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        <name type="personal">
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    <abstract>Morphological tasks have gained decent popularity within the NLP community in the recent years, with large multi-lingual datasets providing morphological analysis of words, either in or out of context. However, the lack of a clear linguistic definition for words destines the annotative work to be incomplete and mired in inconsistencies, especially cross-linguistically. In this work we expand morphological inflection of words to inflection of sentences to provide true universality disconnected from orthographic traditions of white-space usage. To allow annotation for sentence-inflection we define a morphological annotation scheme by a fixed set of inflectional features. We present a small cross-linguistic dataset including semi-manually generated simple sentences in 4 typologically diverse languages annotated according to our suggested scheme, and show that the task of reinflection gets substantially more difficult but that the change of scope from words to well-defined sentences allows interface with contextualized language models.</abstract>
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%0 Conference Proceedings
%T Well-Defined Morphology is Sentence-Level Morphology
%A Goldman, Omer
%A Tsarfaty, Reut
%Y Ataman, Duygu
%Y Birch, Alexandra
%Y Conneau, Alexis
%Y Firat, Orhan
%Y Ruder, Sebastian
%Y Sahin, Gozde Gul
%S Proceedings of the 1st Workshop on Multilingual Representation Learning
%D 2021
%8 November
%I Association for Computational Linguistics
%C Punta Cana, Dominican Republic
%F goldman-tsarfaty-2021-well
%X Morphological tasks have gained decent popularity within the NLP community in the recent years, with large multi-lingual datasets providing morphological analysis of words, either in or out of context. However, the lack of a clear linguistic definition for words destines the annotative work to be incomplete and mired in inconsistencies, especially cross-linguistically. In this work we expand morphological inflection of words to inflection of sentences to provide true universality disconnected from orthographic traditions of white-space usage. To allow annotation for sentence-inflection we define a morphological annotation scheme by a fixed set of inflectional features. We present a small cross-linguistic dataset including semi-manually generated simple sentences in 4 typologically diverse languages annotated according to our suggested scheme, and show that the task of reinflection gets substantially more difficult but that the change of scope from words to well-defined sentences allows interface with contextualized language models.
%R 10.18653/v1/2021.mrl-1.23
%U https://aclanthology.org/2021.mrl-1.23
%U https://doi.org/10.18653/v1/2021.mrl-1.23
%P 248-250

Markdown (Informal)

[Well-Defined Morphology is Sentence-Level Morphology](https://aclanthology.org/2021.mrl-1.23) (Goldman & Tsarfaty, MRL 2021)

• Well-Defined Morphology is Sentence-Level Morphology (Goldman & Tsarfaty, MRL 2021)

ACL

• Omer Goldman and Reut Tsarfaty. 2021. Well-Defined Morphology is Sentence-Level Morphology. In Proceedings of the 1st Workshop on Multilingual Representation Learning, pages 248–250, Punta Cana, Dominican Republic. Association for Computational Linguistics.