Theoretical linguistics traditionally relies on linguistic intuitions such as grammaticality judgments for data. But the massive growth of language technologies has made the spontaneous use of language in natural settings a rich and easily accessible alternative source of data. Moreover, studies of usage as well as intuitive judgments have shown that linguistic intuitions of grammaticality are deeply flawed, because (1) they seriously underestimate the space of grammatical possibility by ignoring the effects of multiple conflicting formal, semantic, and contextual constraints, and (2) they may reflect probability instead of grammaticality. Both of these points are richly exemplified by studies of the English dative alternation (Green 1971; ...
International audienceCorpus linguists dig into large-scale collections of texts to better understan...
The present study explores variability in the hidden probabilistic constraints that fuel the variati...
The question of how to accommodate probabilistic variability in models of grammatical knowledge has ...
Theoretical linguistics traditionally relies on linguistic intuitions such as grammatical-ity judgme...
Theoretical linguistics traditionally relies on linguistic intuitions such as grammatical-ity judgme...
Theoretical linguistics traditionally relies on linguistic intuitions such as grammatical-ity judgme...
Theoretical linguists have traditionally relied on linguistic intuitions such as grammaticality judg...
Theoretical linguists have traditionally relied on linguistic intuitions such as grammaticality judg...
This study is part of the project "Exploring probabilistic grammar(s) in varieties of English around...
The present study explores variability in the hidden – though cognitively ‘real ’ – probabilistic c...
This thesis grew out of the project "Exploring probabilistic grammar(s) in varieties of English arou...
While there is preliminary evidence about the importance of register in linguistic choice-making pro...
Theoretical linguists have traditionally relied on linguistic intuitions such as gram-maticality jud...
Corpus linguists dig into large-scale collections of texts to better understand the rules governing ...
International audienceCorpus linguists dig into large-scale collections of texts to better understan...
International audienceCorpus linguists dig into large-scale collections of texts to better understan...
The present study explores variability in the hidden probabilistic constraints that fuel the variati...
The question of how to accommodate probabilistic variability in models of grammatical knowledge has ...
Theoretical linguistics traditionally relies on linguistic intuitions such as grammatical-ity judgme...
Theoretical linguistics traditionally relies on linguistic intuitions such as grammatical-ity judgme...
Theoretical linguistics traditionally relies on linguistic intuitions such as grammatical-ity judgme...
Theoretical linguists have traditionally relied on linguistic intuitions such as grammaticality judg...
Theoretical linguists have traditionally relied on linguistic intuitions such as grammaticality judg...
This study is part of the project "Exploring probabilistic grammar(s) in varieties of English around...
The present study explores variability in the hidden – though cognitively ‘real ’ – probabilistic c...
This thesis grew out of the project "Exploring probabilistic grammar(s) in varieties of English arou...
While there is preliminary evidence about the importance of register in linguistic choice-making pro...
Theoretical linguists have traditionally relied on linguistic intuitions such as gram-maticality jud...
Corpus linguists dig into large-scale collections of texts to better understand the rules governing ...
International audienceCorpus linguists dig into large-scale collections of texts to better understan...
International audienceCorpus linguists dig into large-scale collections of texts to better understan...
The present study explores variability in the hidden probabilistic constraints that fuel the variati...
The question of how to accommodate probabilistic variability in models of grammatical knowledge has ...