Models of Vocabulary Acquisition: Direct Tests and Text-Derived Simulations of Vocabulary Growth

Determining word meanings that ought to be taught or introduced is important for educators. A sequence for vocabulary growth can be inferred from many sources, including testing children’s knowledge of word meanings at various ages, predicting from print frequency, or adult-recalled Age of Acquisition. A new approach, Word Maturity, is based on applying Latent Semantic Analysis to patterns of word occurrences in texts used with children. This article reports substantial correlations in the .67 to .74 range between Word Maturity estimates and the ages of acquiring word meanings from two studies of children’s knowledge of word meanings, controlling for homographs. The agreement among these markedly different methods for determining when word meanings are understood opens up new research avenues. In addition, we have found that print frequency is associated with Word Maturity and tested knowledge of word meanings and that understanding concrete meanings required less print frequency exposure than verbally defined meanings.

[1]  Patrick F. Reidy An Introduction to Latent Semantic Analysis , 2009 .

[2]  Kirill Kireyev,et al.  Semantic-based Estimation of Term Informativeness , 2009, NAACL.

[3]  Dean R. Smith The Lexile Scale in Theory and Practice. Final Report. , 1989 .

[4]  Katherine Nelson,et al.  Young Minds in Social Worlds: Experience, Meaning, and Memory , 2007 .

[5]  Donald Favareau The Symbolic Species: The Co-evolution of Language and the Brain , 1998 .

[6]  James H. Martin,et al.  Speech and language processing: an introduction to natural language processing, computational linguistics, and speech recognition, 2nd Edition , 2000, Prentice Hall series in artificial intelligence.

[7]  T. Deacon The Symbolic Species: The Co-evolution of Language and the Brain , 1998 .

[8]  J. M. Anglin Vocabulary Development: A Morphological Analysis , 1994 .

[9]  A. Biemiller,et al.  Estimating root word vocabulary growth in normative and advantaged populations: Evidence for a common sequence of vocabulary acquisition. , 2001 .

[10]  Thomas K. Landauer,et al.  A New Yardstick and Tool for Personalized Vocabulary Building , 2009, BEA@NAACL.

[11]  M. Coleman,et al.  A computer readability formula designed for machine scoring. , 1975 .

[12]  Thomas K. Landauer,et al.  Word Maturity: A New Metric for Word Knowledge , 2011 .

[13]  Danielle S. McNamara,et al.  Handbook of latent semantic analysis , 2007 .

[14]  E. Thorndike The Teacher's Word Book , 2007 .

[15]  J. Kirby,et al.  Effects of morphological instruction on vocabulary acquisition , 2010 .

[16]  M. Brysbaert,et al.  Age-of-acquisition ratings for 30,000 English words , 2012, Behavior research methods.

[17]  A Biemiller,et al.  Words worth teaching. , 2009 .

[18]  Clarence Lewis Barnhart,et al.  The World Book Dictionary , 1963 .

[19]  Richard A. Harshman,et al.  Indexing by Latent Semantic Analysis , 1990, J. Am. Soc. Inf. Sci..

[20]  A. Biemiller,et al.  Size and Sequence in Vocabulary Development: Implications for Choosing Words for Primary Grade Vocabulary Instruction. , 2005 .

[21]  T. Landauer,et al.  A Solution to Plato's Problem: The Latent Semantic Analysis Theory of Acquisition, Induction, and Representation of Knowledge. , 1997 .

[22]  Tom Landauer,et al.  Improving Text Complexity Measurement through the Reading Maturity Metric , 2012 .

[23]  Petra L. Graham Applied nonparametric statistical methods (4th edn). Peter Sprent and Nigel C. Smeeton, Chapman & Hall/CRC, Boca Raton, 2007. No. of pages: 544. Price: $83.95. ISBN 13 978‐1‐58488‐701‐0 , 2009 .

[24]  M. Brysbaert,et al.  Age-of-acquisition ratings for 30 thousand English words , 2012 .

[25]  Walter Kintsch,et al.  Meaning in Context , 2007 .

[26]  Thomas K. Landauer,et al.  Word Maturity: Computational Modeling of Word Knowledge , 2011, ACL.

[27]  T. Landauer LSA as a Theory of Meaning , 2007 .

[28]  Eugenia Stoimenova,et al.  Applied Nonparametric Statistical Methods , 2010 .