Paradigm Completion for Derivational Morphology
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arXiv
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| Main Authors: | , , , , |
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| Format: | Preprint |
| Published: |
2017
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| _version_ | 1866910828708495360 |
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| author | Cotterell, Ryan Vylomova, Ekaterina Khayrallah, Huda Kirov, Christo Yarowsky, David |
| author_facet | Cotterell, Ryan Vylomova, Ekaterina Khayrallah, Huda Kirov, Christo Yarowsky, David |
| contents | The generation of complex derived word forms has been an overlooked problem in NLP; we fill this gap by applying neural sequence-to-sequence models to the task. We overview the theoretical motivation for a paradigmatic treatment of derivational morphology, and introduce the task of derivational paradigm completion as a parallel to inflectional paradigm completion. State-of-the-art neural models, adapted from the inflection task, are able to learn a range of derivation patterns, and outperform a non-neural baseline by 16.4%. However, due to semantic, historical, and lexical considerations involved in derivational morphology, future work will be needed to achieve performance parity with inflection-generating systems. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_1708_09151 |
| institution | arXiv |
| publishDate | 2017 |
| record_format | arxiv |
| spellingShingle | Paradigm Completion for Derivational Morphology Cotterell, Ryan Vylomova, Ekaterina Khayrallah, Huda Kirov, Christo Yarowsky, David Computation and Language The generation of complex derived word forms has been an overlooked problem in NLP; we fill this gap by applying neural sequence-to-sequence models to the task. We overview the theoretical motivation for a paradigmatic treatment of derivational morphology, and introduce the task of derivational paradigm completion as a parallel to inflectional paradigm completion. State-of-the-art neural models, adapted from the inflection task, are able to learn a range of derivation patterns, and outperform a non-neural baseline by 16.4%. However, due to semantic, historical, and lexical considerations involved in derivational morphology, future work will be needed to achieve performance parity with inflection-generating systems. |
| title | Paradigm Completion for Derivational Morphology |
| topic | Computation and Language |
| url | https://arxiv.org/abs/1708.09151 |