1 |
SIGMORPHON 2020 Shared Task 0: Typologically Diverse Morphological Inflection ...
|
|
|
|
BASE
|
|
Show details
|
|
2 |
Processing South Asian Languages Written in the Latin Script: the Dakshina Dataset ...
|
|
|
|
BASE
|
|
Show details
|
|
3 |
UniMorph 3.0: Universal Morphology
|
|
Kirov, Christo; Nicolai, Garrett; Arkhangelskij, Timofey; Ernštreits, Valts; Nidhi, Amrit; Krizhanovsky, Natalya; Krizhanovsky, Andrew; Cotterell, Ryan; Mansfield, John; Vylomova, Ekaterina; Grella, Matteo; Pinter, Yuval; Xia, Patrick; McCarthy, Arya D.; Klyachko, Elena; Gorman, Kyle; Mielke, Sabrina J.; Hulden, Mans; Yarowsky, David; Jacobs, Cassandra L.; Silfverberg, Miikka; Sorokin, Alexey
|
|
In: Proceedings of the 12th Language Resources and Evaluation Conference (2020)
|
|
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 dissemination of project resources since the UniMorph 2.0 release described at LREC 2018.
|
|
Keyword:
lexical database; morphology; multilinguality
|
|
URL: https://hdl.handle.net/20.500.11850/462327 https://doi.org/10.3929/ethz-b-000462327
|
|
BASE
|
|
Hide details
|
|
5 |
The SIGMORPHON 2019 Shared Task: Morphological Analysis in Context and Cross-Lingual Transfer for Inflection ...
|
|
|
|
BASE
|
|
Show details
|
|
6 |
On the Complexity and Typology of Inflectional Morphological Systems
|
|
|
|
In: Transactions of the Association for Computational Linguistics, Vol 7, Pp 327-342 (2019) (2019)
|
|
BASE
|
|
Show details
|
|
7 |
On the Complexity and Typology of Inflectional Morphological Systems ...
|
|
|
|
BASE
|
|
Show details
|
|
8 |
Recurrent Neural Networks in Linguistic Theory: Revisiting Pinker and Prince (1988) and the Past Tense Debate ...
|
|
|
|
BASE
|
|
Show details
|
|
9 |
Unsupervised Disambiguation of Syncretism in Inflected Lexicons ...
|
|
|
|
BASE
|
|
Show details
|
|
10 |
Quantifying the Trade-off Between Two Types of Morphological Complexity
|
|
|
|
In: Proceedings of the Society for Computation in Linguistics (2018)
|
|
BASE
|
|
Show details
|
|
12 |
Grammatical Influences in a Bayesian Speech Production Framework
|
|
|
|
In: Kirov, Christo. (2014). Grammatical Influences in a Bayesian Speech Production Framework. Proceedings of the Cognitive Science Society, 36(36). Retrieved from: http://www.escholarship.org/uc/item/28w3h0jx (2014)
|
|
BASE
|
|
Show details
|
|
14 |
Bayesian Speech Production: Evidence from Latency and Hyperarticulation
|
|
|
|
In: Kirov, Christo; & Wilson, Colin. (2013). Bayesian Speech Production: Evidence from Latency and Hyperarticulation. Proceedings of the Cognitive Science Society, 35(35). Retrieved from: http://www.escholarship.org/uc/item/5296p4d1 (2013)
|
|
BASE
|
|
Show details
|
|
16 |
The Specificity of Online Variation in Speech Production
|
|
|
|
In: Kirov, Christo; & Wilson, Colin. (2012). The Specificity of Online Variation in Speech Production. Proceedings of the Cognitive Science Society, 34(34). Retrieved from: http://www.escholarship.org/uc/item/9mz1d1tx (2012)
|
|
BASE
|
|
Show details
|
|
|
|