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Erschienen in:
Building a Collation Element Table for a Large Chinese Character Set in YES Kapitel lesen Erstes Kapitel lesen

2015 | OriginalPaper | Buchkapitel

A Three-Layered Collocation Extraction Tool and Its Application in China English Studies

verfasst von : Jingxiang Cao, Dan Li, Degen Huang

Erschienen in: Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data

Verlag: Springer International Publishing

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Abstract

We design a three-layered collocation extraction tool by integrating syntactic and semantic knowledge and apply it in China English studies. The tool first extracts peripheral collocations in the frequency layer from dependency triples, then extracts semi-peripheral collocations in the syntactic layer by association measures, and last extracts core collocations in the semantic layer with a similar word thesaurus. The syntactic constraints filter out much noise from surface co-occurrences, and the semantic constraints are effective in identifying the very “core” collocations. The tool is applied to automatically extract collocations from a large corpus of China English we compile to explore how China English as a variety of English is nativilized. Then we analyze similarities and differences of the typical China English collocations of a group of verbs. The tool and results can be applied in the compilation of language resources for Chinese-English translation and corpus-based China studies.

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Vorheriges Kapitel Incorporating Word Clustering into Complex Noun Phrase Identification
Nächstes Kapitel The Designing and Construction of Domain-oriented Vietnamese-English-Chinese FrameNet
Fußnoten
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Metadaten
Titel
A Three-Layered Collocation Extraction Tool and Its Application in China English Studies
verfasst von
Jingxiang Cao
Dan Li
Degen Huang
Copyright-Jahr
2015
Buch
Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data

Print ISBN: 978-3-319-25815-7

Electronic ISBN: 978-3-319-25816-4

Copyright-Jahr: 2015

DOI
https://doi.org/10.1007/978-3-319-25816-4_4

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