Chapter Towards automated language classification A clustering approach
In this paper, we discuss advantages of clustering approaches to automated language classification, describe distance measures used for this purpose, and present results of several proof-of-concept experiments. We advocate the use of probability based distances - those that take into account the dis...
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| Other Authors: | , , , , |
| Format: | Electronic Book Chapter |
| Language: | English |
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Berlin/Boston
De Gruyter
2013
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| Online Access: | OAPEN Library: download the publication OAPEN Library: description of the publication |
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| 700 | 1 | |a Lupas, Andrei |4 auth | |
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| 700 | 1 | |a Borin, Lars |4 edt | |
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| 700 | 1 | |a Borin, Lars |4 oth | |
| 245 | 1 | 0 | |a Chapter Towards automated language classification |b A clustering approach |
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| 520 | |a In this paper, we discuss advantages of clustering approaches to automated language classification, describe distance measures used for this purpose, and present results of several proof-of-concept experiments. We advocate the use of probability based distances - those that take into account the distribution of relevant features across the language sample in question | ||
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