adult word count
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Author(s):  
Aleah S. Brock ◽  
Sandie M. Bass-Ringdahl

Purpose This research note reports preliminary data from an investigation of facilitative language techniques (FLTs) used in the natural environment by caregivers of children who are deaf or hard of hearing (DHH). The investigation seeks to establish a new method to collect and analyze data on caregiver FLT use in the home. Method This pilot investigation included two children under the age of 36 months with moderate-to-profound sensorineural hearing loss. Both children were consistent users of hearing devices and were pursing oral communication. Data were collected via the Language ENvironment Analysis (LENA) system in the participants' homes. Thirty-six 5-min segments containing the highest adult word count were extracted from each participant's sample. Researchers coded segments for the presence or absence of 10 FLTs within 30-s intervals. Results The collection, coding, and analysis of caregiver FLTs using LENA was a feasible method to investigate caregiver linguistic input in the natural environment. Despite differences in age, sex, and hearing level, the distribution of caregiver FLTs was similar for both participants. Caregivers used high levels of narration, closed-ended questions, and directives throughout the day. Conclusions Results of this investigation provide information about the types of FLTs that are used in the home by caregivers of young children who are DHH. Furthermore, results indicate the feasibility of this method to investigate in-home use of caregiver FLTs.


2021 ◽  
Vol 64 (3) ◽  
pp. 792-808
Author(s):  
Margarethe McDonald ◽  
Taeahn Kwon ◽  
Hyunji Kim ◽  
Youngki Lee ◽  
Eon-Suk Ko

Purpose The algorithm of the Language ENvironment Analysis (LENA) system for calculating language environment measures was trained on American English; thus, its validity with other languages cannot be assumed. This article evaluates the accuracy of the LENA system applied to Korean. Method We sampled sixty 5-min recording clips involving 38 key children aged 7–18 months from a larger data set. We establish the identification error rate, precision, and recall of LENA classification compared to human coders. We then examine the correlation between standard LENA measures of adult word count, child vocalization count, and conversational turn count and human counts of the same measures. Results Our identification error rate (64% or 67%), including false alarm, confusion, and misses, was similar to the rate found in Cristia, Lavechin, et al. (2020) . The correlation between LENA and human counts for adult word count ( r = .78 or .79) was similar to that found in the other studies, but the same measure for child vocalization count ( r = .34–.47) was lower than the value in Cristia, Lavechin, et al., though it fell within ranges found in other non-European languages. The correlation between LENA and human conversational turn count was not high ( r = .36–.47), similar to the findings in other studies. Conclusions LENA technology is similarly reliable for Korean language environments as it is for other non-English language environments. Factors affecting the accuracy of diarization include speakers' pitch, duration of utterances, age, and the presence of noise and electronic sounds.


2020 ◽  
Vol 25 (4) ◽  
pp. 457-468
Author(s):  
Sonia Arora ◽  
Elaine R Smolen ◽  
Ye Wang ◽  
Maria Hartman ◽  
Amanda Howerton-Fox ◽  
...  

Abstract This study examined the relationships between adult language input and child language production in regard to the quantity and diversity of spoken language, as well as children’s knowledge of basic concepts and vocabulary. The quantity and diversity of language provided by teachers and parents were related to children’s language output and knowledge. Language ENvironment Analysis technology audio-recorded the language environments of 26 preschool children with hearing loss over 2 days. The language samples were analyzed for quantity (adult word count, child vocalization count, and conversational turn count) and diversity (lexical diversity, syntactical complexity, and clausal complexity) of language. Results indicated a relationship between adult language input and child language production, but only in regard to the quantity of language. Significant differences between the teachers and parents were reported in regard to the diversity of adult language input. These results suggest that the language input provided by adults across environments (school versus home) is considerably different and warrants further investigation.


2020 ◽  
Author(s):  
Meg Cychosz ◽  
Benjamin Munson ◽  
jan edwards

Much research in child speech development suggests that young children coarticulate more than adults. There are multiple, not mutually-exclusive, explanations for this pattern. For example, children may coarticulate more because they are limited by immature motor control. Or they may coarticulate more if they initially represent phonological segments in larger, more holistic units such as syllables or feet. We tested the importance of several different explanations for coarticulation in child speech by evaluating how four-year-olds' language experience, speech practice, and speech planning predicted their coarticulation between adjacent segments in real words and paired nonwords. Children with larger vocabularies coarticulated less, especially in real words, though there were no reliable coarticulatory differences between real words and nonwords after controlling for word duration. Children who vocalized more throughout a daylong audio recording also coarticulated less. Quantity of child vocalizations was more predictive of the degree of children's coarticulation than a measure of receptive language experience, adult word count. Overall, these results suggest strong roles for children's phonological representations and speech practice, as well as their immature fine motor control, for coarticulatory development.


Author(s):  
Iris-Corinna Schwarz ◽  
Noor Botros ◽  
Alekzandra Lord ◽  
Amelie Marcusson ◽  
Henrik Tidelius ◽  
...  
Keyword(s):  

2015 ◽  
Vol 58 (2) ◽  
pp. 445-452 ◽  
Author(s):  
Jill Gilkerson ◽  
Yiwen Zhang ◽  
Dongxin Xu ◽  
Jeffrey A. Richards ◽  
Xiaojuan Xu ◽  
...  

Purpose The purpose of this study was to evaluate performance of the Language Environment Analysis (LENA) automated language-analysis system for the Chinese Shanghai dialect and Mandarin (SDM) languages. Method Volunteer parents of 22 children aged 3–23 months were recruited in Shanghai. Families provided daylong in-home audio recordings using LENA. A native speaker listened to 15 min of randomly selected audio samples per family to label speaker regions and provide Chinese character and SDM word counts for adult speakers. LENA segment labeling and counts were compared with rater-based values. Results LENA demonstrated good sensitivity in identifying adult and child; this sensitivity was comparable to that of American English validation samples. Precision was strong for adults but less so for children. LENA adult word count correlated strongly with both Chinese characters and SDM word counts. LENA conversational turn counts correlated similarly with rater-based counts after the exclusion of three unusual samples. Performance related to some degree to child age. Conclusions LENA adult word count and conversational turn provided reasonably accurate estimates for SDM over the age range tested. Theoretical and practical considerations regarding LENA performance in non-English languages are discussed. Despite the pilot nature and other limitations of the study, results are promising for broader cross-linguistic applications.


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