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To POS Tag or Not to POS Tag: The Impact of POS Tags on Morphological Learning in Low-Resource Settings ...
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Applying the Transformer to Character-level Transduction ...
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Do RNN States Encode Abstract Phonological Alternations? ...
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Applying the Transformer to Character-level Transduction
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In: Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume (2021)
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Can a Transformer Pass the Wug Test? Tuning Copying Bias in Neural Morphological Inflection Models ...
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SIGMORPHON 2020 Shared Task 0: Typologically Diverse Morphological Inflection ...
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UniMorph 3.0: Universal Morphology
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In: Proceedings of the 12th Language Resources and Evaluation Conference (2020)
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The SIGMORPHON 2019 Shared Task: Morphological Analysis in Context and Cross-Lingual Transfer for Inflection ...
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RNN Classification of English Vowels: Nasalized or Not
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In: Proceedings of the Society for Computation in Linguistics (2019)
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On the Complexity and Typology of Inflectional Morphological Systems
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In: Transactions of the Association for Computational Linguistics, Vol 7, Pp 327-342 (2019) (2019)
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Marrying Universal Dependencies and Universal Morphology ...
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Abstract:
The Universal Dependencies (UD) and Universal Morphology (UniMorph) projects each present schemata for annotating the morphosyntactic details of language. Each project also provides corpora of annotated text in many languages - UD at the token level and UniMorph at the type level. As each corpus is built by different annotators, language-specific decisions hinder the goal of universal schemata. With compatibility of tags, each project's annotations could be used to validate the other's. Additionally, the availability of both type- and token-level resources would be a boon to tasks such as parsing and homograph disambiguation. To ease this interoperability, we present a deterministic mapping from Universal Dependencies v2 features into the UniMorph schema. We validate our approach by lookup in the UniMorph corpora and find a macro-average of 64.13% recall. We also note incompatibilities due to paucity of data on either side. Finally, we present a critical evaluation of the foundations, strengths, and ... : UDW18 ...
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Keyword:
Computation and Language cs.CL; FOS Computer and information sciences
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URL: https://dx.doi.org/10.48550/arxiv.1810.06743 https://arxiv.org/abs/1810.06743
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On the Complexity and Typology of Inflectional Morphological Systems ...
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Sound Analogies with Phoneme Embeddings
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In: Proceedings of the Society for Computation in Linguistics (2018)
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Quantifying the Trade-off Between Two Types of Morphological Complexity
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In: Proceedings of the Society for Computation in Linguistics (2018)
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A Comparison of Feature-Based and Neural Scansion of Poetry ...
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