Search for dissertations about: "NLP for historical text"

Found 1 swedish dissertation containing the words NLP for historical text.

2. 1. Spelling Normalisation and Linguistic Analysis of Historical Text for Information Extraction

   Author : Eva Pettersson; Joakim Nivre; Beáta Megyesi; Michael Piotrowski; Uppsala universitet; []
   Keywords : NLP for historical text; spelling normalisation; digital humanities; information extraction; character-based statistical machine translation; SMT; Levenshtein edit distance; language technology; computational linguistics; Computational Linguistics; Datorlingvistik;

   Abstract : 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. READ MORE