Language Preservation 2.0: Crowdsourcing Oral Language Documentation using Mobile Devices
Language Preservation 2.0: Crowdsourcing Oral Language Documentation using Mobile Devices
批准号:
1160639
负责人:
Mark Liberman
金额:
$10.15万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2012
资助国家:
美国
项目状态:
已结题
起止时间:
2012-07-01 至 2014-12-31
中文摘要
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英文摘要
Language Preservation 2.0The purpose of this pilot project is to demonstrate the feasibility of a new approach to documenting endangered languages.To allow wide-ranging investigation of a language even after it is no longer spoken, we need the equivalent of the million words of extant biblical Hebrew texts, or the five million words of extant classical Latin. But for endangered languages without a significant culture of literacy, diverse text collections on this scale seem out of reach. Given typical speaking rates of about 10,000 word-equivalents per hour, a hundred hours of recorded speech -- conversations, narratives, or oral histories -- would give us the equivalent of a million words of text. With community involvement, hundreds of hours of such recordings are easily within reach.However, transcribing such large audio collections is a daunting task, given the small number of literate native speakers and the time-consuming nature of such transcription, which can take 200 hours of work for every hour of audio. We propose to solve this problem by substituting re-speaking and verbal translation: one or more native speakers repeats each phrase of a recording, speaking slowly and carefully, and then translates it into a better-documented language.The utility of translated passages as a way to analyze otherwise-unknown languages has been demonstrated many times, starting with the Rosetta Stone. This aspect of our task is easier, since at least a grammatical sketch will in general be available. Our goal in this project is to demonstrate the utility of re-speaking. We believe that linguists, starting out with relatively little knowledge of a language, can produce phonetic transcriptions that will be good enough to support subsequent analysis resulting in coherent texts, in a process analogous to (but easier than) the process that allowed previous generations of scholars to learn to read ancient Egyptian or Sumerian.
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