@inproceedings{socolof-etal-2022-measuring,
title = "Measuring Morphological Fusion Using Partial Information Decomposition",
author = "Socolof, Michaela and
Hoover, Jacob Louis and
Futrell, Richard and
Sordoni, Alessandro and
O{'}Donnell, Timothy J.",
booktitle = "Proceedings of the 29th International Conference on Computational Linguistics",
month = oct,
year = "2022",
address = "Gyeongju, Republic of Korea",
publisher = "International Committee on Computational Linguistics",
url = "https://aclanthology.org/2022.coling-1.5",
pages = "44--54",
abstract = "Morphological systems across languages vary when it comes to the relation between form and meaning. In some languages, a single meaning feature corresponds to a single morpheme, whereas in other languages, multiple meaning features are bundled together into one morpheme. The two types of languages have been called agglutinative and fusional, respectively, but this distinction does not capture the graded nature of the phenomenon. We provide a mathematically precise way of characterizing morphological systems using partial information decomposition, a framework for decomposing mutual information into three components: unique, redundant, and synergistic information. We show that highly fusional languages are characterized by high levels of synergy.",
}
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%0 Conference Proceedings
%T Measuring Morphological Fusion Using Partial Information Decomposition
%A Socolof, Michaela
%A Hoover, Jacob Louis
%A Futrell, Richard
%A Sordoni, Alessandro
%A O’Donnell, Timothy J.
%S Proceedings of the 29th International Conference on Computational Linguistics
%D 2022
%8 October
%I International Committee on Computational Linguistics
%C Gyeongju, Republic of Korea
%F socolof-etal-2022-measuring
%X Morphological systems across languages vary when it comes to the relation between form and meaning. In some languages, a single meaning feature corresponds to a single morpheme, whereas in other languages, multiple meaning features are bundled together into one morpheme. The two types of languages have been called agglutinative and fusional, respectively, but this distinction does not capture the graded nature of the phenomenon. We provide a mathematically precise way of characterizing morphological systems using partial information decomposition, a framework for decomposing mutual information into three components: unique, redundant, and synergistic information. We show that highly fusional languages are characterized by high levels of synergy.
%U https://aclanthology.org/2022.coling-1.5
%P 44-54
Markdown (Informal)
[Measuring Morphological Fusion Using Partial Information Decomposition](https://aclanthology.org/2022.coling-1.5) (Socolof et al., COLING 2022)
ACL
- Michaela Socolof, Jacob Louis Hoover, Richard Futrell, Alessandro Sordoni, and Timothy J. O’Donnell. 2022. Measuring Morphological Fusion Using Partial Information Decomposition. In Proceedings of the 29th International Conference on Computational Linguistics, pages 44–54, Gyeongju, Republic of Korea. International Committee on Computational Linguistics.