Cluster Analysis for Commonalities Between Words of Different Languages

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Applied Computing & Information Technology

Part of the book series: Studies in Computational Intelligence ((SCI,volume 619))

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Abstract

The origin of Native American peoples (the Indians) has been a topic of research for many years. Although DNA research has begun to make some progress, there are several competing theories that have yet to be disproved. One of the areas that may reveal the possible relations between Native Americans and other people is through the study of their languages. In this paper, we present a clustering analysis of n = 815 commonly used words in eight different languages including five western languages (English, German, French, Spanish, Italian), an ancient language (Latin), an Asian language (Japanese), and the language of a Native American tribe (Ojibwa). Several similarity measures were established in our clustering analysis using both the word spellings and phonic equivalents (metaphones), in an attempt to discover any underlying relationships between these languages. The results tend to support one of the leading theories describing how Native American tribes, specifically the Ojibwa people, arrived in North America.

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References

  1. Baker, L.D., McCallum, A.K.: Distributional clustering of words for text classification. In: Proceedings of the 21st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 96–103. ACM (1998)

    Google Scholar 

  2. Biemann, C.: Chinese whispers: an efficient graph clustering algorithm and its application to natural language processing problems. In: Proceedings of the First Workshop on Graph Based Methods for Natural Language Processing, pp. 73–80. Association for Computational Linguistics (2006)

    Google Scholar 

  3. Damerau, F.J.: A technique for computer detection and correction of spelling errors. Commun. ACM 7(3), 171–176 (1964)

    Article  Google Scholar 

  4. FindTheData: Compare common words translated. http://common-words-translated.findthedata.com

  5. Heeringa, W., Kleiweg, P., Gooskens, C., Nerbonne, J.: Evaluation of string distance algorithms for dialectology. In: Proceedings of the Workshop on Linguistic Distances, pp. 51–62. Association for Computational Linguistics (2006)

    Google Scholar 

  6. Johnson, R.A., Wichern, D.W.: Applied Multivariate Statistical Analysis, 6th edn. Pearson Prentice Hall (2007)

    Google Scholar 

  7. Kondrak, G.: N-gram similarity and distance. In: String processing and information retrieval, pp. 115–126. Springer (2005)

    Google Scholar 

  8. Levenshtein, V.: Binary codes capable of correcting deletions, insertions, and reversals. Sov. Phys. Dokl. 10(8), 707–710 (1965)

    MathSciNet  MATH  Google Scholar 

  9. Lin, D.: Automatic retrieval and clustering of similar words. In: Proceedings of the 36th Annual Meeting of the Association for Computational Linguistics and 17th International Conference on Computational Linguistics, vol. 2, pp. 768–774. Association for Computational Linguistics (1998)

    Google Scholar 

  10. Manning, C.D., Schütze, H.: Foundations of Statistical Natural Language Processing. MIT press (1999)

    Google Scholar 

  11. Pereira, F., Tishby, N., Lee, L.: Distributional clustering of English words. In: Proceedings of the 31st Annual Meeting on Association for Computational Linguistics, pp. 183–190. Association for Computational Linguistics (1993)

    Google Scholar 

  12. Philips, L.: Hanging on the metaphone. Comput. Lang. 7(12), 39–43 (1990)

    Google Scholar 

  13. Serva, M., Petroni, F.: Indo-European languages tree by Levenshtein distance. EPL (Europhys. Lett.) 81(6), 68,005 (2008)

    Google Scholar 

  14. SIL International: Ethnologue 17th edition website. http://www.ethnologue.com/ethno_docs/introduction.asp

  15. Swadesh, M.: Salish internal relationships. Int. J. Am. Linguist. 16, 157–167 (1950)

    Article  Google Scholar 

  16. Swadesh, M.: The origin and diversification of language. Transaction Publishers (1971)

    Google Scholar 

  17. Wikipedia: Swadesh list. http://en.wikipedia.org/wiki/Swadesh_list

  18. Xu, R., Wunsch, D., et al.: Survey of clustering algorithms. IEEE Trans. Neural Netw. 16(3), 645–678 (2005)

    Article  Google Scholar 

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Correspondence to Gongzhu Hu .

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Daniels, J., Nye, D., Hu, G. (2016). Cluster Analysis for Commonalities Between Words of Different Languages. In: Lee, R. (eds) Applied Computing & Information Technology. Studies in Computational Intelligence, vol 619. Springer, Cham. https://doi.org/10.1007/978-3-319-26396-0_6

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  • DOI: https://doi.org/10.1007/978-3-319-26396-0_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-26394-6

  • Online ISBN: 978-3-319-26396-0

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