Neighborhood Density and Word Frequency Predict Vocabulary Size in Toddlers

Stokes, Stephanie F.

doi:10.1044/1092-4388(2009/08-0254)

Cited by 68 publications

(150 citation statements)

References 33 publications

Supporting

Mentioning

130

Contrasting

Unclassified

Order By: Relevance

“…Many studies have found positive correlations (around r = .6 -.8) between such holistic assessment by human raters and text length (e.g., Grandin & Lindskog, 2007;Jafarpur, 1991;Löfqvist, 1990). It is also a common finding that older 8 children produce longer texts than younger children (e.g., Asker-Árnason et al, 2008;2010) and that children with typical language development produce longer texts than children in clinical groups (e.g., Reuterskiöld Wagner et al, 1999). McFadden & Gillam (1996) studied teachers' assessments of overall quality of written as well as spoken narratives from different groups of children.…”

Section: Vocabulary Development and Narrativesmentioning

confidence: 99%

See 1 more Smart Citation

Quantifying Semantic Linguistic Maturity in Children

Hansson

Bååth

Löhndorf

et al. 2015

J Psycholinguist Res

View full text Add to dashboard Cite

We propose a method to quantify semantic linguistic maturity (SELMA) based on a high dimensional semantic representation of words created from the co-occurrence of words in a large text corpus. The SELMA method was applied to oral narratives from 108 children aged 4;0-12;10. By comparing the SELMA measure with maturity ratings made by human raters we found that SELMA predicted the rating of semantic maturity made by human raters over and above the prediction made using a child's age and number of words produced. We conclude that the semantic content of narratives changes in a predictable pattern with children's age and argue that SELMA is a measure quantifying semantic linguistic maturity. The study opens up the possibility of using quantitative measures for studying the development of semantic representation in children's narratives, and emphasizes the importance of word co-occurrences for understanding the development of meaning.

show abstract

Section: Vocabulary Development and Narrativesmentioning

confidence: 99%

“…For example, one would expect to find puppy close to dog but far from puppet (which, on the other hand, is a phonological neighbour; Stokes, 2010). Documents can be compared in the semantic space following an aggregation of all semantic representations related to the words in the document.…”

Section: Semantic Spacesmentioning

confidence: 99%

Quantifying Semantic Linguistic Maturity in Children

Hansson

Bååth

Löhndorf

et al. 2015

J Psycholinguist Res

View full text Add to dashboard Cite

show abstract

“…In reality, however, the two must be intertwined: a processing episode with a word will be influenced by an individual's previous experiences with that word; in turn, the episode will provide a new encounter to add to the accumulated knowledge the individual has of that word, and so influence future processing. Differences in vocabulary size early in development matter as this will influence the statistical properties that are extracted from the input (see [73] for evidence) and in turn, this will serve to influence subsequent learning and processing.…”

Section: Linking Lexical Learning and Lexical Processingmentioning

confidence: 99%

Lexical learning and lexical processing in children with developmental language impairments

Nation

2014

Phil. Trans. R. Soc. B

View full text Add to dashboard Cite

Lexical skills are a crucial component of language comprehension and production. This paper reviews evidence for lexical-level deficits in children and young people with developmental language impairment (LI). Across a range of tasks, LI is associated with reduced vocabulary knowledge in terms of both breadth and depth and difficulty with learning and retaining new words; evidence is emerging from on-line tasks to suggest that low levels of language skill are associated with differences in lexical competition in spoken word recognition. The role of lexical deficits in understanding the nature of LI is also discussed.

show abstract

“…In speech production, many studies have shown evidence for hyperarticulation in high ND words (Munson & Solomon, 2004;Scarborough, 2004;Wright, 2004), which has been interpreted in support of a listener-oriented view of phonetic reduction. Other studies have shown how ND may be useful in characterizing word learning: children's lexicons tend to contain more high ND words at first, and over time expand to low ND words (Coady & Aslin, 2003;Stokes, 2010). In short, the concept of ND is applicable to a wide range of questions in language processing and acquisition.…”

Section: Introductionmentioning

confidence: 99%

K-SPAN: A lexical database of Korean surface phonetic forms and phonological neighborhood density statistics

2017

View full text Add to dashboard Cite

This article presents K-SPAN (Korean Surface Phonetics and Neighborhoods), a database of surface phonetic forms and several measures of phonological neighborhood density for 63,836 Korean words. Currently publicly available Korean corpora are limited by the fact that they only provide orthographic representations in Hangeul, which is problematic since phonetic forms in Korean cannot be reliably predicted from orthographic forms. We describe the method used to derive the surface phonetic forms from a publicly available orthographic corpus of Korean, and report on several statistics calculated using this database; namely, segment unigram frequencies, which are compared to previously reported results, along with segment-based and syllable-based neighborhood density statistics for three types of representation: an "orthographic" form, which is a quasi-phonological representation, a "conservative" form, which maintains all known contrasts, and a "modern" form, which represents the pronunciation of contemporary Seoul Korean. These representations are rendered in an ASCIIencoded scheme, which allows users to query the corpus without having to read Korean orthography, and permits the calculation of a wide range of phonological measures.

show abstract

Neighborhood Density and Word Frequency Predict Vocabulary Size in Toddlers

Abstract: Children at the lowest points of a continuum of vocabulary size may be extracting statistical properties of the input language in a manner quite different from their more able age peers.

Cited by 68 publications

References 33 publications

Quantifying Semantic Linguistic Maturity in Children

Quantifying Semantic Linguistic Maturity in Children

Lexical learning and lexical processing in children with developmental language impairments

K-SPAN: A lexical database of Korean surface phonetic forms and phonological neighborhood density statistics

Contact Info

Product

Resources

About