Minimization of dependency length in written English.

By David Temperley. 2007

163 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Language and Linguistics, Natural Language Processing

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Citations in the corpus

Structure-to-Text Generation with Self-Training, Acceptability Classifiers and Context-Conditioning for the GEM Shared Task (2021, background): “Given the tendency to put heavier constituents towards the end of a sentence in English (Hawkins, 1994; Gibson, 2000; Temperley, 2007; Rajkumar et al., 2016), we additionally sorted siblings by increasing subtree depth, breaking ties by sorting alphabetically on predicate names.”
Predicting syntax: Processing dative constructions in American and Australian varieties of English (2010, methodology): “To cite just a few relevant findings , (i) the frequencies of double object constructions with the same set of verbs in British and American English in the 19th and early 20th centuries have been diverging (Rohdenburg 2007); (ii) Indian English has higher overall rates of prepositional dative than B”
The effects of sentence length on dependency distance, dependency direction and the implications–Based on a parallel English–Chinese dependency treebank (2015, background): “While calculating dependency distance, some studies mix the sentences with varying length (Hudson, 1995; Hiranuma,1999; Temperley, 2007; Liu, 2007, 2008; Gildea and Temperley, 2010); some others control the sentence length but do not control the genre or style of the texts (Ferrer-i-Cancho, 2004); s”
Investigating locality effects and surprisal in written English syntactic choice phenomena. (2016, methodology): “Premodifying Adjuncts A closer look at Temperley’s (2007) original corpus study also revealed counter-examples to dependency length minimization.”
Dependency Distance as a Metric of Language Comprehension Difficulty (2008, background): “In the present study, complexity is measured as average dependency distance in a sentence, which is not similar to Temperley (2007) that measure the complexity using the total length of all dependencies in a sentence.”