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Using a Chinese treebank to measure dependency distance
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Haitao Liu
, Richard Hudson und Zhiwei Feng
Veröffentlicht/Copyright:
16. Oktober 2009
Abstract
This article describes a method for calculating the ‘dependency distance’ between the words in a text – i.e. the number of words that separate each word from the word on which it depends syntactically – and reports the results of applying this method to a Chinese treebank. This study shows that Chinese dependencies tend strongly to be governor-final and that the mean dependency distance of words is much higher for Chinese than for other languages that have been studied including English, German and Japanese. It is unclear whether this difference means that Chinese is syntactically more difficult to process.
Published Online: 2009-10-16
Published in Print: 2009-September
© 2009 by Walter de Gruyter GmbH & Co. KG, D-10785 Berlin
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Artikel in diesem Heft
- Using a Chinese treebank to measure dependency distance
- Combining corpus linguistic and psychological data on word co-occurrences: Corpus collocates versus word associations
- Does branching direction determine prominence assignment? An empirical investigation of triconstituent compounds in English
- Syntactic annotation in the Reference Corpus for the Processing of Basque (EPEC): Theoretical and practical issues
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Artikel in diesem Heft
- Using a Chinese treebank to measure dependency distance
- Combining corpus linguistic and psychological data on word co-occurrences: Corpus collocates versus word associations
- Does branching direction determine prominence assignment? An empirical investigation of triconstituent compounds in English
- Syntactic annotation in the Reference Corpus for the Processing of Basque (EPEC): Theoretical and practical issues
- Contents Volume 5 (2009)