Natural language processing and early-modern dirty data: applying IBM Languageware to the 1641 depositions
Natural language processing and early-modern dirty data: applying IBM Languageware to the 1641 depositions
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自然语言处理和早期现代脏数据:将 IBM Languageware 应用于 1641 份证词
DOI:
10.1093/llc/fqr050
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发表时间:
2011
期刊:
影响因子:
--
通讯作者:
Sweetnam M
中科院分区:
文献类型:
--
作者:
Sweetnam M
This article provides an account of the steps involved in adapting IBM'sLanguagewarenatural language processing software to a large corpus of highly non-standard 17th century documents. It examines the challenges encountered as part of this process, and outlines the approach adopted to provide a robust and reusable tool for the linguistic analysis of early modern source texts.
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影响因子:
2.3
作者:
Annette Gotscharek;Ulrich Reffle;Christoph Ringlstetter;K. Schulz;Andreas W. Neumann
通讯作者:
Andreas W. Neumann
DOI:
--
发表时间:
2007
期刊:
TSLP
影响因子:
--
作者:
Christoph Ringlstetter;K. Schulz;S. Mihov
通讯作者:
S. Mihov
DOI:
--
发表时间:
2009
期刊:
Workshop on Analytics for Noisy Unstructured Text Data
影响因子:
--
作者:
Annette Gotscharek;Andreas W. Neumann;Ulrich Reffle;Christoph Ringlstetter;K. Schulz
通讯作者:
K. Schulz
DOI:
--
发表时间:
2009
期刊:
ACM Symposium on Document Engineering
影响因子:
--
作者:
Annette Gotscharek;Ulrich Reffle;Christoph Ringlstetter;K. Schulz
通讯作者:
K. Schulz
DOI:
--
发表时间:
2007
期刊:
ACM/IEEE Joint Conference on Digital Libraries
影响因子:
--
作者:
Andrea Ernst;N. Fuhr
通讯作者:
N. Fuhr