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A Multi-Dialect, Multi-Genre Corpus of Informal Written Arabic
... a multi-dialect, multi-genre, human an- notated corpus of dialectal Arabic with data obtained from both online newspaper commentary and ...dialectal Arabic corpora (Zaidan ... See full document
5
Large Multi lingual, Multi level and Multi genre Annotation Corpus
... massive informal and unstructured ...a multi- dialect and multi-genre corpus of informal text via Amazon’s Mechanical Turk ...attachment corpus of informal ... See full document
8
AWATIF: A Multi-Genre Corpus for Modern Standard Arabic Subjectivity and Sentiment Analysis
... forum corpus that pertains to different vari- eties of Arabic, including ...the corpus to exclude non-MSA ...majority dialect affiliation, ...the dialect and ... See full document
8
Sentiment Analysis of Tunisian Dialects: Linguistic Ressources and Experiments
... TSAC corpus. The collected corpus is characterized by the use of informal and non-standard vocabulary such as repeated letters and non-standard abbreviations, the presence of onomatopoeia ...in ... See full document
7
Machine Translation Experiments on PADIC: A Parallel Arabic DIalect Corpus
... the Arabic dialects which are used by a huge number of people only in daily oral ...some Arabic dialects are writ- ten by using Latin graphemes by a slice of Ara- bic ...that Arabic language was not ... See full document
9
Arabic dialects annotation using an online game
... Standard Arabic (MSA) is the formal written stan- dard across the Arab world; but there is an increasing use of Arabic dialect in a range of informal text ...translation, ... See full document
6
SANA: A Large Scale Multi-Genre, Multi-Dialect Lexicon for Arabic Subjectivity and Sentiment Analysis
... Several approaches have been employed for learning an ex- pression’s prior polarity. Some of these approaches depend on expanding the initial seed set using semantic relations housed in lexical databases. For example, ... See full document
8
Arap Tweet: A Large Multi Dialect Twitter Corpus for Gender, Age and Language Variety Identification
... on dialect identification such as in (Habash et ...Dialectal Arabic (DA) is becoming the language of informal online communication in emails, chats, SMS and in social media, we witnessed several ... See full document
7
A Pilot Study on Arabic Multi Genre Corpus Diacritization
... in written Arabic script adds another layer of ambiguity which is an artifact of the ...of written text has a significant im- pact on Arabic NLP ...diacritized multi-genre ... See full document
9
The MADAR Arabic Dialect Corpus and Lexicon
... language corpus containing tourism-related sentences similar to those that are usually found in phrasebooks for tourists going ...This corpus is an attractive resource to use for different reasons: (i) it ... See full document
10
Exploring Twitter as a Source of an Arabic Dialect Corpus
... and written of the world's population and each language has different dialects, which are divided mainly by their geographical ...The Arabic language is one of the world's most widely-spoken ...the ... See full document
8
Unsupervised Word Segmentation Improves Dialectal Arabic to English Machine Translation
... Dialectal Arabic NLP (Section ...different Arabic dialects in comparison with and with a focus on Qatari Arabic (Section ...other Arabic dialects in a QA-EN SMT system effectively (Section ... See full document
10
Multi document multilingual summarization corpus preparation, Part 1: Arabic, English, Greek, Chinese, Romanian
... The corpus generated throughout the MultiLing corpus preparation provides a benchmark dataset for multilingual ...multilingual, multi- document summarization ... See full document
12
Sentence and Clause Level Emotion Annotation, Detection, and Classification in a Multi Genre Corpus
... been applied with success to emotion classification in the literature (Aman and Szpakowicz, 2007; Mishne, 2005; Yan, 2014; Das and Bandyopadhyay, 2010; Mohammad, 2012; ¨ Ozbal and Pighin, 2013). We experimented with ... See full document
6
KGPChamps at SemEval 2019 Task 3: A deep learning approach to detect emotions in the dialog utterances
... Computational studies: From last two decades detecting and analysis of emotion in texts and social media content has grabbed significant at- tention of computational linguists and social sci- entists. (Litman and ... See full document
6
Investigating variation in Arabic intonation : : the case for a multi-level corpus approach
... The 69 read speech sentences were ‘double - blind’ transcribed by two transcribers in the first instance (the author and a second trained linguist who is a native speaker of Arabic). Inter-transcriber agreement in ... See full document
46
Knowledge lean projection of coreference chains across languages
... The goal of this study was to explore to what ex- tent the coreference projection task can be tack- led with a decidedly “light weight” approach. In contrast to earlier work, we used a well-known, standard word alignment ... See full document
9
Discrimination between Similar Languages, Varieties and Dialects using CNN and LSTM based Deep Neural Networks
... classifying Arabic dialects, Elfardy and Diab (2013), Malmasi and Dras (2014), Zaidan and Callison-Burch (2014), Darwish et ...for Arabic dialect identification without the need for expensive feature ... See full document
10
Toward a Web based Speech Corpus for Algerian Dialectal Arabic Varieties
... Standard Arabic, very few at- tempts have considered building Arabic speech corpora for ...for Arabic dialects of Egypt, Jordan, Mo- rocco, Tunisia, and United Arab Emirates coun- ... See full document
9
A Comparison of Character Neural Language Model and Bootstrapping for Language Identification in Multilingual Noisy Texts
... MSA, Arabic varieties are neither well-documented nor well-studied, and they are classified as under-resourced ...of written texts for Algerian ...gerian Arabic and other Arabic varieties also ... See full document
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