| Title |
Quantifying Semantic Linguistic Maturity in Children
|
|---|---|
| Published in |
Journal of Psycholinguistic Research, October 2015
|
| DOI | 10.1007/s10936-015-9398-7 |
| Pubmed ID | |
| Authors |
Kristina Hansson, Rasmus Bååth, Simone Löhndorf, Birgitta Sahlén, Sverker Sikström |
| Abstract |
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 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. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Iran, Islamic Republic of | 1 | 3% |
| Unknown | 39 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 7 | 18% |
| Unspecified | 6 | 15% |
| Student > Ph. D. Student | 6 | 15% |
| Researcher | 5 | 13% |
| Student > Bachelor | 4 | 10% |
| Other | 4 | 10% |
| Unknown | 8 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 7 | 18% |
| Unspecified | 6 | 15% |
| Linguistics | 5 | 13% |
| Medicine and Dentistry | 3 | 8% |
| Nursing and Health Professions | 2 | 5% |
| Other | 8 | 20% |
| Unknown | 9 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 08 September 2016.
All research outputs
#18,469,995
of 22,886,568 outputs
Outputs from Journal of Psycholinguistic Research
#265
of 355 outputs
Outputs of similar age
#200,059
of 278,061 outputs
Outputs of similar age from Journal of Psycholinguistic Research
#3
of 4 outputs
Altmetric has tracked 22,886,568 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 355 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one is in the 10th percentile – i.e., 10% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 278,061 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one.