The risks of mixing dependency lengths from sequences of different length
Not on the map. Why?
Abstract (arXiv)
Mixing dependency lengths from sequences of different length is a common practice in language research. However, the empirical distribution of dependency lengths of sentences of the same length differs from that of sentences of varying length and the distribution of dependency lengths depends on sentence length for real sentences and also under the null hypothesis that dependencies connect vertices located in random positions of the sequence. This suggests that certain results, such as the distribution of syntactic dependency lengths mixing dependencies from sentences of varying length, could be a mere consequence of that mixing. Furthermore, differences in the global averages of dependency length (mixing lengths from sentences of varying length) for two different languages do not simply imply a priori that one language optimizes dependency lengths better than the other because those differences could be due to differences in the distribution of sentence lengths and other factors.
Key facts. Cited by 7 papers in the map (data through 14 Oct 2026). First posted on arXiv 13 Apr 2013.
Builds on
No reference list yet.
Built on by
Citing papers per year: 2021: 2; 2022: 3; 2023: 1; 2024: 1.
7 papers.
- 2023Contrasting Linguistic Patterns in Human and LLM-Generated News Textcited by 62
- 2021Replicating and Extending "Because Their Treebanks Leak": Graph Isomorphism, Covariants, and Parser Performancecited by 5
- 2021Phylogenetic typologycited by 3
- 2022The distribution of syntactic dependency distancescited by 3
- 2022The expected sum of edge lengths in planar linearizations of trees. Theory and applicationscited by 2
- 2024Work Smarter...Not Harder: Efficient Minimization of Dependency Length in SOV Languagescited by 1
- 2022The Impact of Edge Displacement Vaserstein Distance on UD Parsing Performancecited by 0
- 2024Work Smarter...Not Harder: Efficient Minimization of Dependency Length in SOV Languages29 Apr 2024
- 2023Contrasting Linguistic Patterns in Human and LLM-Generated News Text17 Aug 2023
- 2022The distribution of syntactic dependency distances26 Nov 2022
- 2022The Impact of Edge Displacement Vaserstein Distance on UD Parsing Performance15 Sep 2022
- 2022The expected sum of edge lengths in planar linearizations of trees. Theory and applications12 Jul 2022
- 2021Replicating and Extending "Because Their Treebanks Leak": Graph Isomorphism, Covariants, and Parser Performance1 Jun 2021
- 2021Phylogenetic typology18 Mar 2021