| 書目名稱 | Natural Language Processing for Historical Texts | | 編輯 | Michael Piotrowski | | 視頻video | http://file.papertrans.cn/662/661842/661842.mp4 | | 叢書名稱 | Synthesis Lectures on Human Language Technologies | | 圖書封面 |  | | 描述 | More and more historical texts are becoming available in digital form. Digitization of paper documents is motivated by the aim of preserving cultural heritage and making it more accessible, both to laypeople and scholars. As digital images cannot be searched for text, digitization projects increasingly strive to create digital text, which can be searched and otherwise automatically processed, in addition to facsimiles. Indeed, the emerging field of digital humanities heavily relies on the availability of digital text for its studies. Together with the increasing availability of historical texts in digital form, there is a growing interest in applying natural language processing (NLP) methods and tools to historical texts. However, the specific linguistic properties of historical texts -- the lack of standardized orthography, in particular -- pose special challenges for NLP. This book aims to give an introduction to NLP for historical texts and an overview of the state of the art in this field. The book starts with an overview of methods for the acquisition of historical texts (scanning and OCR), discusses text encoding and annotation schemes, and presents examples of corpora of his | | 出版日期 | Book 2012 | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-031-02146-6 | | isbn_softcover | 978-3-031-01018-7 | | isbn_ebook | 978-3-031-02146-6Series ISSN 1947-4040 Series E-ISSN 1947-4059 | | issn_series | 1947-4040 | | copyright | Springer Nature Switzerland AG 2012 |
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