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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
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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
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3
Annotation Guidelines for Arabic Nominal Gender, Number, and Rationality
Habash, Nizar Y.; Alkuhlani, Sarah M.. - : Center for Computational Learning Systems, Columbia University, 2013
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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
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5
Annotation Guidelines for Arabic Nominal Gender, Number, and Rationality ...
Habash, Nizar Y.; Alkuhlani, Sarah M.. - : Columbia University, 2013
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6
LDC Arabic Treebanks and Associated Corpora: Data Divisions Manual ...
Diab, Mona T.; Habash, Nizar Y.; Rambow, Owen C.. - : Columbia University, 2013
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7
Improved arabic-to-english statistical machine translation by reordering post-verbal subjects for word alignment
Abstract: We study challenges raised by the order of Arabic verbs and their subjects in statistical machine translation (SMT). We show that the boundaries of post-verbal subjects (VS) are hard to detect accurately, even with a state-of-the-art Arabic dependency parser. In addition, VS constructions have highly ambiguous reordering patterns when translated to English, and these patterns are very different for matrix (main clause) VS and non-matrix (subordinate clause) VS. Based on this analysis, we propose a novel method for leveraging VS information in SMT: we reorder VS constructions into pre-verbal (SV) order for word alignment. Unlike previous approaches to source-side reordering, phrase extraction and decoding are performed using the original Arabic word order. This strategy significantly improves BLEU and TER scores, even on a strong large-scale baseline. Limiting reordering to matrix VS yields further improvements.
Keyword: Computer science
URL: https://doi.org/10.7916/D87S7ZSP
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8
A Modern Standard Arabic Closed-Class Word List
Salloum, Wael Sameer; Habash, Nizar Y.. - : Center for Computational Learning Systems, Columbia University, 2012
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9
Can Automatic Post-Editing Make MT More Meaningful?
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10
A Modern Standard Arabic Closed-Class Word List ...
Salloum, Wael Sameer; Habash, Nizar Y.. - : Columbia University, 2012
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11
Can Automatic Post-Editing Make MT More Meaningful? ...
McKeown, Kathleen; Parton, Kristen; Habash, Nizar Y.. - : Columbia University, 2012
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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
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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
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14
Conventional Orthography for Dialectal Arabic (CODA) Version 0.1 ““ July 2011 ...
Habash, Nizar Y.; Diab, Mona T.; Rambow, Owen C.. - : Columbia University, 2011
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15
Dialectal to Standard Arabic Paraphrasing to Improve Arabic-English Statistical Machine Translation ...
Salloum, Wael Sameer; Habash, Nizar Y.. - : Columbia University, 2011
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16
Automatic Identification of Errors in Arabic Handwriting Recognition
Roth, Ryan; Habash, Nizar Y.; Habash, Nizar. - : Center for Computational Learning Systems, Columbia University, 2010
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17
Automatic Identification of Errors in Arabic Handwriting Recognition ...
Habash, Nizar; Roth, Ryan; Habash, Nizar Y.. - : Columbia University, 2010
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18
Spoken Arabic Dialect Identification Using Phonotactic Modeling
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19
Improving the Arabic Pronunciation Dictionary for Phone and Word Recognition with Linguistically-Based Pronunciation Rules
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20
CATiB: The Columbia Arabic Treebank
Habash, Nizar Y.; Roth, Ryan; Habash, Nizar. - : Center for Computational Learning Systems, Columbia University, 2009
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