Grammaticality judgement in a word completion task

  • Authors:
  • Alfred Renaud;Fraser Shein;Vivian Tsang

  • Affiliations:
  • Quillsoft Ltd., Toronto, ON, Canada;Bloorview Kids Rehab, Toronto, ON, Canada and Quillsoft Ltd., Toronto, ON, Canada;Bloorview Kids Rehab, Toronto, ON, Canada

  • Venue:
  • CL&W '10 Proceedings of the NAACL HLT 2010 Workshop on Computational Linguistics and Writing: Writing Processes and Authoring Aids
  • Year:
  • 2010

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Abstract

In this paper, we present findings from a human judgement task we conducted on the effectiveness of syntax filtering in a word completion task. Human participants were asked to review a series of incomplete sentences and identify which words from accompanying lists extend the expressions in a grammatically appropriate way. The accompanying word lists were generated by two word completion systems (our own plus a third-party commercial system) where the ungrammatical items were filtered out. Overall, participants agreed more, to a statistically significant degree, with the syntax-filtered systems than with baseline. However, further analysis suggests that syntax filtering alone does not necessarily improve the overall acceptability and usability of the word completion output. Given that word completion is typically employed in applications to aid writing, unlike other NLP tasks, accounting for the role of writer vs. reader becomes critical. Evaluating word completion and, more generally, applications for alternative and augmentative communication (AAC) will be discussed.