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Granska API – an Online API for Grammar Checking and Other NLP Services
KTH, School of Electrical Engineering and Computer Science (EECS), Computer Science, Theoretical Computer Science, TCS.
KTH, School of Electrical Engineering and Computer Science (EECS), Computer Science, Theoretical Computer Science, TCS.ORCID iD: 0000-0003-3199-8953
2021 (English)In: Selected contributions from the Eighth Swedish Language Technology Conference (SLTC-2020), 25-27 November 2020 / [ed] Peter Ljunglöf, Simon Dobnik, Richard Johansson, Linköping: Linköping University Electronic Press, 2021, p. 59-65Conference paper, Published paper (Refereed)
Abstract [en]

We present an online API to access a number of Natural Language Processing services developed at KTH. The services work on Swedish text. They include tokenization, part-of-speech tagging, shallow parsing, compound word analysis, word inflection, lemmatization, spelling error detection and correction, grammar checking, and more. The services can be accessed in several ways, including a RESTful interface, direct socket communication, and premade Web forms. The services are open to anyone. The source code is also freely available making it possible to set up another server or run the tools locally. We have also evaluated the performance of several of the services and compared them to other available systems. Both the precision and the recall for the Granska grammar checker are higher than for both Microsoft Word and Google Docs. The evaluation also shows that the recall is greatly improved when combining all the grammar checking services in the API, compared to any one method, and combining services is made easy by the API.

Place, publisher, year, edition, pages
Linköping: Linköping University Electronic Press, 2021. p. 59-65
Series
NEALT Proceedings Series, ISSN 1650-3686, E-ISSN 1650-3740 ; 55
Keywords [en]
online API, grammar checking, Swedish
National Category
Natural Language Processing
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:kth:diva-324296DOI: 10.3384/ecp184175OAI: oai:DiVA.org:kth-324296DiVA, id: diva2:1739473
Conference
Eighth Swedish Language Technology Conference (SLTC-2020), Online, 25-27 November 2020
Note

Part of ISBN 9789179290313

QC 20250331

Available from: 2023-02-25 Created: 2023-02-25 Last updated: 2025-03-31Bibliographically approved

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fulltext(272 kB)268 downloads
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Sjöbergh, JonasKann, Viggo

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CiteExportLink to record
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Citation style
  • apa
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Output format
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