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Using Automatic Measurements of Morphological Features to Distinguish Spoken and Written Discourse.

EasyChair Preprint no. 3912

8 pagesDate: July 21, 2020

Abstract

Morphological accuracy, complexity, and awareness are often considered important benchmarks in language acquisition and performance. Though morphology is underexplored in natural language processing, automatic measurement of morphological complexity in English can lend insights into various aspects of text and discourse processing. This study introduces a tool to automatically process morphological complexity in texts. Spoken and written English-learner corpora were analyzed using the tool to explore the relationship between morphological complexity and discourse types.

Keyphrases: learner corpora, morphology, Natural Language Processing

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
@Booklet{EasyChair:3912,
  author = {Rurik Tywoniw and Scott Crossley},
  title = {Using Automatic Measurements of Morphological Features to Distinguish Spoken and Written Discourse.},
  howpublished = {EasyChair Preprint no. 3912},

  year = {EasyChair, 2020}}
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