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Anti Dependency Distance Minimization in Short Sequences. A Graph Theoretic Approach
Ramon Ferrer-i-Cancho, Carlos Gómez-Rodríguez, 2021. Journal of Quantitative Linguistics.
Shows that in very short sentences the usual tendency to keep related words close can reverse, using a graph-theoretic treatment of dependency distance.
What it's used for here
The emerging-methods survey cites it on word-order principles that could be tested on the manuscript's short lines.
Cited by on this site 1 record
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SRCMathematics
Cite it
Ferrer-i-Cancho, R., & Gómez-Rodríguez, C. (2021). Anti Dependency Distance Minimization in Short Sequences. A Graph Theoretic Approach. Journal of Quantitative Linguistics. https://doi.org/10.1080/09296174.2019.1645547
@article{ferrericancho2021anti,
author = {Ferrer-i-Cancho, Ramon and Gómez-Rodríguez, Carlos},
title = {Anti Dependency Distance Minimization in Short Sequences. A Graph Theoretic Approach},
journal = {Journal of Quantitative Linguistics},
year = {2021},
doi = {10.1080/09296174.2019.1645547},
url = {https://doi.org/10.1080/09296174.2019.1645547}
}TY - JOUR TI - Anti Dependency Distance Minimization in Short Sequences. A Graph Theoretic Approach AU - Ferrer-i-Cancho, Ramon AU - Gómez-Rodríguez, Carlos PY - 2021 JO - Journal of Quantitative Linguistics DO - 10.1080/09296174.2019.1645547 UR - https://doi.org/10.1080/09296174.2019.1645547 ER -
Ferrer-i-Cancho, Ramon and Carlos Gómez-Rodríguez. “Anti Dependency Distance Minimization in Short Sequences. A Graph Theoretic Approach.” Journal of Quantitative Linguistics (2021). https://doi.org/10.1080/09296174.2019.1645547.