Well-Defined Morphology is Sentence-Level Morphology

Omer Goldman; Reut Tsarfaty

doi:10.18653/v1/2021.mrl-1.23

Well-Defined Morphology is Sentence-Level Morphology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Scopus citations

Original language	English
Title of host publication	MRL 2021 - 1st Workshop on Multilingual Representation Learning, Proceedings of the Conference
Editors	Duygu Ataman, Alexandra Birch, Alexis Conneau, Orhan Firat, Sebastian Ruder, Gozde Gul Sahin
Publisher	Association for Computational Linguistics (ACL)
Pages	248-250
Number of pages	3
ISBN (Electronic)	9781954085961
DOIs	https://doi.org/10.18653/v1/2021.mrl-1.23
State	Published - 2021
Event	1st Workshop on Multilingual Representation Learning, MRL 2021 - Punta Cana, Dominican Republic Duration: 11 Nov 2021 → …

Publication series

Name	MRL 2021 - 1st Workshop on Multilingual Representation Learning, Proceedings of the Conference

Conference

Conference	1st Workshop on Multilingual Representation Learning, MRL 2021
Country/Territory	Dominican Republic
City	Punta Cana
Period	11/11/21 → …

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10.18653/v1/2021.mrl-1.23

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Goldman, O., & Tsarfaty, R. (2021). Well-Defined Morphology is Sentence-Level Morphology. In D. Ataman, A. Birch, A. Conneau, O. Firat, S. Ruder, & G. G. Sahin (Eds.), MRL 2021 - 1st Workshop on Multilingual Representation Learning, Proceedings of the Conference (pp. 248-250). (MRL 2021 - 1st Workshop on Multilingual Representation Learning, Proceedings of the Conference). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/2021.mrl-1.23

Goldman, Omer ; Tsarfaty, Reut. / Well-Defined Morphology is Sentence-Level Morphology. MRL 2021 - 1st Workshop on Multilingual Representation Learning, Proceedings of the Conference. editor / Duygu Ataman ; Alexandra Birch ; Alexis Conneau ; Orhan Firat ; Sebastian Ruder ; Gozde Gul Sahin. Association for Computational Linguistics (ACL), 2021. pp. 248-250 (MRL 2021 - 1st Workshop on Multilingual Representation Learning, Proceedings of the Conference).

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title = "Well-Defined Morphology is Sentence-Level Morphology",

author = "Omer Goldman and Reut Tsarfaty",

year = "2021",

doi = "10.18653/v1/2021.mrl-1.23",

language = "אנגלית",

series = "MRL 2021 - 1st Workshop on Multilingual Representation Learning, Proceedings of the Conference",

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booktitle = "MRL 2021 - 1st Workshop on Multilingual Representation Learning, Proceedings of the Conference",

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Goldman, O & Tsarfaty, R 2021, Well-Defined Morphology is Sentence-Level Morphology. in D Ataman, A Birch, A Conneau, O Firat, S Ruder & GG Sahin (eds), MRL 2021 - 1st Workshop on Multilingual Representation Learning, Proceedings of the Conference. MRL 2021 - 1st Workshop on Multilingual Representation Learning, Proceedings of the Conference, Association for Computational Linguistics (ACL), pp. 248-250, 1st Workshop on Multilingual Representation Learning, MRL 2021, Punta Cana, Dominican Republic, 11/11/21. https://doi.org/10.18653/v1/2021.mrl-1.23

Well-Defined Morphology is Sentence-Level Morphology. / Goldman, Omer; Tsarfaty, Reut.
MRL 2021 - 1st Workshop on Multilingual Representation Learning, Proceedings of the Conference. ed. / Duygu Ataman; Alexandra Birch; Alexis Conneau; Orhan Firat; Sebastian Ruder; Gozde Gul Sahin. Association for Computational Linguistics (ACL), 2021. p. 248-250 (MRL 2021 - 1st Workshop on Multilingual Representation Learning, Proceedings of the Conference).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Goldman O, Tsarfaty R. Well-Defined Morphology is Sentence-Level Morphology. In Ataman D, Birch A, Conneau A, Firat O, Ruder S, Sahin GG, editors, MRL 2021 - 1st Workshop on Multilingual Representation Learning, Proceedings of the Conference. Association for Computational Linguistics (ACL). 2021. p. 248-250. (MRL 2021 - 1st Workshop on Multilingual Representation Learning, Proceedings of the Conference). doi: 10.18653/v1/2021.mrl-1.23

Well-Defined Morphology is Sentence-Level Morphology

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