[PDF] Top 20 Arabic Dialect Identification in Speech Transcripts
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Arabic Dialect Identification in Speech Transcripts
... on Arabic dialect identification is related to several studies published on computational methods to discriminate between pairs or groups of similar languages, language varieties and ... See full document
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Spoken Arabic Dialect Identification Using Phonotactic Modeling
... Automatic Speech Recognition (ASR) systems for recognizing MSA with low error rates (typically trained on Broadcast News), these rec- ognizers fail when a native Arabic speaker speaks in his/her regional ... See full document
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ADIDA: Automatic Dialect Identification for Arabic
... In the literature, a number of studies have been exploring DID using several datasets, rang- ing from user-generated content (i.e., blogs, so- cial media posts) (Sadat et al., 2014), speech tran- scripts (Biadsy ... See full document
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A Character Level Convolutional BiLSTM for Arabic Dialect Identification
... Dialect identification is a sub-domain of language identification, a task that aims to differentiate be- tween different languages given a sample of spo- ken or written ...and dialect identi- ... See full document
5
Arabic Dialect Identification for Travel and Twitter Text
... general, Arabic (language), refers to a wide spectrum of native languages used in Middle East and North ...of Arabic speakers differ with each other and with Modern Standard Arabic ...automatic ... See full document
5
Birzeit Arabic Dialect Identification System for the 2018 VarDial Challenge
... the Arabic Dialect Identification (ADI) which addresses the multi-dialectal challenge in spoken Arabic in broadcast news ...large-vocabulary speech recognition ... See full document
8
Arabic Dialect Identification with Deep Learning and Hybrid Frequency Based Features
... Dialect identification is the task of identifying the dialect of a particular segment of speech or text of any size ...of Arabic Dialect identifica- tion has attracted more ... See full document
5
The SMarT Classifier for Arabic Fine Grained Dialect Identification
... Standard Arabic and Egyptian Dialectal Arabic (Elfardy and Diab, ...the identification of the Egyptian dialect was based on lexical, morphological and phono- logical ...improve dialect ... See full document
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LIUM MIRACL Participation in the MADAR Arabic Dialect Identification Shared Task
... the dialect of a given sen- tence is a fundamental step for various applica- tions such as machine translation, speech recog- nition and multiple Natural Language Processing (NLP) related ...the ... See full document
5
Neural Network Architectures for Arabic Dialect Identification
... Language Identification (Ganapathy et ...but speech data are also sequences where earlier or later information can provide context for the current ... See full document
9
Deep Models for Arabic Dialect Identification on Benchmarked Data
... on Arabic dialect identification has focused on both spoken (Ali et ...of speech tags and lexical features based on the AIDA toolkit (Elfardy et ... See full document
12
UnibucKernel: An Approach for Arabic Dialect Identification Based on Multiple String Kernels
... Automatic Speech Recognition (ASR) tran- scripts of Arabic speech collected from the Broadcast News ...Standard Arabic (MSA) and 4 Arabic dialects, namely Egyptian (EGY), Gulf (GLF), ... See full document
10
Exploring Twitter as a Source of an Arabic Dialect Corpus
... The Arabic language is one of the world's most widely-spoken ...the Arabic language consists of multiple variants, some formal and some informal ...Standard Arabic (MSA) is a formal variant in the ... See full document
8
Classifying Arabic dialect text in the Social Media Arabic Dialect Corpus (SMADC)
... and speech; most spo- ken Arabic dialect research focuses on phonolog- ical variation and acoustic features, based on au- dio recordings and listening to dialect ...of Arabic di- alects ... See full document
9
Character Level Convolutional Neural Network for Arabic Dialect Identification
... a speech recognition system which yield to a classifier stronger than classifiers that use acoustic-only or lexical-only ...transcribed speech in MSA and in four dialects (Ali et ...ASR transcripts ... See full document
6
Building a Speech Corpus based on Arabic Podcasts for Language and Dialect Identification
... prosodic speech information, for intra-country dialects has been ...Algerian Arabic Dialec- tal ...English, Arabic and Kabyl 1 , has been addressed using Voxforge speech corpus 2 ... See full document
5
Sentence Level Dialect Identification in Arabic
... The Arabic language exists in a state of Diglos- sia (Ferguson, 1959) where the standard form of the language, Modern Standard Arabic (MSA) and the regional dialects (DA) live side-by-side and are closely ... See full document
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AIDA2: A Hybrid Approach for Token and Sentence Level Dialect Identification in Arabic
... Dialect Identification in Arabic has recently gained interest among Arabic NLP ...in speech through acoustic sig- ...Level Dialect Identification” while the second is ... See full document
10
Arabic Language WEKA-Based Dialect Classifier for Arabic Automatic Speech Recognition Transcripts
... classify Arabic dialects in shared task by using WEKA data analytic tool and SMO machine learning algorithm after testing variants of SMO with different tokenizers, IDF, TF, WC values, and comparing results tested ... See full document
8
Arabic Dialect Identification Using iVectors and ASR Transcripts
... We presented three systems trained to identified MSA and four Arabic dialects using iVectors and ASR transcripts. The best results were obtained by a meta-classifier achieving 71.7% accuracy and ranking ... See full document
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