12 research outputs found

    Infrared study of hydrogen bonding of methanol in the liquid phase

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    The V(_s)(OH) band of methanol in binary system has been studied by using infrared spectroscopy, over the whole concentration range between 0.01 - 0.7 methanol mole fraction. The aim of this study is to analyze this band which is very complicated, due to overlapping between its band components, and to correlate the results to the possible underlying equilibrium. Also the change in the V(_s)(OE) band shape across the concentration range, imposed the necessity of studying the V(-s)(OH) of methanol in non-polar solvent at a very low concentrations (0.0049 to 0.0246 mol/dm(^3)) in order to identify the existing varieties of methanol hydrogen bonded species, as well as the monomer. A study of the V(_s)(OH) for methanol in the ternary system (CH(_3)OH/CH(_3)CN/CCL(_4)) was undertaken, in order to defferentiate the band components of the hydrogen bonded complexes formed from methanol and acetonitrile molecules, from the hydrogen bonded methanol aggregates. This study was carried out in a concentration range of 0.0044 to 0.0177 mol/dm(^3). For the binary system, because of the complexes of the bands, a band fitting programs were used as a means of estimating the number of bands present, their positions and band shapes of each component. As a result, this study has shown that the I.R. data for methanol in acetonitrile band fitting model contained: monomer, dimer, 1:1 and 2:1 complexes, trimer, tetramer and pentamer species

    A survey on author profiling, deception, and irony detection for the Arabic language

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    "This is the peer reviewed version of the following article: [FULL CITE], which has been published in final form at [Link to final article using the DOI]. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving."[EN] The possibility of knowing people traits on the basis of what they write is a field of growing interest named author profiling. To infer a user's gender, age, native language, language variety, or even when the user lies, simply by analyzing her texts, opens a wide range of possibilities from the point of view of security. In this paper, we review the state of the art about some of the main author profiling problems, as well as deception and irony detection, especially focusing on the Arabic language.Qatar National Research Fund, Grant/Award Number: NPRP 9-175-1-033Rosso, P.; Rangel-Pardo, FM.; Hernandez-Farias, DI.; Cagnina, L.; Zaghouani, W.; Charfi, A. (2018). A survey on author profiling, deception, and irony detection for the Arabic language. Language and Linguistics Compass. 12(4):1-20. https://doi.org/10.1111/lnc3.12275S120124Abuhakema , G. Faraj , R. Feldman , A. Fitzpatrick , E. 2008 Annotating an arabic learner corpus for error Proceedings of The sixth international conference on Language Resources and Evaluation, LREC 2008Adouane , W. Dobnik , S. 2017 Identification of languages in algerian arabic multilingual documents Proceedings of The Third Arabic Natural Language Processing Workshop (WANLP)Adouane , W. Semmar , N. Johansson , R 2016a Romanized berber and romanized arabic automatic language identification using machine learning Proceedings of the Third Workshop on NLP for Similar Languages, Varieties and Dialects; COLING 53 61Adouane , W. Semmar , N. Johansson , R. 2016b ASIREM participation at the discriminating similar languages shared task 2016 Proceedings of the Third Workshop on NLP for Similar Languages, Varieties and Dialects; COLING 163 169Adouane , W. Semmar , N. Johansson , R. Bobicev , V. 2016c Automatic detection of arabicized berber and arabic varieties Proceedings of the Third Workshop on NLP for Similar Languages, Varieties and Dialects; COLING 63 72Alfaifi , A. Atwell , E. Hedaya , I. 2014 Arabic learner corpus (ALC) v2: A new written and spoken corpus of Arabic learnersAlharbi , K. 2015 The irony volcano explodes black comedyAli , A. Bell , P. Renals , S. 2015 Automatic dialect detection in Arabic broadcast speechAlmeman , K. Lee , M. 2013 Automatic building of Arabic multi dialect text corpora by bootstrapping dialect words 1 6Aloshban , N. Al-Dossari , H. 2016 A new approach for group spam detection in social media for Arabic language (AGSD) 20 23Al-Sabbagh , R. Girju , R. 2012 YADAC: Yet another dialectal Arabic corpusAlsmearat , K. Al-Ayyoub , M. Al-Shalabi , R. 2014 An extensive study of the bag-of-words approach for gender identification of Arabic articlesAlsmearat , K. Shehab , M. Al-Ayyoub , M. Al-Shalabi , R. Kanaan , G. 2015 Emotion analysis of Arabic articles and its impact on identifying the authors genderArfath , P. Al-Badrashiny , M. Diab , M. El Kholy , A. Eskander , R. Habash , N. Pooleery , M. Rambow , O. Roth , R. M. 2014 MADAMIRA: A fast, comprehensive tool for morphological analysis and disambiguation of ArabicBarbieri , F. Basile , V. Croce , D. Nissim , M. Novielli , N. Patti , V. 2016 Overview of the Evalita 2016 sentiment polarity classification taskBarbieri , F. Saggion , H 2014 Modelling irony in twitter 56 64Barbieri , F. Saggion , H. Ronzano , F 2014 Modelling sarcasm in Twitter, a novel approachBasile , V. Bolioli , A. Nissim , M. Patti , V. Rosso , P. 2014 Overview of the Evalita 2014 sentiment polarity classification taskBlanchard, D., Tetreault, J., Higgins, D., Cahill, A., & Chodorow, M. (2013). TOEFL11: A CORPUS OF NON-NATIVE ENGLISH. ETS Research Report Series, 2013(2), i-15. doi:10.1002/j.2333-8504.2013.tb02331.xBosco, C., Patti, V., & Bolioli, A. (2013). Developing Corpora for Sentiment Analysis: The Case of Irony and Senti-TUT. IEEE Intelligent Systems, 28(2), 55-63. doi:10.1109/mis.2013.28Bouamor , H. Habash , N. Salameh , M. Zaghouani , W. Rambow , O. Abdulrahim , D. Oflazer , K. 2018 The MADAR Arabic Dialect Corpus and LexiconBouchlaghem , R. Elkhlifi , A. Faiz , R. 2014 Tunisian dialect Wordnet creation and enrichment using web resources and other Wordnets 104 113 https://doi.org/10.3115/v1/W14-3613Boujelbane , R. BenAyed , S. Belguith , L. H. 2013 Building bilingual lexicon to create dialect Tunisian corpora and adapt language modelCagnina L. 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Automatic Detection of Verbal Deception. Synthesis Lectures on Human Language Technologies, 8(3), 1-119. doi:10.2200/s00656ed1v01y201507hlt029Franco-Salvador, M., Rangel, F., Rosso, P., Taulé, M., & Antònia Martít, M. (2015). Language Variety Identification Using Distributed Representations of Words and Documents. Experimental IR Meets Multilinguality, Multimodality, and Interaction, 28-40. doi:10.1007/978-3-319-24027-5_3Ghosh , A. Li , G. Veale , T. Rosso , P. Shutova , E. Barnden , J. Reyes , A. 2015 Semeval-2015 task 11: Sentiment analysis of figurative language in twitter 470 478Graff , D. Maamouri , M. 2012 Developing LMF-XML bilingual dictionaries for colloquial Arabic dialects 269 274Habash , N. Khalifa , S. Eryani , F. Rambow , O. Abdulrahim , D. Erdmann , A. Saddiki , H. 2018 Unified Guidelines and Resources for Arabic Dialect OrthographyHabash , N. Rambow , O. Kiraz , G. 2005 Morphological analysis and generation for Arabic dialectsHaggan, M. (1991). Spelling errors in native Arabic-speaking English majors: A comparison between remedial students and fourth year students. System, 19(1-2), 45-61. doi:10.1016/0346-251x(91)90007-cHassan , H. Daud , N. M. 2011 Corpus analysis of conjunctions: Arabic learners difficulties with collocationsHayes-Harb, R. (2006). Native Speakers of Arabic and ESL Texts: Evidence for the Transfer of Written Word Identification Processes. TESOL Quarterly, 40(2), 321. doi:10.2307/40264525Hernández-Farías, I., Benedí, J.-M., & Rosso, P. (2015). Applying Basic Features from Sentiment Analysis for Automatic Irony Detection. Lecture Notes in Computer Science, 337-344. doi:10.1007/978-3-319-19390-8_38Hernández Fusilier, D., Montes-y-Gómez, M., Rosso, P., & Guzmán Cabrera, R. (2015). Detecting positive and negative deceptive opinions using PU-learning. Information Processing & Management, 51(4), 433-443. doi:10.1016/j.ipm.2014.11.001Karoui , J. Benamara , F. Moriceau , V. Aussenac-Gilles , N. Hadrich Belguith , L. 2015 Towards a contextual pragmatic model to detect irony in tweetsKaroui , J. Zitoune , F. B. Moriceau , V. 2017 SOUKHRIA: Towards an irony detection system for Arabic in social mediaLjubesic , N. Mikelic , N. Boras , D. 2007 Language identification: How to distinguish similar languagesLópez-Monroy, A. P., Montes-y-Gómez, M., Escalante, H. J., Villaseñor-Pineda, L., & Stamatatos, E. (2015). Discriminative subprofile-specific representations for author profiling in social media. Knowledge-Based Systems, 89, 134-147. doi:10.1016/j.knosys.2015.06.024Magdy, W., Darwish, K., & Weber, I. (2016). #FailedRevolutions: Using Twitter to study the antecedents of ISIS support. First Monday. doi:10.5210/fm.v21i2.6372Maier , W. Gomez-Rodriguez , C. 2014 Language variety identification in Spanish tweetsMalmasi , S. Dras , M. 2014 Arabic native language identificationMechti , S. Abbassi , A. Belguith , L. H. Faiz , R. 2016 An empirical method using features combination for Arabic native language identificationMukherjee, A., Liu, B., & Glance, N. (2012). Spotting fake reviewer groups in consumer reviews. Proceedings of the 21st international conference on World Wide Web - WWW ’12. doi:10.1145/2187836.2187863Proceedings of the EMNLP’2014 Workshop on Language Technology for Closely Related Languages and Language Variants. (2014). doi:10.3115/v1/w14-42Pennebaker , J. W. Chung , C. K. Ireland , M. E. Gonzales , A. L. Booth , R. J. 2007 The development and psychometric properties of LIWC2007 http://www.liwc.net/LIWC2007LanguageManual.pdf http://liwc.netPotthast , M. Rangel , F. Tschuggnall , M. Stamatatos , E. Rosso , P. Stein , B. 2017 Overview of PAN'17 G. Jones 10456 Springer, ChamRandall M. Groom , N. 2009 The BUiD Arab learner corpus: a resource for studying the acquisition of l2 English spellingRangel , F. Rosso , P. 2015 On the multilingual and genre robustness of emographs for author profiling in social media 274 280 Springer-Verlag, LNCSRangel, F., & Rosso, P. (2016). On the impact of emotions on author profiling. Information Processing & Management, 52(1), 73-92. doi:10.1016/j.ipm.2015.06.003Rangel , F. Rosso , P. Koppel , M. Stamatatos , E. Inches , G. 2013 Overview of the author profiling task at PAN 2013 P. Forner R. Navigli D. TufisRangel , F. Rosso , P. Potthast , M. Stein , B. Daelemans , W. 2015 Overview of the 3rd author profiling task at PAN 2015 L. Cappellato N. Ferro G. Jones E. San JuanRangel , F. Rosso , P. Verhoeven , B. Daelemans , W. Potthast , M. Stein , B. 2016 Overview of the 4th author profiling task at PAN 2016: Cross-genre evaluationsRefaee , E. Rieser , V. 2014 An Arabic twitter corpus for subjectivity and sentiment analysis 2268 2273Reyes, A., Rosso, P., & Buscaldi, D. (2012). From humor recognition to irony detection: The figurative language of social media. 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Tokyo University of Foreign Studies, 27-46. doi:10.1075/tufs.4.07tonWahsheh , H. A. Al-Kabi , M. N. Alsmadi , I. M. 2013b SPAR: A system to detect spam in Arabic opinionsZaghouani , W. Charfi , A. 2018a Arap-Tweet: A Large Multi-Dialect Twitter Corpus for Gender, Age and Language Variety Identification Miyazaki, JapanZaghouani , W. Charfi , A. 2018b Guidelines and Annotation Framework for Arabic Author Profiling Miyazaki, JapanZaghouani , W. Mohit , B. Habash , N. Obeid , O. Tomeh , N. Rozovskaya , A. Farra , N. Alkuhlani , S. Oflazer , K. 2014 Large scale Arabic error annotation: Guidelines and frameworkZaghouani , W. Habash , N. Bouamor , H. Rozovskaya , A. Mohit , B. Heider , A. Oflazer , K. 2015 Correction annotation for non-native Arabic texts: Guidelines and corpus Proceedings of the Association for Computational Linguistics, Fourth Linguistic Annotation Workshop 129 139Zaidan , O. F. 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    Toward a Typology of Arabic Dialects: The Role of Final Consonantality

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    The salient constraint on Arabic stems is final consonantality which stipulates that the right edge of a stem must be marked by a consonant. In this paper, I examine the role of final consonantality as an extended prosodic constraint operating on syllables and moras, functioning as a parameter differentiating the main two dialectal types, onset and coda dialects. The effect of final consonantality is observed not only in specifying the site of epenthesis, but also in determining the distribution of prosodic rules such as gemination, degemination, and syncope as well as predicting the quality of the epenthetic vowel. The hypothesis is that extending final consonantality to the phonological component of the grammar in coda dialects is motivated by the desire to ensure uniformity between edges of prosodic and morphological constituents

    Perspectives on Arabic Linguistics XXIV-XXV Papers from the annual symposia on Arabic Linguistics. Texas, 2010 and Arizona, 2011

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    Recent studies of sluicing as an elliptical construction are divided with respect to how the bare wh-word in the sluicing clause (i.e. wh-sluice) manifests its expected grammatical properties on the one hand, and receives its semantic interpretation on the other hand. In this paper, I investigate Emirati Arabic (ea) sluicing and conclude that ea sluicing should be analyzed as tp-deletion from an underlying wh-construction, at the level of pf. This supports the pf-deletion approach (Ross 1969, Merchant 2001) and argues against the lf-copying approach (Chung, Ladusaw and McCloskey 1995, 2006, Chung 2005) to sluicing. Moreover, I demonstrate that the ea sluicing source is predetermined by the type of wh-construction in ea. ea allows two types of wh-constructions, namely wh-fronting and wh-clefts. Both wh-strategies, while morphosyntactically distinct, are fully attested in the formation of sluicing. This paper also claims that the typology of wh-constructions has a direct impact on the typology of sluicing.Perspectives on Arabic Linguistics XXIV-XXV -- Editorial page -- Title page -- LCC data -- Table of contents -- Acknowledgement -- Introduction -- Part I. Phonology and Morphology -- Geminate representation in Arabic -- 1. Introduction -- 2. Background - The phonological representation of geminates -- 3. Arabic evidence for the moraic representation of geminates -- 3.1 Word-final geminates -- 3.2 Word stress and geminate consonants -- 3.3 Geminates in loanwords (Cairene Arabic) -- 3.4 L1 acquisition of final clusters in Cairene Arabic -- 4. Conclusion and remaining problems -- Acknowledgements -- References -- Stress assignment in Makkan Arabic -- 1. Introduction -- 2. The weight system in Makkan Arabic -- 2.1 Theoretical assumptions -- 2.2 Syllable quantity in MA -- 2.3 Extrametricality -- 3. Stress in Makkan - presenting the facts -- 4. Stratal-ot - motivating the levels -- 5. Analysis of the stress facts -- 5.1 Transparent stress -- 6. Morphologically conditioned stress - the case of the feminine marker /-at/ 'she' -- 7. Opaque stress -- 7.1 Syncope -- 7.2 Motivation for the different strata -- 7.3 Syncope and cvvc syllables - licensing semisyllables -- 7.4 Initial epenthesis -- 7.5 Syncope and initial epenthesis in parallel-ot -- 8. Conclusion -- References -- Investigating variation in Arabic intonation -- 1. Introduction -- 2. Background -- 2.1 Formal analysis of intonational phonology -- 2.2 Arabic intonation -- 2.3 Data collection for intonational analysis -- 3. Methods -- 3.1 Data collection -- 3.2 Transcription -- 4. Results -- 4.1 Identification of variety used by speakers in the corpus -- 4.2 Patterns observed in read speech -- 4.3 Patterns observed in narratives and conversation -- 5. Discussion -- 5.1 Sanaani Arabic intonation -- 5.2 Comparison with Cairene Arabic intonation -- 5.3 Intonational variation in ArabicAcknowledgements -- References -- Appendix -- The Morpheme /-in(n)-/ in central Asian Arabic -- 1. Introduction -- 2. /-in(n)-/ as particle-suffix connector -- 2.1 Nigerian Arabic -- 2.2 Gulf Arabic -- 2.3 Bahraini Shiʕi 'Baharna' Arabic -- 2.4 Dathi:nah and Hadramawt -- 2.5 Oman/Zanzibar -- 2.6 ʕAnazi (ʕAnaza, ʕAnazeh, ʕAniza, ʕAneza) Bedouins -- 2.7 Khorasan Arabic -- 2.8 /-in(n)-/ as it attaches to participles in the central Asian dialects -- 3. Functions of the /-in(n)-/ morpheme -- 4. Theories explaining the /-in(n)-/ morpheme -- 5. A distinction between three /-in/ morphemes -- 5.1 Arabic dialects apart from Central Asia -- 5.2 Khorasan and Central Asian Arabic Dialects -- 6. An alternative Tanwi:n theory -- 7. Deeper semitic connections -- Conclusion -- References -- Part II. Syntax -- Variations on the same theme -- 1. Introduction -- 2. Sentential negation in Arabic varieties -- 3. Synchronic and diachronic evidence -- 3.1 Synchronic evidence -- 3.2 Diachronic evidence -- 4. Conclusion -- References -- Negation and heads -- 1. General remarks -- 2. Negation in Palestinian Arabic -- 2.1 Ma-X-ʃ negation where X is a verb -- 2.2 Negation in verbless sentences -- 3. Benmamoun's analysis of negation -- 4. Heads and negation -- 4.1 Verbs with object clitics -- 5. Non-verbs merging with negation -- 5. 1 Bidd+pronoun and ʕend+pronoun -- 5.2 Prepositions, adverbial particles and negation -- 5.3 The negative polarity item ħada -- 6. Defining the X in ma-X-ʃ -- 7. Conclusion -- References -- On negative concord in Egyptian and Moroccan Arabic -- 1. Introduction: Negative concord -- 2. nc in Egyptian and Moroccan Arabic: walaa and ħətta -- 2.1 ea walaa and ma ħətta as ncis -- 2.2 Syntactic differences between ea and ma nc structures -- 3. Previous analyses of nc -- 3.1 The npi-analysis of nc -- 3.2 The nq-analysis of nc3.3 The lexical ambiguity analysis -- 3.4 The syntactic agreement analysis -- 4. nc as syntactic agreement: An economy-based implementation -- 5. Conclusion -- References -- On the distribution and licensing of polarity-sensitive items in Egyptian Arabic: -- 1. Introduction: Polarity-sensitive items -- 2. The distribution of the npi ʔayy and the nci walaa in ea -- 2.1 Contexts where both ʔayy and walaa occur -- 2.2 Contexts where walaa, but not, ʔayy occurs -- 2.3 Contexts where ʔayy, but not walaa, occurs -- 2.4 Summary of the distribution of ʔayy and walaa in ea -- 3. The monotonicity-based approach (mba) to psi licensing -- 4. The veridicality-based approach (vba) to psi licensing -- 5. Further empirical consequences for licensing of ʔayy and walaa -- 6. The locality constraint on walaa versus ʔayy -- 7. Conclusions -- References -- Modes of interrogatives entail modes of sluicing -- 1. Introduction -- 2. Two Types of wh-constructions -- 2.1 Wh-fronting -- 2.2 Wh-clefts -- 3. Properties of Emirati Arabic sluicing -- 4. Determining the sluicing source -- 5. Conclusion -- References -- IndexRecent studies of sluicing as an elliptical construction are divided with respect to how the bare wh-word in the sluicing clause (i.e. wh-sluice) manifests its expected grammatical properties on the one hand, and receives its semantic interpretation on the other hand. In this paper, I investigate Emirati Arabic (ea) sluicing and conclude that ea sluicing should be analyzed as tp-deletion from an underlying wh-construction, at the level of pf. This supports the pf-deletion approach (Ross 1969, Merchant 2001) and argues against the lf-copying approach (Chung, Ladusaw and McCloskey 1995, 2006, Chung 2005) to sluicing. Moreover, I demonstrate that the ea sluicing source is predetermined by the type of wh-construction in ea. ea allows two types of wh-constructions, namely wh-fronting and wh-clefts. Both wh-strategies, while morphosyntactically distinct, are fully attested in the formation of sluicing. This paper also claims that the typology of wh-constructions has a direct impact on the typology of sluicing.Description based on publisher supplied metadata and other sources.Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, YYYY. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries
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