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Natural Language Interfaces in Computer Games: A study of NLI accuracy in Risk
KTH, School of Computer Science and Communication (CSC).
KTH, School of Computer Science and Communication (CSC).
2016 (English)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesisAlternative title
Gränssnitt för naturligt språk i datorspel : En studie av NLI-noggrannhet i Risk (Swedish)
Abstract [en]

Developing a Natural Language Interface that can understand everything is a very challenging task due to the varied and ambiguous nature of natural language. However, when confined to a small setting, would it be possible to develop an NLI that through repeated iterations can reach perfect understanding? The chosen setting was Risk and was created in Java. The game used Regex to detect certain key elements in the input and interpreted them accordingly. User studies were used to determine the accuracy of the NLI and based on the incorrectly interpreted input the game was improved upon. This was iterated three times. The conclusion was that, while it would be difficult to have the NLI reach a completely perfect understanding, it is possible to achieve precision close to that.

Place, publisher, year, edition, pages
2016.
National Category
Computer Science
Identifiers
URN: urn:nbn:se:kth:diva-186865OAI: oai:DiVA.org:kth-186865DiVA: diva2:928295
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Available from: 2016-05-18 Created: 2016-05-15 Last updated: 2016-05-18Bibliographically approved

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fulltext(1885 kB)40 downloads
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Type fulltextMimetype application/pdf

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School of Computer Science and Communication (CSC)
Computer Science

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
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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