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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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UniMorph 3.0: Universal Morphology ...
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McCarthy, Arya D.; Kirov, Christo; Grella, Matteo; Nidhi, Amrit; Xia, Patrick; Gorman, Kyle; Vylomova, Ekaterina; Mielke, Sabrina J.; Nicolai, Garrett; Silfverberg, Miikka; Arkhangelskij, Timofey; Krizhanovsky, Natalya; Krizhanovsky, Andrew; Klyachko, Elena; Sorokin, Alexey; Mansfield, John; Ernštreits, Valts; Pinter, Yuval; Jacobs, Cassandra L.; Cotterell, Ryan; Hulden, Mans; Yarowsky, David. - : ETH Zurich, 2020
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Abstract:
The Universal Morphology (UniMorph) project is a collaborative effort providing broad-coverage instantiated normalized morphological paradigms for hundreds of diverse world languages. The project comprises two major thrusts: a language-independent feature schema for rich morphological annotation and a type-level resource of annotated data in diverse languages realizing that schema. We have implemented several improvements to the extraction pipeline which creates most of our data, so that it is both more complete and more correct. We have added 66 new languages, as well as new parts of speech for 12 languages. We have also amended the schema in several ways. Finally, we present three new community tools: two to validate data for resource creators, and one to make morphological data available from the command line. UniMorph is based at the Center for Language and Speech Processing (CLSP) at Johns Hopkins University in Baltimore, Maryland. This paper details advances made to the schema, tooling, and ... : Proceedings of the 12th Language Resources and Evaluation Conference ...
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Keyword:
lexical database; morphology; multilinguality
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URL: https://dx.doi.org/10.3929/ethz-b-000462327 http://hdl.handle.net/20.500.11850/462327
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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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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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