Handwriting recognition for Scottish Gaelic
Handwriting recognition for Scottish Gaelic
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发表时间：
2022
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通讯作者：
W. Lamb;Beatrice Alex;M. Sinclair
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作者：
W. Lamb;Beatrice Alex;M. Sinclair
与大多数其他少数民族语言一样，苏格兰盖尔语可用于自然语言处理研究和应用的工具和资源有限。这些限制限制了语言参与现代语音技术的潜力，同时也限制了语料库语言学和数字人文等领域的研究。与此同时，盖尔语有着悠久的文字历史，在语言上有很好的描述，并且在潜在的 NLP 训练数据方面得到了异常良好的支持。例如，苏格兰研究学院等档案馆保存着数千份白话语音的数字化录音，其中许多已被转录为纸质手写手稿。在本文中，我们描述了一个对手写叙述转录语料库进行数字化和识别的项目，目的是重新利用它来开发盖尔语语音识别系统。
Like most other minority languages, Scottish Gaelic has limited tools and resources available for Natural Language Processing research and applications. These limitations restrict the potential of the language to participate in modern speech technology, while also restricting research in fields such as corpus linguistics and the Digital Humanities. At the same time, Gaelic has a long written history, is well-described linguistically, and is unusually well-supported in terms of potential NLP training data. For instance, archives such as the School of Scottish Studies hold thousands of digitised recordings of vernacular speech, many of which have been transcribed as paper-based, handwritten manuscripts. In this paper, we describe a project to digitise and recognise a corpus of handwritten narrative transcriptions, with the intention of re-purposing it to develop a Gaelic speech recognition system.