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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 Hits 1 – 20 of 37 1 Conventional Orthography for Dialectal Arabic (CODA): Principles and Guidelines -- Egyptian Arabic - Version 0.7 - March 2012 Habash, Nizar Y.; Diab, Mona T.; Rambow, Owen C.. - : Center for Computational Learning Systems, Columbia University, 2014 BASE Show details 2 Conventional Orthography for Dialectal Arabic (CODA): Principles and Guidelines -- Egyptian Arabic - Version 0.7 - March 2012 ... Habash, Nizar Y.; Diab, Mona T.; Rambow, Owen C.. - : Columbia University, 2014 BASE Show details 3 Annotation Guidelines for Arabic Nominal Gender, Number, and Rationality Habash, Nizar Y.; Alkuhlani, Sarah M.. - : Center for Computational Learning Systems, Columbia University, 2013 BASE Show details 4 LDC Arabic Treebanks and Associated Corpora: Data Divisions Manual Diab, Mona T.; Habash, Nizar Y.; Rambow, Owen C.. - : Center for Computational Learning Systems, Columbia University, 2013 BASE Show details 5 Annotation Guidelines for Arabic Nominal Gender, Number, and Rationality ... Habash, Nizar Y.; Alkuhlani, Sarah M.. - : Columbia University, 2013 BASE Show details 6 LDC Arabic Treebanks and Associated Corpora: Data Divisions Manual ... Diab, Mona T.; Habash, Nizar Y.; Rambow, Owen C.. - : Columbia University, 2013 BASE Show details 7 Improved arabic-to-english statistical machine translation by reordering post-verbal subjects for word alignment Carpuat, Marine; Marton, Yuval; Habash, Nizar Y.. - 2012 BASE Show details 8 A Modern Standard Arabic Closed-Class Word List Salloum, Wael Sameer; Habash, Nizar Y.. - : Center for Computational Learning Systems, Columbia University, 2012 BASE Show details 9 Can Automatic Post-Editing Make MT More Meaningful? McKeown, Kathleen; Parton, Kristen; Habash, Nizar Y.. - 2012 BASE Show details 10 A Modern Standard Arabic Closed-Class Word List ... Salloum, Wael Sameer; Habash, Nizar Y.. - : Columbia University, 2012 BASE Show details 11 Can Automatic Post-Editing Make MT More Meaningful? ... McKeown, Kathleen; Parton, Kristen; Habash, Nizar Y.. - : Columbia University, 2012 BASE Show details 12 Dialectal to Standard Arabic Paraphrasing to Improve Arabic-English Statistical Machine Translation Habash, Nizar Y.; Salloum, Wael Sameer. - : Center for Computational Learning Systems, Columbia University, 2011 BASE Show details 13 Conventional Orthography for Dialectal Arabic (CODA) Version 0.1 ““ July 2011 Habash, Nizar Y.; Diab, Mona T.; Rambow, Owen C.. - : Center for Computational Learning Systems, Columbia University, 2011 BASE Show details 14 Conventional Orthography for Dialectal Arabic (CODA) Version 0.1 ““ July 2011 ... Habash, Nizar Y.; Diab, Mona T.; Rambow, Owen C.. - : Columbia University, 2011 BASE Show details 15 Dialectal to Standard Arabic Paraphrasing to Improve Arabic-English Statistical Machine Translation ... Salloum, Wael Sameer; Habash, Nizar Y.. - : Columbia University, 2011 BASE Show details 16 Automatic Identification of Errors in Arabic Handwriting Recognition Roth, Ryan; Habash, Nizar Y.; Habash, Nizar. - : Center for Computational Learning Systems, Columbia University, 2010 BASE Show details 17 Automatic Identification of Errors in Arabic Handwriting Recognition ... Habash, Nizar; Roth, Ryan; Habash, Nizar Y.. - : Columbia University, 2010 BASE Show details 18 Spoken Arabic Dialect Identification Using Phonotactic Modeling Biadsy, Fadi; Hirschberg, Julia Bell; Habash, Nizar Y.. - 2009 Abstract: The Arabic language is a collection of multiple variants, among which Modern Standard Arabic (MSA) has a special status as the formal written standard language of the media, culture and education across the Arab world. The other variants are informal spoken dialects that are the media of communication for daily life. Arabic dialects differ substantially from MSA and each other in terms of phonology, morphology, lexical choice and syntax. In this paper, we describe a system that automatically identifies the Arabic dialect (Gulf, Iraqi, Levantine, Egyptian and MSA) of a speaker given a sample of his/her speech. The phonotactic approach we use proves to be effective in identifying these dialects with considerable overall accuracy — 81.60% using 30s test utterances. Keyword: Computer science URL: https://doi.org/10.7916/D8NC68H1 BASE Hide details 19 Improving the Arabic Pronunciation Dictionary for Phone and Word Recognition with Linguistically-Based Pronunciation Rules Biadsy, Fadi; Hirschberg, Julia Bell; Habash, Nizar Y.. - 2009 BASE Show details 20 CATiB: The Columbia Arabic Treebank Habash, Nizar Y.; Roth, Ryan; Habash, Nizar. - : Center for Computational Learning Systems, Columbia University, 2009 BASE Show details Page: 1 2

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