analysis of the “gone with the wind” and its simplified version in terms of lexical structure
Clicks: 108
ID: 247851
2013
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This
article has not been analysed, so there is no overall score —
reader engagement is measured and shown alongside.
Reader Engagement
Popular Article
30.0
/100
108 views
30 readers
AI Quality Assessment
Not analyzed
Readership in this journal
PopularRanked #105 of 115 articles by views in neuropeptides
Most read
Least read
Bar heights use a square-root scale.
Mint this article as an NFT
Not yet mintedCreate a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.
5
SUSD
one-off · no wallet required
Abstract
The simplification of written texts is one way for second language learners to access the general message of authentic texts. This linguistic simplification may facilitate the process of learning for non-native speakers but, at the same time, it may perilously reduce their utility for language learning by producing a text that is more difficult to the learners. This study aimed to find out to what extent an intuitively developed simplified version of a text is appropriately written in terms of lexical structure when compared to its original version. In this regard, the original and simplified versions of the novel “Gone with the wind” were compared. The digitized pages of the original and simplified versions were entered into the software of Wordsmith 4.0 for further analysis. The results revealed low percentage of similar words, content words, and key words in the simplified version as compared to the original one. In addition, the high density and low consistency ratios in the simplified version indicates its high compactness, which may decrease its pedagogical value for learning vocabulary and reading comprehension.
| Reference Key |
ahour2013internationalanalysis
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | ;Touran Ahour;Mahnaz Rasoulizadeh;Biook Behnam |
| Journal | neuropeptides |
| Year | 2013 |
| DOI |
10.7575/aiac.ijalel.v.2n.4p.39
|
| URL | |
| Keywords |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.