Reference
The Validation of a Synthetic Syllable Count Appropriate for Computer-Determined Readability Estimates.
| Τίτλος: | The Validation of a Synthetic Syllable Count Appropriate for Computer-Determined Readability Estimates. |
|---|---|
| Συγγραφείς: | Hopkins, Carol J., Moe, Alden J. |
| Peer Reviewed: | N |
| Page Count: | 26 |
| Ημερομηνία έκδοσης: | 1975 |
| Τύπος εγγράφου: | Reference Materials - Bibliographies |
| Descriptors: | Computer Programs, Computers, Elementary Secondary Education, Higher Education, Readability, Reading Research, Syllables |
| Περίληψη: | The purpose of this paper was to investigate letters-per-syllable constants as predictors of true syllable counts for basal readers and trade books at five instructional levels. One hundred fifty language samples of approximately one hundred words each were selected and keypunched for computer analysis to determine average word length and total number of running words. Manual syllable counts for each sample were also performed. Their values were then used to calculate letters-per-syllable predictors for each level. The use of letters-per-syllable constants predicted between 73 percent and 90 percent of the variance of the actual syllable count. It was concluded that this procedure for calculating the number of syllables makes it possible to program a computer to compute readability of language samples using readability measures which rely on syllable counts. (TS) |
| Σημειώσεις: | Paper presented at the Annual Meeting of the International Reading Association (20th, New York City, May 13-16, 1975) |
| Journal Code: | RIEFEB1976 |
| Entry Date: | 1976 |
| Αριθμός Καταχώρησης: | ED112375 |
| Βάση Δεδομένων: | ERIC |
| FullText | Text: Availability: 0 CustomLinks: – Url: https://eric.ed.gov/contentdelivery/servlet/ERICServlet?accno=ED112375 Name: ERIC Full Text Category: fullText Text: Full Text from ERIC |
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| Header | DbId: eric DbLabel: ERIC An: ED112375 AccessLevel: 3 PubType: Reference PubTypeId: reference PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: The Validation of a Synthetic Syllable Count Appropriate for Computer-Determined Readability Estimates. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Hopkins%2C+Carol+J%2E%22">Hopkins, Carol J.</searchLink><br /><searchLink fieldCode="AR" term="%22Moe%2C+Alden+J%2E%22">Moe, Alden J.</searchLink> – Name: PeerReviewed Label: Peer Reviewed Group: SrcInfo Data: N – Name: Pages Label: Page Count Group: Src Data: 26 – Name: DatePubCY Label: Publication Date Group: Date Data: 1975 – Name: TypeDocument Label: Document Type Group: TypDoc Data: Reference Materials - Bibliographies – Name: Subject Label: Descriptors Group: Su Data: <searchLink fieldCode="DE" term="%22Computer+Programs%22">Computer Programs</searchLink><br /><searchLink fieldCode="DE" term="%22Computers%22">Computers</searchLink><br /><searchLink fieldCode="DE" term="%22Elementary+Secondary+Education%22">Elementary Secondary Education</searchLink><br /><searchLink fieldCode="DE" term="%22Higher+Education%22">Higher Education</searchLink><br /><searchLink fieldCode="DE" term="%22Readability%22">Readability</searchLink><br /><searchLink fieldCode="DE" term="%22Reading+Research%22">Reading Research</searchLink><br /><searchLink fieldCode="DE" term="%22Syllables%22">Syllables</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: The purpose of this paper was to investigate letters-per-syllable constants as predictors of true syllable counts for basal readers and trade books at five instructional levels. One hundred fifty language samples of approximately one hundred words each were selected and keypunched for computer analysis to determine average word length and total number of running words. Manual syllable counts for each sample were also performed. Their values were then used to calculate letters-per-syllable predictors for each level. The use of letters-per-syllable constants predicted between 73 percent and 90 percent of the variance of the actual syllable count. It was concluded that this procedure for calculating the number of syllables makes it possible to program a computer to compute readability of language samples using readability measures which rely on syllable counts. (TS) – Name: Note Label: Notes Group: Note Data: Paper presented at the Annual Meeting of the International Reading Association (20th, New York City, May 13-16, 1975) – Name: CodeSource Label: Journal Code Group: SrcInfo Data: <searchLink fieldCode="JC" term="%22RIEFEB1976%22">RIEFEB1976</searchLink> – Name: DateEntry Label: Entry Date Group: Date Data: 1976 – Name: AN Label: Accession Number Group: ID Data: ED112375 |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eric&AN=ED112375 |
| RecordInfo | BibRecord: BibEntity: PhysicalDescription: Pagination: PageCount: 26 Subjects: – SubjectFull: Computer Programs Type: general – SubjectFull: Computers Type: general – SubjectFull: Elementary Secondary Education Type: general – SubjectFull: Higher Education Type: general – SubjectFull: Readability Type: general – SubjectFull: Reading Research Type: general – SubjectFull: Syllables Type: general Titles: – TitleFull: The Validation of a Synthetic Syllable Count Appropriate for Computer-Determined Readability Estimates. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Hopkins, Carol J. – PersonEntity: Name: NameFull: Moe, Alden J. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 1975 |
| ResultId | 1 |