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Research on Extraction of Simple Modifier-Head Chunks Based on Corpus

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Book cover Chinese Lexical Semantics (CLSW 2019)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 11831))

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Abstract

The purpose of this study is to automatically extract a set of simple modifier-head chunks from a large-scale corpus. By analyzing the distribution of simple modifier-head chunks in usage, a set of formal rules of chunks extraction are formulated and a rule-based automatic extraction algorithm is designed. In the experiment of random sampling, the precision of extraction result with this method reaches 82.63%, which casts light on knowledge extraction based on large-scale corpus.

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Notes

  1. 1.

    “Adjective + noun” modifier-head chunks in Chinese mainly consist of collocations of “disyllable adjective +   + disyllable noun”, such as “ ”(magnificent + de + architecture–a magnificent building).

References

  1. Miller, G.A.: The magical number seven, plus or minus two: some limits on our capacity for processing information. Psychol. Rev. 63, 81–97 (1956)

    Article  Google Scholar 

  2. Becker, J.: The phrasal lexicon. In: Shank, R., Nash-Webber, B.L. (eds.) Theoretical Issues in Natural Language Processing, pp. 60–63. Bolt Beranek & Newman, Cambridge (1975)

    Google Scholar 

  3. Zhou, J.: Reinforce the language chunk teaching to foster the intuition of Chinese. Jinan J. (Philos. Soc. Sci. Ed.) 1 (2007). (in Chinese)

    Google Scholar 

  4. Qian, X.: A preliminary study on Chinese chunk. J. Peking Univ. (Philos. Soc. Sci. Ed.) 5 (2008). (in Chinese)

    Google Scholar 

  5. Lu, B.: Defined, classify and teaching research of Chinese practical chunk. Guangzhou University (2012). (in Chinese)

    Google Scholar 

  6. Xue, X., Shi, C.: The nature of lexical chunks and the hierarchical relationship of the Chinese lexical chunk system. Contemp. Rhetor. 3 (2013). (in Chinese)

    Google Scholar 

  7. Zhan, H.: Methods and tools of retrieving lexical chunks from Corpora. Foreign Lang. Teach. (2011). (in Chinese)

    Google Scholar 

  8. Zhan, H.: Psychological reality of L2 phraseologisms: evidence from phoneme monitoring. Foreign Lang. Foreign Lang. Teach. (2012). (in Chinese)

    Google Scholar 

  9. Jiang, B.: Chinese multi-word chunks extraction for computer aided translation. Chin. J. Inf. Technol. 21(1) ( 2007). (in Chinese)

    Google Scholar 

  10. Xun, E., Rao, G., Xiao, X., Zang, J.: The construction of the BCC corpus in the age of big data. Corpus Linguist. 3(1), 93–109 (2016). (in Chinese)

    Google Scholar 

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Acknowledgement

This study was supported by National Natural Social Foundation of China (16AYY007), Beijing Advanced Innovation Center for Language Resources (TYR17001), Graduate Innovation Foundation in 2019 (19YCX117), the funds of Major Projects of Key Research Bases of Humanities and Social Sciences of the Ministry of Education (16JJD740004).

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Authors and Affiliations

  1. Institute of Big Data and Language Education, Beijing Language and Culture University, Beijing, 100083, China

    Wang Chengwen, Zhang Zheng, Rao Gaoqi, Xun Endong & Miao Jingjing

Authors
  1. Wang Chengwen
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  2. Zhang Zheng
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  3. Rao Gaoqi
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  4. Xun Endong
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  5. Miao Jingjing
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Corresponding author

Correspondence to Xun Endong .

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Editors and Affiliations

  1. National Taiwan Normal University, Taipei, Taiwan

    Jia-Fei Hong

  2. Beijing Information Science and Technology University, Beijing, China

    Yangsen Zhang

  3. Beijing Language and Culture University, Beijing, China

    Pengyuan Liu

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Chengwen, W., Zheng, Z., Gaoqi, R., Endong, X., Jingjing, M. (2020). Research on Extraction of Simple Modifier-Head Chunks Based on Corpus. In: Hong, JF., Zhang, Y., Liu, P. (eds) Chinese Lexical Semantics. CLSW 2019. Lecture Notes in Computer Science(), vol 11831. Springer, Cham. https://doi.org/10.1007/978-3-030-38189-9_37

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  • DOI: https://doi.org/10.1007/978-3-030-38189-9_37

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-38188-2

  • Online ISBN: 978-3-030-38189-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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