Semantic Pathways: A novel visualisation of varieties of English

John Anderson, Chris Rowland, Eric Atwell, Claire Brierley (Lead / Corresponding author)

Research output: Contribution to journalArticle

Abstract

Semantic Pathways is a corpus exploration tool with a unique visual interface in
which keyword extraction and keyword-based document clustering have been
implemented in order to facilitate insight forming. Semantic Pathways combines
corpus comparison techniques from Corpus Linguistics with aesthetically driven design and interaction, to produce fluidly interactive information exploration. In addition, users can access Semantic Pathways via a command-line
interface, where integration with Python and NLTK offers additional benefits.
We describe system operation from the user’s perspective, and then use the tool
for corpus comparison of different varieties of English with the LOB and Brown
corpora as test and reference sets, demonstrating its novelty in gisting an entire
document collection and speedy and intuitive exploration of lexical usage across
the document set.
Original languageEnglish
Pages (from-to)5-36
Number of pages31
JournalInternational Computer Archive of Modern and Medieval English
Volume37
Publication statusPublished - Apr 2013

Keywords

  • Data Visualisation
  • Natural Language Processing
  • Corpus Linguistics

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