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Tool for linguistic quality evaluation of student texts
KTH, School of Computer Science and Communication (CSC).
2015 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesisAlternative title
Verktyg för språklig utvärdering av studenttexter (Swedish)
Abstract [en]

Spell checkers are nowadays a common occurrence in most editors. A student writing an essay in school will often have the availability of a spell checker. However, the feedback from a spell checker seldom correlates with the feedback from a teacher. A reason for this being that the teacher has more aspects on which it evaluates a text. The teacher will, as opposed to the the spell checker, evaluate a text based on aspects such as genre adaptation, structure and word variation. This thesis evaluates how well those aspects translate to NLP (Natural Language Processing) and implements those who translate well into a rule based solution called Granska.

Abstract [sv]

Grammatikgranskare finns numera tillgängligt i de flesta ordbehandlare. En student som skriver en uppsats har allt som oftast tillgång till en grammatikgranskare. Dock så skiljer det sig mycket mellan den återkoppling som studenten får från grammatikgranskaren respektive läraren. Detta då läraren ofta har fler aspekter som den använder sig av vid bedömingen utav en elevtext. Läraren, till skillnad från grammatikgranskaren, bedömmer en text på aspekter så som hur väl texten hör till en viss genre, dess struktur och ordvariation. Denna uppsats utforskar hur pass väl dessa aspekter går att anpassas till NLP (Natural Language Processing) och implementerar de som passar väl in i en regelbaserad lösning som heter Granska.

Place, publisher, year, edition, pages
2015.
Keyword [en]
linguistic, spell checker, NLP, natural language processing
Keyword [sv]
lingvistik, grammatikgranskare, NLP
National Category
Computer Science
Identifiers
URN: urn:nbn:se:kth:diva-186434OAI: oai:DiVA.org:kth-186434DiVA: diva2:927314
Educational program
Master of Science in Engineering - Computer Science and Technology
Supervisors
Examiners
Available from: 2016-05-18 Created: 2016-05-11 Last updated: 2016-05-18Bibliographically approved

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fulltext(1389 kB)31 downloads
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File name FULLTEXT01.pdfFile size 1389 kBChecksum SHA-512
4b26159881d66e6df37ed187b00ba73ecaede242b7224c8e7683c3ce42a891a8a6442537ef6b035eb66c56481a14380ec8595c2aaced28958230695b7d6fb191
Type fulltextMimetype application/pdf

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School of Computer Science and Communication (CSC)
Computer Science

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf