TY  - CHAP
U1  - Konferenzveröffentlichung
A1  - Bentz, Christian
A1  - Soldatova, Tatjana
A1  - Koplenig, Alexander
A1  - Samardžić, Tanja
T1  - A comparison between morphological complexity measures: typological data vs. language corpora
T2  - Proceedings of the Workshop on Computational Linguistics for Linguistic Complexity (CL4LC). Osaka, Japan, December 11-17 2016. As a part of Coling 2016. 26th International Conference on Computational Linguistics
N2  - Language complexity is an intriguing phenomenon argued to play an important role in both language learning and processing. The need to compare languages with regard to their complexity resulted in a multitude of approaches and methods, ranging from accounts targeting specific structural features to global quantification of variation more generally. In this paper, we investigate the degree to which morphological complexity measures are mutually correlated in a sample of more than 500 languages of 101 language families. We use human expert judgements from the World Atlas of Language Structures (WALS), and compare them to four quantitative measures automatically calculated from language corpora. These consist of three previously defined corpus-derived measures, which are all monolingual, and one new measure based on automatic word-alignment across pairs of languages. We find strong correlations between all the measures, illustrating that both expert judgements and automated approaches converge to similar complexity ratings, and can be used interchangeably.
Y1  - 2016
U6  - https://nbn-resolving.org/urn:nbn:de:bsz:mh39-53797
UN  - https://nbn-resolving.org/urn:nbn:de:bsz:mh39-53797
UR  - https://sites.google.com/site/cl4lc2016/home
SN  - 978-4-87974-709-9
SB  - 978-4-87974-709-9
SP  - 142
EP  - 153
ER  -