24.2996, Books: Natural Language Processing for Historical Texts: Piotrowski

Tue Jul 23 22:49:24 UTC 2013

LINGUIST List: Vol-24-2996. Tue Jul 23 2013. ISSN: 1069 - 4875.

Subject: 24.2996, Books: Natural Language Processing for Historical Texts: Piotrowski

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Date: Tue, 23 Jul 2013 18:49:03
From: David Schlangen [schlangen at morganclaypool.com]
Subject: Natural Language Processing for Historical Texts: Piotrowski

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Title: Natural Language Processing for Historical Texts 
Series Title: Synthesis Lectures on Human Language Technologies  

Publication Year: 2012 
Publisher: Morgan & Claypool Publishers
	   http://www.morganclaypool.com

Book URL: http://www.morganclaypool.com/doi/abs/10.2200/S00436ED1V01Y201207HLT017 

Author: Michael Piotrowski

Electronic: ISBN:  9781608459476 Pages: 157 Price: U.S. $ 30.00 Comment: Purchase at MorganClaypool.com
Paperback: ISBN:  9781608459469 Pages: 157 Price: U.S. $ 45.00

Abstract:

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 historical texts in a variety of languages. The book then discusses specific methods, such as creating part-of-speech taggers for historical languages or handling spelling variation. A final chapter analyzes the relationship between NLP and the digital humanities.

Certain recently emerging textual genres, such as SMS, social media, and chat messages, or newsgroup and forum postings share a number of properties with historical texts, for example, nonstandard orthography and grammar, and profuse use of abbreviations. The methods and techniques required for the effective processing of historical texts are thus also of interest for research in other domains. 

Linguistic Field(s): Computational Linguistics
                     Historical Linguistics

Written In: English  (eng)

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