Add to ORKGInternational audienceThis present pilot study investigates the relationship between dependency distance and frequency based on the analysis of an English dependency treebank. The preliminary result shows that there is a non-linear relation between dependency distance and frequency. This relation between them can be further formalized as a power law function which can be used to predict the distribution of dependency distance in a treebank
<p>Distribution of correlation coefficients for pairs of neurons (A) and temporal correlation of pop...
The paper evaluates the differences between two currently leading annotation schemes for dependency ...
The most common measure of dependence is the correlation coefficient. Its problem is that it can be ...
International audienceThis present pilot study investigates the relationship between dependency dist...
Linguistic complexity is a measure of the cognitive difficulty of human language processing. The pr...
Here tree dependency structures are studied from three different perspectives: their degree variance...
In this paper, we will develop two kinds of dependency-sensitive distance metrics. The first capture...
<p>Upper left: distance predicted only from longitude and latitude. Upper right: the geographical di...
This study investigates the influence of frequency on the production of bimorphemic words, and consi...
Understanding and developing a correlation measure that can detect general dependencies is not only ...
<p>(a) Frequencies of distances between structurally related genes across the human genome (blue) as...
© 2020 Printed with the permission of Richard Futrell, Roger P. Levy, & Edward Gibson. This work f...
<p>Relationship between human curated distance and topic distance induced by the keyword and Science...
Explaining the variation between human languages and the constraints on that variation is a core goa...
The role of the hierarchical syntactic structure has been controversial in sentence processing: whil...
<p>Distribution of correlation coefficients for pairs of neurons (A) and temporal correlation of pop...
The paper evaluates the differences between two currently leading annotation schemes for dependency ...
The most common measure of dependence is the correlation coefficient. Its problem is that it can be ...
International audienceThis present pilot study investigates the relationship between dependency dist...
Linguistic complexity is a measure of the cognitive difficulty of human language processing. The pr...
Here tree dependency structures are studied from three different perspectives: their degree variance...
In this paper, we will develop two kinds of dependency-sensitive distance metrics. The first capture...
<p>Upper left: distance predicted only from longitude and latitude. Upper right: the geographical di...
This study investigates the influence of frequency on the production of bimorphemic words, and consi...
Understanding and developing a correlation measure that can detect general dependencies is not only ...
<p>(a) Frequencies of distances between structurally related genes across the human genome (blue) as...
© 2020 Printed with the permission of Richard Futrell, Roger P. Levy, & Edward Gibson. This work f...
<p>Relationship between human curated distance and topic distance induced by the keyword and Science...
Explaining the variation between human languages and the constraints on that variation is a core goa...
The role of the hierarchical syntactic structure has been controversial in sentence processing: whil...
<p>Distribution of correlation coefficients for pairs of neurons (A) and temporal correlation of pop...
The paper evaluates the differences between two currently leading annotation schemes for dependency ...
The most common measure of dependence is the correlation coefficient. Its problem is that it can be ...