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Effects of Graded Texts on EFL College Students' Incidental ...

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lead to better vocabulary acquisiti<strong>on</strong>. 20 related texts from four running stories were<br />

selected from four newspapers for analyses. In accordance to the vocabulary<br />

knowledge <str<strong>on</strong>g>of</str<strong>on</strong>g> most high school graduates, which is a 2000 word level, words outside<br />

this 2000 word level were c<strong>on</strong>sidered as new words that learners have to learn in the<br />

process <str<strong>on</strong>g>of</str<strong>on</strong>g> reading newspapers. New words in each text were calculated in terms <str<strong>on</strong>g>of</str<strong>on</strong>g><br />

target word repetiti<strong>on</strong> for both running stories and unrelated stories. In the examined<br />

4 running stories, 17 <str<strong>on</strong>g>of</str<strong>on</strong>g> the 62 new word families (27%) occurred more than <strong>on</strong>ce<br />

while in unrelated texts, <strong>on</strong>ly 14 <str<strong>on</strong>g>of</str<strong>on</strong>g> the 73 new word families (19%) occurred twice or<br />

more. Compared with unrelated stories, texts in running stories were able to reduce<br />

the density <str<strong>on</strong>g>of</str<strong>on</strong>g> target word families and also provide more repetiti<strong>on</strong>s <str<strong>on</strong>g>of</str<strong>on</strong>g> words outside<br />

<str<strong>on</strong>g>of</str<strong>on</strong>g> 2000 words level. If some degree <str<strong>on</strong>g>of</str<strong>on</strong>g> word knowledge can be acquired through<br />

<strong>on</strong>ly <strong>on</strong>e encounter <str<strong>on</strong>g>of</str<strong>on</strong>g> words, then it was estimated that when learners have proceeded<br />

into the sec<strong>on</strong>d text in the running stories they would be able to reach about 94% to<br />

95% lexical coverage, a percentage high enough for reading comprehensi<strong>on</strong>.<br />

With the help <str<strong>on</strong>g>of</str<strong>on</strong>g> computer tools and analyses, large numbers <str<strong>on</strong>g>of</str<strong>on</strong>g> comprehensible<br />

texts could be sequenced for readers’ needs. Using a self-developed computer<br />

program, TextLadder, Ghadirian (2003) was able to c<strong>on</strong>duct precise statistical<br />

analyses as the basis for sequencing and arranging large amount <str<strong>on</strong>g>of</str<strong>on</strong>g> reading texts.<br />

TextLadder was designed to attend to the problem <str<strong>on</strong>g>of</str<strong>on</strong>g> bringing foreign language<br />

learners with limited vocabulary knowledge to the point where learners are able to<br />

comprehend authentic texts in a specific genre. Word lists were included in the<br />

program as a way to enhance vocabulary acquisiti<strong>on</strong> envir<strong>on</strong>ments. In order to<br />

achieve comprehensibility, Ghardirian first determined a set <str<strong>on</strong>g>of</str<strong>on</strong>g> word lists which<br />

accounted for 95% <str<strong>on</strong>g>of</str<strong>on</strong>g> the running words in target texts, a percentage suggested by<br />

Laufer (1989) for adequate reading comprehensi<strong>on</strong>. C<strong>on</strong>sidering the vocabulary<br />

level and the needs <str<strong>on</strong>g>of</str<strong>on</strong>g> the target learners which are learners <str<strong>on</strong>g>of</str<strong>on</strong>g> academic purposes, the<br />

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