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Automatic Identification of Errors in Arabic Handwriting Recognition ...
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Abstract:
Arabic handwriting recognition (HR) is a challenging problem due to Arabic's connected letter forms, consonantal diacritics and rich morphology. In this paper we isolate the task of identification of erroneous words in HR from the task of producing corrections for these words. We consider a variety of linguistic (morphological and syntactic) and non-linguistic features to automatically identify these errors. We also consider a learning curve varying in two dimensions: number of segments and number of n-best hypotheses to train on. We additionally evaluate the performance on different test sets with different degrees of errors in them. Our best approach achieves a roughly ~20% absolute increase in F-score over a simple but reasonable baseline. A detailed error analysis shows that linguistic features, such as lemma models, help improve HR-error detection precisely where we expect them to: semantically inconsistent error words. ...
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Keyword:
Artificial intelligence; Computer science
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URL: https://academiccommons.columbia.edu/doi/10.7916/D8SQ95Q9 https://dx.doi.org/10.7916/d8sq95q9
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82 |
Spoken Arabic Dialect Identification Using Phonotactic Modeling
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83 |
Improving the Arabic Pronunciation Dictionary for Phone and Word Recognition with Linguistically-Based Pronunciation Rules
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86 |
Improving the Arabic Pronunciation Dictionary for Phone and Word Recognition with Linguistically-Based Pronunciation Rules ...
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87 |
Spoken Arabic Dialect Identification Using Phonotactic Modeling ...
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89 |
Arabic Diacritization through Full Morphological Tagging ...
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93 |
Inter-annotator agreement on a multilingual semantic annotation task
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94 |
Challenges in Building an Arabic-English GHMT System with SMT Components
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95 |
MAGEAD: A Morphological Analyzer and Generator for the Arabic Dialects
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Challenges in Building an Arabic-English GHMT System with SMT Components ...
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Inter-annotator agreement on a multilingual semantic annotation task ...
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MAGEAD: A Morphological Analyzer and Generator for the Arabic Dialects ...
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