Urdu Dependency Parsing and Treebank Development: A Syntactic and Morphological Perspective
Parsing is the process of analyzing a sentence's syntactic structure by breaking it down into its grammatical components. and is critical for various linguistic applications. Urdu is a low-resource, free word-order language and exhibits complex morphology. Literature suggests that dependency pa...
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13-06-2024
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| Abstract | Parsing is the process of analyzing a sentence's syntactic structure by
breaking it down into its grammatical components. and is critical for various
linguistic applications. Urdu is a low-resource, free word-order language and
exhibits complex morphology. Literature suggests that dependency parsing is
well-suited for such languages. Our approach begins with a basic feature model
encompassing word location, head word identification, and dependency relations,
followed by a more advanced model integrating part-of-speech (POS) tags and
morphological attributes (e.g., suffixes, gender). We manually annotated a
corpus of news articles of varying complexity. Using Maltparser and the
NivreEager algorithm, we achieved a best-labeled accuracy (LA) of 70% and an
unlabeled attachment score (UAS) of 84%, demonstrating the feasibility of
dependency parsing for Urdu. |
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| AbstractList | Parsing is the process of analyzing a sentence's syntactic structure by
breaking it down into its grammatical components. and is critical for various
linguistic applications. Urdu is a low-resource, free word-order language and
exhibits complex morphology. Literature suggests that dependency parsing is
well-suited for such languages. Our approach begins with a basic feature model
encompassing word location, head word identification, and dependency relations,
followed by a more advanced model integrating part-of-speech (POS) tags and
morphological attributes (e.g., suffixes, gender). We manually annotated a
corpus of news articles of varying complexity. Using Maltparser and the
NivreEager algorithm, we achieved a best-labeled accuracy (LA) of 70% and an
unlabeled attachment score (UAS) of 84%, demonstrating the feasibility of
dependency parsing for Urdu. |
| Author | Habib, Nudrat |
| Author_xml | – sequence: 1 givenname: Nudrat surname: Habib fullname: Habib, Nudrat |
| BackLink | https://doi.org/10.48550/arXiv.2406.09549$$DView paper in arXiv |
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| Snippet | Parsing is the process of analyzing a sentence's syntactic structure by
breaking it down into its grammatical components. and is critical for various... |
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| SubjectTerms | Computer Science - Computation and Language Computer Science - Learning |
| Title | Urdu Dependency Parsing and Treebank Development: A Syntactic and Morphological Perspective |
| URI | https://arxiv.org/abs/2406.09549 |
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