Language change quantification using time-separated parallel translations

Simple item page
dc.citation.epage393en_US
dc.citation.issueNumber4en_US
dc.citation.spage375en_US
dc.citation.volumeNumber22en_US
dc.contributor.authorAltintas, K.en_US
dc.contributor.authorCan F.en_US
dc.contributor.authorPatton J.M.en_US
dc.date.accessioned2016-02-08T10:12:27Z
dc.date.available2016-02-08T10:12:27Z
dc.date.issued2007en_US
dc.departmentDepartment of Computer Engineeringen_US
dc.description.abstractWe introduce a systematic approach to language change quantification by studying unconsciously used language features in time-separated parallel translations. For this purpose, we use objective style markers such as vocabulary richness and lengths of words, word stems and suffixes, and employ statistical methods to measure their changes over time. In this study, we focus on the change in Turkish in the second half of the twentieth century. To obtain word stems, we first introduce various stemming techniques and show that they are highly effective. Our statistical analyses show that over time, for both text and lexicon, the length of Turkish words has become significantly longer, and word stems have become significantly shorter. We also show that suffix lengths have become significantly longer for types and the vocabulary richness based on word stems has shrunk significantly. These observations indicate that in contemporary Turkish one would use more suffixes to compensate for the fewer stems to preserve the expressive power of the language at the same level. Our approach can be adapted for quantifying the change in other languages. © The Author 2007. Published by Oxford University Press on behalf of ALLC and ACH. All rights reserved.en_US
dc.identifier.doi10.1093/llc/fqm026en_US
dc.identifier.issn0268-1145
dc.identifier.urihttp://hdl.handle.net/11693/23342
dc.language.isoEnglishen_US
dc.relation.isversionofhttp://dx.doi.org/10.1093/llc/fqm026en_US
dc.source.titleLiterary and Linguistic Computingen_US
dc.titleLanguage change quantification using time-separated parallel translationsen_US
dc.typeArticleen_US
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Language change quantification using time-separated parallel translations.pdf
Size:
211.35 KB
Format:
Adobe Portable Document Format
Description:
Full Printable Version
Download
Collections
Department of Computer Engineering