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Vocation Identification in Swedish Fiction.

Conference paper
Authors Dimitrios Kokkinakis
Ann Ighe
Mats Malm
Published in Proceedings of the Fifth Swedish Language Technology Conference (SLTC)
Pages 3
Publication year 2014
Published at Department of Literature, History of Ideas, and Religion
Department of Swedish
Department of Economy and Society, Economic History
Pages 3
Language en
Links www2.lingfil.uu.se/SLTC2014/program...
Keywords vocation, occupational titles, prose fiction
Subject categories Language Technology (Computational Linguistics), Computational linguistics

Abstract

This paper presents a system for automatic annotation of vocational signals in 19th century Swedish prose fiction. Besides vocation identification, the system assigns gender (male, female, unknown) to the vocation words. Since gender is a prominent attribute of first names, we apply a named-entity recognizer (NER) that uses first name gazetteers where each name has been pre-assigned gender, which aids gender assignment to vocations with unknown gender if appropriate context is available. We also use a statistical modelling method, conditional random fields (CRF), for learning gender-assigned vocations in combination with the results of the NER and other pattern matching techniques. The purpose of this work is to develop and apply tools to literature as means to expand our understanding of history in the area of literature-based gender studies, e.g. investigate how women enter literature, which functions do they assume and their working patterns. Vocation identification can be used as one such indicator for achieving some these goals.

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