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interpreting-mlap-results [2020/06/26 04:03] serbizadmin [Readability] |
interpreting-mlap-results [2020/08/13 01:21] serbizadmin [Word Count] |
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====== Interpreting mLaP Results ====== | ====== Interpreting mLaP Results ====== | ||
- | **Is this piece plagiarized? | + | **Is this piece plagiarized? |
- | {{ :mlap_color_coding.jpg?400 |}} \\ \\ | + | [{{ :: |
- | Then mLaP highlights the parts showing the matches. The orange | + | **[[mlap-service|mLaP]]** highlights the parts showing the matches. The red highlight, for instance, is for 75 to 100% similarities. |
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- | =====Readability | + | =====Contextual Info ===== |
- | [{{ ::readability-score.png? | + | In certain cases, determining whether the submitted document is plagiarized may require certain contextual information, |
- | To add contextual data that may be used to further interpret the submitted document for mLaP scanning, **readability scores** are appended. These scores are based on the average length of sentences and words in the document. With a score of 60 on **Flesch reading-ease**, | + | |
+ | ====Readability ==== | ||
+ | To add contextual data that may be used to further interpret the submitted document for [[mlap-service|mLaP]] scanning, **readability scores** are appended. These scores are based on the average length of sentences and words in the document. With a score of 60 on **Flesch reading-ease**, | ||
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- | So, the relevant question in relation to plagiarism might be, is this particular document submission consistent with the readability of the submitter' | + | So, the relevant question in relation to plagiarism might be, is this particular document submission consistent with the readability of the submitter' |
+ | Did the document submitters simply use paraphrasing tools (like [[https:// | ||
- | ==== Which Readability Test? ==== | + | === Which Readability Test? === |
- | Flesch tests are multi-disciplinary and a good starting point. Technical writers may refer to Automated Readability Index. For business, you may also check out Gunning Fog Index. Medical and healthcare fields gravitate towards Coleman Liau Index and SMOG Index. | + | Flesch tests are multi-disciplinary and a good starting point. That's first on display on the Readability Dashboard. Technical writers may refer to Automated Readability Index. For business, you may also check out Gunning Fog Index. Medical and healthcare fields gravitate towards Coleman Liau Index and SMOG Index. |
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- | To choose from are over 200 readability formulas, the details of which are beyond the scope of this page. Pick the ones you're comfortable with or you know best. [[https:// | + | You may choose from over 200 readability formulas, the details of which are beyond the scope of this page. **mLaP** uses only a few. Pick the ones you're comfortable with or you know best. [[https:// |
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+ | ====Word Cloud ==== | ||
+ | A word cloud highlight words or concepts prominent in the document. Their font sizes are relative to their prominence vis-a-vis other words or concepts in the text. \\ \\ | ||
+ | {{ :: | ||
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+ | ====Word Count==== | ||
+ | Based on the total number of words, one may estimate how long it takes for an average person to read the piece, at the rate of about 130 words per minute. Similarly, the number of minutes or hours it takes for an average writer to write such piece may also be estimated. Has the submission been too fast, too good to be true? It probably is. \\ \\ | ||
+ | {{ :: | ||
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- | =====References ===== | + | =====Selected |
Roig, M. (2001). Plagiarism and Paraphrasing Criteria of College and University Professors. Ethics & Behavior, 11(3), 307–323. https:// | Roig, M. (2001). Plagiarism and Paraphrasing Criteria of College and University Professors. Ethics & Behavior, 11(3), 307–323. https:// | ||