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Turkish Natural Language Processing
Oflazer, Kemal [Herausgeber]; Saraçlar, Murat [Herausgeber]. - Cham : Springer International Publishing, 2018
DNB Subject Category Language
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2
YouDACC: the Youtube Dialectal Arabic Commentary Corpus ...
Salama, Ahmed; Bouamor, Houda; Behrang Mohit. - : Carnegie Mellon University, 2018
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3
YouDACC: the Youtube Dialectal Arabic Commentary Corpus ...
Salama, Ahmed; Bouamor, Houda; Behrang Mohit. - : Carnegie Mellon University, 2018
BASE
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4
Multi-rate HMMs for Word Alignment ...
Eyigoz, Elif; Gildea, Daniel; Oflazer, Kemal. - : Carnegie Mellon University, 2018
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5
Multi-rate HMMs for Word Alignment ...
Eyigoz, Elif; Gildea, Daniel; Oflazer, Kemal. - : Carnegie Mellon University, 2018
BASE
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6
MADARi: A Web Interface for Joint Arabic Morphological Annotation and Spelling Correction ...
BASE
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7
Dependency Parsing with an Extended Finite-State Approach ...
Oflazer, Kemal. - : Figshare, 2018
BASE
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8
Dependency Parsing with an Extended Finite-State Approach ...
Oflazer, Kemal. - : Figshare, 2018
BASE
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9
A Pilot Study on Arabic Multi-Genre Corpus Diacritization Annotation ...
Bouamor, Houda; Zaghouani, Wajdi; Diab, Mona. - : Carnegie Mellon University, 2018
BASE
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10
A Pilot Study on Arabic Multi-Genre Corpus Diacritization Annotation ...
Bouamor, Houda; Zaghouani, Wajdi; Diab, Mona. - : Carnegie Mellon University, 2018
BASE
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11
QCMUQ@QALB-2015 Shared Task: Combining Character level MT and Error-tolerant Finite-State Recognition for Arabic Spelling Correction ...
Bouamor, Houda; Sajjad, Hassan; Durrani, Nadir; Oflazer, Kemal. - : Carnegie Mellon University, 2015
Abstract: We describe the CMU-Q and QCRI’s joint efforts in building a spelling correction system for Arabic in the QALB 2015 Shared Task. Our system is based on a hybrid pipeline that combines rule-based linguistic techniques with statistical methods using language modeling and machine translation, as well as an error-tolerant finite-state automata method. We trained and tested our spelling corrector using the dataset provided by the shared task organizers. Our system outperforms the baseline system and yields better correction quality with an F-score of 68.12 on L1- test-2015 test set and 38.90 on the L2-test2015. This ranks us 2nd in the L2 subtask and 5th in the L1 subtask. ...
Keyword: 80107 Natural Language Processing; FOS Computer and information sciences
URL: https://dx.doi.org/10.1184/r1/6373157.v1
https://kilthub.cmu.edu/articles/QCMUQ_QALB-2015_Shared_Task_Combining_Character_level_MT_and_Error-tolerant_Finite-State_Recognition_for_Arabic_Spelling_Correction/6373157/1
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12
QCMUQ@QALB-2015 Shared Task: Combining Character level MT and Error-tolerant Finite-State Recognition for Arabic Spelling Correction ...
Bouamor, Houda; Sajjad, Hassan; Durrani, Nadir. - : Carnegie Mellon University, 2015
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13
Domain and Dialect Adaptation for Machine Translation into Egyptian Arabic ...
Jeblee, Serena; Freely, Weston; Bouamor, Houda. - : Carnegie Mellon University, 2014
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14
Domain and Dialect Adaptation for Machine Translation into Egyptian Arabic ...
Jeblee, Serena; Freely, Weston; Bouamor, Houda. - : Carnegie Mellon University, 2014
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15
A Multidialectal Parallel Corpus of Arabic ...
Habash, Nizar; Bouamor, Houda; Oflazer, Kemal. - : Carnegie Mellon University, 2014
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16
A Multidialectal Parallel Corpus of Arabic ...
Habash, Nizar; Bouamor, Houda; Oflazer, Kemal. - : Carnegie Mellon University, 2014
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17
A Human Judgment Corpus and a Metric for Arabic MT Evaluation ...
Bouamor, Houda; Alshikhabobakr, Hanan; Behrang Mohit. - : Carnegie Mellon University, 2014
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18
A Human Judgment Corpus and a Metric for Arabic MT Evaluation ...
Bouamor, Houda; Alshikhabobakr, Hanan; Behrang Mohit. - : Carnegie Mellon University, 2014
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19
Morphology modeling for statistical machine translation
Eyigoz, Kadriye Elif (1977 - ); Gildea, Daniel J.; Oflazer, Kemal. - : University of Rochester, 2014
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20
SUMT: A Framework of Summarization and MT ...
Behrang Mohit; Bouamor, Houda; Oflazer, Kemal. - : Carnegie Mellon University, 2013
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