Konferensartikel

SWEGRAM – A Web-Based Tool for Automatic Annotation and Analysis of Swedish Texts

Jesper Näsman
Linguistics and Philology, Uppsala University, Sweden

Beáta Megyesi
Linguistics and Philology, Uppsala University, Sweden

Anne Palmér
Scandinavian Languages, Uppsala University, Sweden

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Ingår i: Proceedings of the 21st Nordic Conference on Computational Linguistics, NoDaLiDa, 22-24 May 2017, Gothenburg, Sweden

Linköping Electronic Conference Proceedings 131:16, s. 132-141

NEALT Proceedings Series 29:16, p. 132-141

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Publicerad: 2017-05-08

ISBN: 978-91-7685-601-7

ISSN: 1650-3686 (tryckt), 1650-3740 (online)

Abstract

We present SWEGRAM, a web-based tool for the automatic linguistic annotation and quantitative analysis of Swedish text, enabling researchers in the humanities and social sciences to annotate their own text and produce statistics on linguistic and other text-related features on the basis of this annotation. The tool allows users to upload one or several documents, which are automatically fed into a pipeline of tools for tokenization and sentence segmentation, spell checking, part-of-speech tagging and morpho-syntactic analysis as well as dependency parsing for syntactic annotation of sentences. The analyzer provides statistics on the number of tokens, words and sentences, the number of parts of speech (PoS), readability measures, the average length of various units, and frequency lists of tokens, lemmas, PoS, and spelling errors. SWEGRAM allows users to create their own corpus or compare texts on various linguistic levels.

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