用语音识别技术加速濒危阿拉姆语的记录
NoLoR: An ASR-Based Framework for Expedited Endangered Language Documentation with Neo-Aramaic as a Case Study
- 基于语音识别构建快速记录框架
- 以新阿拉姆语为案例验证可行性
- 适合语言保护与人类学研究者
新阿拉姆语方言的记录被形容为当今闪米特学领域最紧迫的任务。该语言的消亡将对阿卡姆语后裔——如今大多因暴力被迫流离失所而散居各地——造成不可估量的损失。本文开发了一种语音识别（ASR）模型，以加速该濒危语言的记录，并提出名为NoLoR的新框架，实现方法的可推广性。
原文摘要 · Abstract (English)
The documentation of the Neo-Aramaic dialects before their extinction has been described as the most urgent task in all of Semitology today. The death of this language will be an unfathomable loss to the descendents of the indigenous speakers of Aramaic, now predominantly diasporic after forced displacement due to violence. This paper develops an ASR model to expedite the documentation of this endangered language and generalizes the strategy in a new framework we call NoLoR.
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