Language Change Quantification Using Time-separated Parallel Translations.
We 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 statis...
| Published in: | Literary & Linguistic Computing Vol. 22; no. 4; pp. 375 - 394 |
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| Main Authors: | , , |
| Format: | Article |
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Oxford University Press / USA
Nov2007
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| Subjects: | |
| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=27938222&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 27938222 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 02681145 BJ1 jtl: Literary & Linguistic Computing issn: 02681145 maglogo: N pubinfo: dt: Nov2007 vid: 22 iid: 4 pid: 622 pub: Oxford University Press / USA artinfo: ui: 27938222 10.1093/llc/fqm026 ppf: 375 ppct: 19 formats: fmt: @attributes: type: P size: 175KB tig: atl: Language Change Quantification Using Time-separated Parallel Translations. aug: au: Altintas, Kemal Can, Fazli Patton, Jon M. affil: Computer Science Department, University of California, Irvine, Irvine, CA 92612, USA Computer Science and Systems Analysis Department, Miami University, Oxford, OH 45056, USA Information Technology Services, Miami University, Oxford, OH 45056, USA su: Language & languages Vocabulary Translations Lexicology Linguistics Loanwords Ethnology Anthropology Lexicon sug: subj: Language & languages Vocabulary Translations Lexicology Linguistics Loanwords Ethnology Anthropology Lexicon ab: We 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. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: © 2019 EADH: The European Association for Digital Humanities. item: Literary & Linguistic Computing holder: Oxford University Press / USA dt: @attributes: year: 2007 holdings: @attributes: islocal: N |
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