The Percentage of Words Known in a Text and Reading Comprehension.

By N. Schmitt, Xiangying Jiang, W. Grabe. 2011

703 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Developmental and Educational Psychology

View Paper: https://www.semanticscholar.org/paper/06e491d814ebe186945a6264378678ba2ad69965

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. N. Schmitt
2. Stuart Webb
3. A. Chang
4. Stuart Mclean
5. Ron Martinez
6. E. Peters
7. J. Stewart
8. A. Batty

In Developmental and Educational Psychology

1. N. Schmitt
2. Stuart Webb
3. A. Chang
4. E. Peters
5. Ron Martinez
6. Stuart Mclean
7. J. Stewart
8. A. Batty

Citations in the corpus

• A Phrasal Expressions List (2012, background): “…the 2,000-word family level, and none in the AWL, that coverage drops at Periodicals D ept., H allw ard L ibrary, U niversity of N ottingham on July 20, 2012 http://applij.oxfordjournals.org/ D ow nloaded from from 88.06 per cent to a much more challenging 68.65 per cent (cf. Schmitt et al. 2011).”
• HOW DOES PRIOR WORD KNOWLEDGE AFFECT VOCABULARY LEARNING PROGRESS IN AN EXTENSIVE READING PROGRAM? (2015, background): “Research on lexical coverage has shown that as the proportion of known words increases above 90%, reading comprehension is also likely to increase (Hu & Nation, 2000 ; Laufer, 1989 ; Schmitt et al., 2011 ).”