Abstract The use of null hypotheses (in a statistical sense) is common in hard sci-ences but not in theoretical linguistics. Here the null hypothesis that the low fre-quency of syntactic dependency crossings is expected by an arbitrary ordering of words is rejected. It is shown that this would require star dependency structures, which are both unrealistic and too restrictive. The hypothesis of the limited re-sources of the human brain is revisited. Stronger null hypotheses taking into account actual dependency lengths for the likelihood of crossings are presented. Those hy-potheses suggests that crossings are likely to reduce when dependencies are short-ened. A hypothesis based on pressure to reduce dependency lengths is more parsi-monious ...
An important aspect of language acquisition involves learning nonadjacent dependencies between words...
Processing non-adjacent dependencies is considered to be one of the hallmarks of human language. Ass...
The syntactic structure of a sentence can be modelled as a tree, where vertices correspond to words ...
The use of null hypotheses (in a statistical sense) is common in hard sciences but not in theoretica...
The syntactic structure of a sentence can be modeled as a tree where vertices are words and edges in...
The structure of a sentence can be represented as a network where vertices are words and edges indic...
The syntactic structure of sentences exhibits a striking regularity: dependencies tend to not cross ...
This paper argues that various important results of formal language theory (e.g., the so-called Chom...
Item does not contain fulltextA recent hypothesis in empirical brain research on language is that th...
It has been hypothesized that the rather small number of crossings in real syntactic de...
A prominent principle in explaining a range of word-order regularities is dependency locality, which...
Processing non-adjacent dependencies is considered to be one of the hallmarks of human language. Ass...
A recent hypothesis in empirical brain research on language is that the fundamental difference betwe...
The open-ended character of natural languages calls for the hypothesis that humans are endowed with ...
International audienceNonadjacent dependencies are present whenevera relation exists between two eve...
An important aspect of language acquisition involves learning nonadjacent dependencies between words...
Processing non-adjacent dependencies is considered to be one of the hallmarks of human language. Ass...
The syntactic structure of a sentence can be modelled as a tree, where vertices correspond to words ...
The use of null hypotheses (in a statistical sense) is common in hard sciences but not in theoretica...
The syntactic structure of a sentence can be modeled as a tree where vertices are words and edges in...
The structure of a sentence can be represented as a network where vertices are words and edges indic...
The syntactic structure of sentences exhibits a striking regularity: dependencies tend to not cross ...
This paper argues that various important results of formal language theory (e.g., the so-called Chom...
Item does not contain fulltextA recent hypothesis in empirical brain research on language is that th...
It has been hypothesized that the rather small number of crossings in real syntactic de...
A prominent principle in explaining a range of word-order regularities is dependency locality, which...
Processing non-adjacent dependencies is considered to be one of the hallmarks of human language. Ass...
A recent hypothesis in empirical brain research on language is that the fundamental difference betwe...
The open-ended character of natural languages calls for the hypothesis that humans are endowed with ...
International audienceNonadjacent dependencies are present whenevera relation exists between two eve...
An important aspect of language acquisition involves learning nonadjacent dependencies between words...
Processing non-adjacent dependencies is considered to be one of the hallmarks of human language. Ass...
The syntactic structure of a sentence can be modelled as a tree, where vertices correspond to words ...