Spelling Normalisation and Linguistic Analysis of Historical Text for Information Extraction

Spelling Normalisation and Linguistic Analysis of Historical Text for Information Extraction

Historical text constitutes a rich source of information for historians and other researchers in humanities. Many texts are however not available in an electronic format, and even if they are, there is a lack of NLP tools designed to handle historical text. In my thesis, I aim to provide a generic w...

Full description

Bibliographic Details
Main Author: Pettersson, Eva
Format: Doctoral Thesis
Language:English
Published: Uppsala universitet, Institutionen för lingvistik och filologi 2016
Subjects:
NLP for historical text
spelling normalisation
digital humanities
information extraction
character-based statistical machine translation
SMT
Levenshtein edit distance
language technology
computational linguistics
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-269753
http://nbn-resolving.de/urn:isbn:978-91-554-9443-8

Internet

http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-269753
http://nbn-resolving.de/urn:isbn:978-91-554-9443-8

Similar Items