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Chapter 11. Generic analysis of mobile application reviews in English and Spanish

A contrastive corpus-based study
  • Natalia Mora López
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Corpora in Translation and Contrastive Research in the Digital Age
This chapter is in the book Corpora in Translation and Contrastive Research in the Digital Age

Abstract

In this paper, the Systemic Functional Linguistics (SFL) approach to genre is applied to English and Spanish mobile application reviews from Google Play Store. These reviews are shown to be divisible into two optional stages, namely Evaluation and Description, the first part being more subjective and based on the author’s opinion and the second one more objective and focused on describing issues. The frequency of use of the Attitude axis from Appraisal Theory provides support for the distinction of those stages. The combination of the polarity of the contents of each stage together with the number of stars given to the item reviewed creates six patterns for the reviews. However, no noticeable differences between English and Spanish reviews were observed.

Abstract

In this paper, the Systemic Functional Linguistics (SFL) approach to genre is applied to English and Spanish mobile application reviews from Google Play Store. These reviews are shown to be divisible into two optional stages, namely Evaluation and Description, the first part being more subjective and based on the author’s opinion and the second one more objective and focused on describing issues. The frequency of use of the Attitude axis from Appraisal Theory provides support for the distinction of those stages. The combination of the polarity of the contents of each stage together with the number of stars given to the item reviewed creates six patterns for the reviews. However, no noticeable differences between English and Spanish reviews were observed.

Chapters in this book

  1. Prelim pages i
  2. Table of contents v
  3. Corpus resources and tools 1
  4. Part I. Corpus resources and tools
  5. Chapter 1. Now what ? 23
  6. Chapter 2. ZHEN 49
  7. Chapter 3. Word alignment in a parallel corpus of Old English prose 75
  8. Chapter 4. Semantic textual similarity based on deep learning 101
  9. Chapter 5. TAligner 3.0 125
  10. Chapter 6. Developing a corpus-informed tool for Spanish professionals writing specialised texts in English 147
  11. Part II. Corpus-based studies and explorations
  12. Chapter 7. English and Spanish discourse markers in translation 177
  13. Chapter 8. The discourse markers well and so and their equivalents in the Portuguese and Turkish subparts of the TED-MDB corpus 209
  14. Chapter 9. Variation of evidential values in discourse domains 233
  15. Chapter 10. The translation for dubbing of Westerns in Spain 257
  16. Chapter 11. Generic analysis of mobile application reviews in English and Spanish 283
  17. Chapter 12. Exploring variation in translation with probabilistic language models 307
  18. Chapter 13. Binomial adverbs in Germanic and Romance Languages 325
  19. Index 343
https://doi.org/10.1075/btl.158.11mor

Chapters in this book

  1. Prelim pages i
  2. Table of contents v
  3. Corpus resources and tools 1
  4. Part I. Corpus resources and tools
  5. Chapter 1. Now what ? 23
  6. Chapter 2. ZHEN 49
  7. Chapter 3. Word alignment in a parallel corpus of Old English prose 75
  8. Chapter 4. Semantic textual similarity based on deep learning 101
  9. Chapter 5. TAligner 3.0 125
  10. Chapter 6. Developing a corpus-informed tool for Spanish professionals writing specialised texts in English 147
  11. Part II. Corpus-based studies and explorations
  12. Chapter 7. English and Spanish discourse markers in translation 177
  13. Chapter 8. The discourse markers well and so and their equivalents in the Portuguese and Turkish subparts of the TED-MDB corpus 209
  14. Chapter 9. Variation of evidential values in discourse domains 233
  15. Chapter 10. The translation for dubbing of Westerns in Spain 257
  16. Chapter 11. Generic analysis of mobile application reviews in English and Spanish 283
  17. Chapter 12. Exploring variation in translation with probabilistic language models 307
  18. Chapter 13. Binomial adverbs in Germanic and Romance Languages 325
  19. Index 343
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