methods devoted to sentiment analysis concern the study of the polarity of a text or an utterance. The appraisal approach goes further than the basic polarity sentiments and consider more detail作者: 真實的人 時間: 2025-3-31 18:47 作者: 豐富 時間: 2025-3-31 23:39
