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DECCA Repurposed: Detecting transcription inconsistencies without an orthographic standard

机译:DECCA重新浏览:检测转录不一致,没有正式标准

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Most language resources and technologies depend on written text, while most endangered languages are primarily spoken. Transcribing speech into text is time consuming and error-prone. We propose a method for finding spelling inconsistencies without recourse to a standard reference dictionary or to a large training corpus, by repurposing a method developed for finding annotation errors. We apply this method to improve quality control of audio transcriptions, with particular focus on under-resourced, primarily oral language varieties, including endangered varieties.
机译:大多数语言资源和技术都依赖于书面文本,而大多数濒危语言主要是讲话的。将语音转录为文本是耗时和容易出错。我们提出了一种方法,用于通过重新修复开发用于查找注释错误的方法来寻找拼写不一致的方法,或者是一个大型训练语料库。我们应用这种方法来提高音频转录的质量控制,特别关注资源欠资源,主要是口语语言品种,包括濒危品种。

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