Rhyme Generation by Deaf Adults

Hanson, Vicki L.; McGarr, Nancy S.

doi:10.1044/jshr.3201.02

Cited by 85 publications

(97 citation statements)

References 12 publications

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“…Finally, the rhyme constituent of the standard must be compared to the rhyme constituent of the target. The rhyme portion was spelt differently in nearly all the pairs, in order to avoid deaf subjects using a common strategy, which consisted that they based their decision on orthographic similarity (see Campbell & Wright, 1990;Charlier & Leybaert, 2000;Hanson & McGarr, 1989). In addition, the orthographic similarity between standard and target was held constant across rhyming and non-rhyming pairs.…”

Section: Introductionmentioning

confidence: 99%

Lateralization effects during semantic and rhyme judgement tasks in deaf and hearing subjects

D'Hondt¹,

Leybaert²

2003

Brain and Language

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A visual hemifield experiment investigated hemispheric specialization among hearing children and adults and prelingually, profoundly deaf youngsters who were exposed intensively to Cued Speech (CS). Of interest was whether deaf CS users, who undergo a development of phonology and grammar of the spoken language similar to that of hearing youngsters, would display similar laterality patterns in the processing of written language. Semantic, rhyme, and visual judgement tasks were used. In the visual task no VF advantage was observed. A RVF (left hemisphere) advantage was obtained for both the deaf and the hearing subjects for the semantic task, supporting NevilleÕs claim that the acquisition of competence in the grammar of language is critical in establishing the specialization of the left hemisphere for language. For the rhyme task, however, a RVF advantage was obtained for the hearing subjects, but not for the deaf ones, suggesting that different neural resources are recruited by deaf and hearing subjects. Hearing the sounds of language may be necessary to develop left lateralised processing of rhymes.

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Section: Introductionmentioning

confidence: 99%

Lateralization effects during semantic and rhyme judgement tasks in deaf and hearing subjects

D'Hondt¹,

Leybaert²

2003

Brain and Language

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“…coding in short-term memory (Campbell & Wright, 1990), limited sensitivity to phonological effects in serial recall tasks (Campbell & Wright, 1990;Conrad, 1979), de®cits in rhyming (Campbell & Wright, 1988;Hanson & Fowler, 1987;Hanson & McGarr, 1989;Sterne, 1996), and little use of phoneme±grapheme correspondences in reading and spelling (Burden & Campbell, 1994;Harris & Beech, 1995;Leybaert & Alegria, 1995). This highlights the importance of the quality of the mental representations of speech.…”

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confidence: 99%

The Rhyming Skills of Deaf Children Educated with Phonetically Augmented Speechreading

Charlier

Leybaert

2000

The Quarterly Journal of Experimental Psychology Section A

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Two experiments investigated whether profoundly deaf children's rhyming ability was determined by the linguistic input that they were exposed to in their early childhood. Children educated with Cued Speech (CS) were compared to other deaf children, educated orally or with sign language. In CS, speechreading is combined with manual cues that disambiguate it. The central hypothesis is that CS allows deaf children to develop accurate phonological representations, which, in turn, assist in the emergence of accurate rhyming abilities. Experiment 1 showed that the deaf children educated early with CS performed better at rhyme judgement than did other deaf children. The performance of early CS-users was not influenced by word spelling. Experiment 2 confirmed this result in a rhyme generation task. Taken together, results support the hypothesis that rhyming ability depends on early exposure to a linguistic input specifying all phonological contrasts, independently of the modality (visual or auditory) in which this input is perceived.

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“…For adjustment of calibration coefficients, Hanson [2] recommended for sandy beach that the values are typically in the ranges of 0.1 <K 1 < 1.0 and 0.5 K 1 <K 2 < 1.5 K 1 . This research tried some couples value of K 1 and K 2 for this calibration as shown in Table 2.…”

Section: Model Calibrationmentioning

confidence: 99%

“…Two numerical model which are well known for studies of shoreline change phenomena are GENESIS (GENEralized Model for Simulating Shoreline change) and LTC (Long-Term Configuration) [1]. The GENESIS model was developed to simulate long-term shoreline change on an open coast, produced by spatial and temporal differences in longshore sand transport [2], and it has been used since the late 1980's. The LTC model was firstly presented by Caelho et al [3].The GENESIS model has been successfully applied in many case studies of shoreline change phenomena especially for sandy beach [4][5][6].…”

Section: Introductionmentioning

confidence: 99%

“…where Q is the alongshore sand transport rate calculated as a function of the breaking wave height, the approach angle of breaking waves and other wave characteristics [8,2,5]; D B is the berm height and D C is the depth of closure. The x-axis is directed alongshore from the left to the right (for the observer looking to the offshore) and the y-axis is directed offshore.…”

Section: Introductionmentioning

confidence: 99%

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Calibration of Numerical Model for Shoreline Change Prediction Using Satellite Imagery Data

Sutikno¹,

Murakami²,

Handoyo³

et al. 2015

MST

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This paper presents a method for calibration of numerical model for shoreline change prediction using satellite imagery data in muddy beach. Tanjung Motong beach, a muddy beach that is suffered high abrasion in Rangsang Island, Riau province, Indonesia was picked as study area. The primary numerical modeling tool used in this research was GENESIS (GENEralized Model for Simulating Shoreline change), which has been successfully applied in many case studies of shoreline change phenomena on a sandy beach.The model was calibrated using two extracted coastlines satellite imagery data, such as Landsat-5 TM and Landsat-8 OLI/TIRS. The extracted coastline data were analyzed by using DSAS (Digital Shoreline Analysis System) tool to get the rate of shoreline change from 1990 to 2014. The main purpose of the calibration process was to find out the appropriate value for K 1 and K 2 coefficients so that the predicted shoreline change had an acceptable correlation with the output of the satellite data processing. The result of this research showed that the shoreline change prediction had a good correlation with the historical evidence data in Tanjung Motong coast. It means that the GENESIS tool is not only applicable for shoreline prediction in sandy beach but also in muddy beach. AbstrakKalibrasi Model Numerik untuk Prediksi Perubahan Garis Pantai menggunakan Data Citra Satelit. Artikel ini menyajikan metode kalibrasi model numerik untuk memprediksi perubahan garis pantai menggunakan data citra satelit pada pantai berlumpur. Lokasi penelitian ini dipilih Pantai Tanjung Motong, yang merupakan pantai berlumpur yang telah mengalami tingkat abrasi yang tinggi, di Pulau Rangsang, Provinsi Riau, Indonesia. Perangkat lunak utama yang digunakan dalam penelitian ini adalah GENESIS (GENEralized Model for Simulating Shoreline Change) yang telah banyak digunakan di banyak studi kasus perubahan garis pantai berpasir. Model ini kemudian dikalibrasi dengan dua data garis pantai yang telah diekstraksi dari citra satelit, seperti Landsat-5 TM dan Landsat-8 OLI/TIRS. Data tersebut kemudian dianalisis menggunakan DSAS (Digital Shoreline Analysis System) untuk mendapatkan tingkat perubahan garis pantai dari tahun 1990 sampai tahun 2014. Tujuan utama dari proses kalibrasi ini adalah untuk mendapatkan nilai yang optimum untuk koefisien K 1 dan K 2 sehingga perubahan garis pantai yang telah diprediksi memiliki korelasi yang sesuai dengan hasil proses data satelit. Hasil penelitian ini menunjukkan bahwa prediksi perubahan garis pantai memiliki korelasi yang baik dengan data historis di pantai Tanjung Motong. Hal ini menunjukkan bahwa program GENESIS tidak hanya dapat digunakan untuk memprediksi garis pantai berpasir tetapi juga pantai berlumpur.

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Rhyme Generation by Deaf Adults

Cited by 85 publications

References 12 publications

Lateralization effects during semantic and rhyme judgement tasks in deaf and hearing subjects

Lateralization effects during semantic and rhyme judgement tasks in deaf and hearing subjects

The Rhyming Skills of Deaf Children Educated with Phonetically Augmented Speechreading

Calibration of Numerical Model for Shoreline Change Prediction Using Satellite Imagery Data

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