Volume 93, Number 2, March 2011
|Number of page(s)||6|
|Section||Interdisciplinary Physics and Related Areas of Science and Technology|
|Published online||08 February 2011|
Can syntactic networks indicate morphological complexity of a language?
School of International Studies, Zhejiang University - CHN-310058 Hangzhou, China
2 Institute of Applied Linguistics, Communication University of China - CHN-100024 Beijing, China
Accepted: 10 January 2011
In this study, the complex-network approaches are employed to investigate the word form networks and the lemma networks extracted from dependency syntactic treebanks of fifteen different languages. The results show that it is possible to classify human languages by means of the main parameters of complex networks. The complex-network approaches can obtain language classifications as precise as achieved by contemporary word order typology. Clustering experiments point to the fact that the difference between the word form networks and the lemma networks can make for a better classification of languages. In short, the dependency syntactic networks can reflect morphological variation degrees and morphological complexity.
PACS: 89.75.Da – Systems obeying scaling laws / 89.75.Fb – Structures and organization in complex systems / 89.75.Hc – Networks and genealogical trees
© EPLA, 2011
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.