Benjamin Aw
Add updated pkl file v3
6fa4bc9
{
"paper_id": "O15-1022",
"header": {
"generated_with": "S2ORC 1.0.0",
"date_generated": "2023-01-19T08:10:07.910818Z"
},
"title": "The word complexity measure (WCM) in early phonological development: A longitudinal study from birth to three years old",
"authors": [
{
"first": "Li-Mei",
"middle": [],
"last": "Chen",
"suffix": "",
"affiliation": {},
"email": ""
},
{
"first": "Yi-Hsiang",
"middle": [],
"last": "Liu",
"suffix": "",
"affiliation": {},
"email": ""
}
],
"year": "",
"venue": null,
"identifiers": {},
"abstract": "Word Complexity Measure (WCM, Stoel-Gammon, 2010) is a system of phonological assessment for children's speech productions, a method that focuses on the complexity rather than accuracy. With its flexible parameter program, the assessment can be adjusted to the phonological properties of different languages. In the current study, the WCM was used to assess speech production of three Mandarin-learning children from birth to three years old. In addition to the original parameters in Stoel-Gammon (2010), the Chinese version of WCM made some adjustments, including incorporating productions of fricatives, affricates, /\u0290/, /y/, and the late acquired vowels and consonants, to examine the complexity of speech productions. Major findings in the developmental changes of the first 3 years are: 1) the complexity of the intelligible words increased, with individual differences in the stability of changes; 2) the complexity of the unintelligible syllables also elaborated; 3) the percentage of simple words/syllables decreased in both intelligible and unintelligible productions.",
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"text": "Word Complexity Measure (WCM, Stoel-Gammon, 2010) is a system of phonological assessment for children's speech productions, a method that focuses on the complexity rather than accuracy. With its flexible parameter program, the assessment can be adjusted to the phonological properties of different languages. In the current study, the WCM was used to assess speech production of three Mandarin-learning children from birth to three years old. In addition to the original parameters in Stoel-Gammon (2010), the Chinese version of WCM made some adjustments, including incorporating productions of fricatives, affricates, /\u0290/, /y/, and the late acquired vowels and consonants, to examine the complexity of speech productions. Major findings in the developmental changes of the first 3 years are: 1) the complexity of the intelligible words increased, with individual differences in the stability of changes; 2) the complexity of the unintelligible syllables also elaborated; 3) the percentage of simple words/syllables decreased in both intelligible and unintelligible productions.",
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"section": "Abstract",
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"text": "Word Complexity Measure (WCM, Stoel-Gammon, 2010) is a measurement for developmental phonology and disorder. WCM focuses on the complexity and is based on point-giving process.",
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"section": "Introduction",
"sec_num": "1."
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"text": "Comparing with Percentage of Consonant Correct (PCC, Shriberg & Kwiatkowski, 1982) and the measurement of whole-word productions (Ingram, 2002) , WCM demonstrates advantages in describing the development of speech production because the parameter in WCM was designed to mirror the properties of child phonology. The PCC also calculates points in children's speech for measuring intelligibility. However, in PCC only the accurate speech sounds are given points in the process, and those unintelligible utterances are not scored because they are not real words. Namely, the PCC examines and quantifies the accuracy of the sounds that is articulated correctly. However, children produce not only the intelligible words but many non-word sounds, especially in the early ages. By means of the WCM, those unintelligible utterances can also be scored and quantified. Children with 1,2 Department of Foreign Languages and Literature, National Cheng Kung University",
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"start": 53,
"end": 82,
"text": "Shriberg & Kwiatkowski, 1982)",
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"start": 129,
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"text": "(Ingram, 2002)",
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"section": "Introduction",
"sec_num": "1."
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"text": "The 2015 Conference on Computational Linguistics and Speech Processing ROCLING 2015, pp. 233-247 \uf0d3 The Association for Computational Linguistics and Chinese Language Processing small vocabulary can also be inspected. For example, children with language disorders can also be examined with this measurement. This may provide a useful tool for clinical assessment. Moreover, WCM provides phonological development scales with which phonological changes can be tracked. In addition, children's forms can be compared with target forms with WCM measures. Namely, both independent and relational analysis can be done with WCM. The whole-word production (Ingram, 2002) proposed four measures to estimate speech production of children: 1) the phonological mean length of utterance (PMLU); 2) the proportion of whole-word proximity; 3) the proportion of whole-word correctness; 4) the proportion of whole-word variability. The core lies in the PMLU, which gives points to each word based on two factors: 1) the number of segments in a word; 2) the number of correct consonants. The former factor demonstrates the independent analysis, and the later the relational analysis. In this aspect, the measurement of whole-word production is close to the WCM. However, the WCM can further provide a more comprehensive picture by accounting for both qualitative and quantitative nature in phonological development (Stoel-Gammon, 2010 ).",
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"section": "Introduction",
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"text": "Furthermore, the prevailing advantage of the WCM is the flexible parameters that can be adjusted to target languages. This measurement was initially designed for English-speaking children, while in the present some of the parameters of WCM were adjusted to observe Chinese phonological system. The recorded speech productions were divided into two groups: intelligible words and unintelligible utterances. Each group was scored separately to prevent improper comparison of speech sounds in non-words and real words. Based on the phonological parameters, each sample was awarded a 'complexity score' and was calculated to get a ratio which mirrored the nature of error and accuracy. In general cases, first words emerge at the age of 12-15 months (Stoel-Gammon, 1989 ). The longitudinal speech productions analyzed in the present study started from about 2 months of age to better observe the transition from pre-speech vocalization to real-word productions.",
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"text": "(Stoel-Gammon, 1989",
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"section": "Introduction",
"sec_num": "1."
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"text": "Data of 3 typically developing boys (Child A, B, and C) were analyzed from 2 to 36 months of age. This longitudinal data is part of a larger scale of longitudinal observation of phonetic development in Mandarin-learning children.",
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"section": "Participants",
"sec_num": "2.1"
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"text": "A wireless AKG microphone system was linked to a SONY DAT recorder with a signal-to-noise ratio above 91 dB for audio recording. The mini-microphone was pinned on infants' shirt, or placed close to infants' mouth. Each recording session lasts for approximately 50 minutes. The caregiver and an experimenter were presented in each of the recording session. Spontaneous infant vocalizations were elicited in natural interaction. The sample words were collected based on natural conversation among the observers, participants, and the parents, and the picture-naming task (after approximately 18 months of age). Twelve recordings for each participant were analyzed in the study, and nearly 50 speech samples were included in each recording.",
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"section": "Procedure",
"sec_num": "2.2"
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"text": "Each speech sample was awarded a score. Higher scores denote the presence of complex or later acquired phonological parameter. The adjusted parameters in the present study are listed below:",
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"section": "Procedure",
"sec_num": "2.2"
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"text": "(1) Productions with more than two syllables receive 1 point.",
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"section": "Word patterns",
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"text": "(1) Productions with a word-final consonant receive 1 point.",
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"section": "Syllable structures",
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"text": "(2) Productions with a triphthong receive 1 point for each triphthong.",
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"section": "Syllable structures",
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"text": "(1) Productions with a velar consonant receive 1 point for each velar.",
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"section": "Sound classes",
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"text": "(2) Productions with a rhotic vowel /\u025a/ sound receive 1 point for each /\u025a/.",
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"section": "Sound classes",
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"text": "(3) Productions with a fricative or affricate receive 1 point for each fricative and affricate.",
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"section": "Sound classes",
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"text": "(4) Productions with a /\u0290/ sound receive 1 point for each /\u0290/.",
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"text": "(5) Productions with a /y/ receive 1 point for each /y/.",
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"section": "Sound classes",
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"text": "(6) Productions with any of the late acquired sounds /\u0268/, /\u026aa\u028a/, /\u026ao/, /\u026aa\u014b/, /t\u0255\u02b0 /, /t\u0255/, /ts/, or /\u0255/ receive 1 point for each of the late acquired sounds.",
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"section": "Sound classes",
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"text": "In this version of the WCM, the complexity indexes are modified. In word patterns, instead of words used in English, utterances (non-words) or phrases (intelligible meaningful units) were the units for analysis in Chinese version. In rule 1 in the current study, the distinction between a phrase and a fragment were made first. A phrase may include more than two words with a complete meaning (for example 'ping guo' apple in Chinese), while a fragment is a unfinished phrase that expresses incomplete meaning due to the sound quality or noise interruption. A fragment may contain only one word or more.",
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"text": "Either a phrase or a fragment is counted as one unit. In syllable structures, the consonant cluster in the original WCM in rule 2 is replaced by triphthongs.",
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"section": "Sound classes",
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"text": "In sound classes, the syllabic liquid sound in the original WCM is deleted, and the only rhotic vowel in Chinese /\u025a/ is counted in rule 2. The voiced fricative /\u0290/ and the rounded high front vowel /y/ were added in rules 4 and 5 respectively. In rule 6, the late acquired sounds /\u0268/, /\u026aa\u028a/, /\u026ao/, /\u026aa\u014b/, /t\u0255\u02b0 /, /t\u0255/, /ts/, and /\u0255/ were extracted from those acquired in the later stages of the longitudinal observation, according to the order of emergence and stabilization of vowels and consonants from birth to 36 months of age. This parameter acts as an indicator of phonological development. The higher scores reflect more advanced level of phonological development. Furthermore, the collected data were organized into two sets. The identifiable words and unintelligible utterances were scored separately. The speech children made were grouped together as a phrase or a fragment according to the contexts and then were given points through the parameters. Each unit was scored a total point to reflect the quantified level.",
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"text": "Furthermore, the points given by each parameter can also show the qualitative level of development. Table 1 presents the process of scoring for intelligible words. ",
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"start": 100,
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"text": "Table 1",
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"text": "5 23 4 \u6389 1 p 1 0 2 0 1 0 0 0 1 5 5 16 4 \u5230 1 21 29 5 \u6c34 1 8 12 8 \u4e86 1",
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"text": "The speech children made were classified as either a phrase or a fragment according to the contexts and then were given points according to the parameters. Table 1 presents the process of scoring for intelligible words. The corresponding target form was separately scored. The same process was also applied to the unintelligible utterances. The WCM assesses developmental phonology through the independent analysis and the relational analysis. The independent analysis records children's productions to track their phonological development, as shown in Table 2 . The WCM score presents the complexity of speech production to show the developmental level of different ages. Hence, the independent analysis can demonstrate the long-term phonological development of a child. Both quantitative and qualitative information can be revealed through the independent analysis. Sample words: the number of words the child produced in this recording session. WCM: the average WCM scores of the child's production in this recording session. WCM range: the range from the lowest WCM scores to the highest WCM scores. Words with 0 point: the percent of no-point words in all the sample words.",
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"start": 156,
"end": 163,
"text": "Table 1",
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"text": "Table 2",
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"text": "Other than the independent analysis, the WCM provides a relational analysis to observe the accuracy of speech production. The process provides the details and properties of the errors in child's production in comparison with the target forms. The scoring process is identical, and the outcomes can be better observed and compared, as Table 3 shows. The scores were given respectively to reflect the deviation of sample words from the corresponding target words. The process provided details concerning the children's productions and properties of their errors. Namely, the qualitative information can be revealed. Sample words: the number of words the child produced in this recording session. WCM (child): the average WCM scores of the child's production in this recording session. WCM (target): the average WCM scores of the corresponding target forms. WCM range: the range from the lowest WCM scores to the highest WCM scores. Words with 0 point: the percent of no-point words in all the sample words.",
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"start": 334,
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"text": "Table 3",
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"text": "The WCM scores include scores of the child's production and the target words, and the two scores are compared to get a ratio. The higher the ratio is, the more consistent child's productions are with the target words. The WCM range covers the lowest point and the highest point scored in a single recording to show the distribution. In the last column, 'words/syllables with 0 point' denotes those words/utterance receiving no point, the simple words. The percentage of simple words/syllables helps to display the macro aspect of phonological development because WCM scores may lead the focus onto the accuracy of production. An outstandingly high score does not necessarily reflect the high level of phonological development. For instance, if the child keeps repeating one word 'mother' accurately for many times, the score will be high. However, the word 'mother' (with 0 point) is a simple word so that the phonological development of the child is not actually at a high level. Sample words: the number of words the child produced in this recording session. WCM (child): the average WCM scores of the child's production in this recording session. WCM (target): the average WCM scores of the corresponding target forms. WCM range: the range from the lowest WCM scores to the highest WCM scores. Words with 0 point: the percent of no-point words in all the sample words.",
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"text": "At 21 months old, the data included repetitive 'father', which caused high WCM score to target words but low to sample words. Similarly, at 24 months old, data displayed lower WCM ratio because the data included repetitive number-counting that Child A did not articulate consistently. In 33 months old, his production contained less late acquired sounds. That is, Child A had difficulty in producing those sounds. This contributed to the higher percentage of simple words. Generally, Child A displayed a model of growing complexity in speech productions: higher complexity scores, wide complexity range, and low percentage of simple words. Table 5 shows Child B's WCM analysis. Almost similar to Child A at the early stage, Child B did not produce real words before his 12 months of age. In addition, the data at 12 and 18 months comprised few intelligible words. However, the data at 18 months of age consisted of 5 words, noticeably showed correspondence to the target words in the WCM range and the percentage of simple words. Furthermore, the WCM ratio was also high. The main difference between his production and the target words lied in the late acquired sounds. The 21-month-old data displayed a perfect WCM ratio. A closer inspection suggested that the sample words comprised many repeated words and most of them were family titles such as 'father' and 'mother'. These family titles were well articulated by Child B so that the WCM ratio reflected the high consistency between the sample words and the target words. Sample words: the number of words the child produced in this recording session. WCM (child): the average WCM scores of the child's production in this recording session. WCM (target): the average WCM scores of the corresponding target forms. WCM range: the range from the lowest WCM scores to the highest WCM scores. Words with 0 point: the percent of no-point words in all the sample words.",
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"text": "Table 5",
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"section": "The WCM applied to three children in the intelligible words",
"sec_num": "3.1"
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"text": "At 27 months of age, the target words were highly scored in final consonant and the emergence of fricative/affricate sounds, while productions of Child B were poorly scored in these two parameters. The point for final consonant in target words was 16 but sample words got no point for final consonant. The percentage of simple words also showed a gap between the sample words and the target words. In general, the phonological development of Child B seems slightly slower but stable, and the percentage of simple words decreases as age grows.",
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"section": "The WCM applied to three children in the intelligible words",
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"text": "As shown in Table 6 , Child C produced his first real words at a relatively young age, and the word was a repeated simple word. On average, Child C presented a slow phonological development in WCM ratio, a slight expanding of WCM range, and a downward and upward growing percentage of simple words. The 24-month-old data scored higher than the target words. Child C was scored remarkably high in the production of fricative/affricate sounds and high in the production of /\u0290/ sound. This was due to the repetition of the same words and the substitution of /\u0290/ for /l/. At the age of 29 months, there was a decline in the WCM ratio. A closer examination revealed that Child C seemed immature to produce final consonants, triphthongs, velar sounds, and fricative/affricate sounds because he received low points in the four parameters. Moreover, he also performed poorly in the later acquired sounds. As for the unusual growth of the simple words, the 27-month-old data revealed that Child C's production received low points in three parameters: final consonant, triphthong, and velar. This phenomenon caused no points for some of the sample words and thus the percentage of simple words increased. Sample words: the number of words the child produced in this recording session. WCM (child): the average WCM scores of the child's production in this recording session. WCM (target): the average WCM scores of the corresponding target forms. WCM range: the range from the lowest WCM scores to the highest WCM scores. Words with 0 point: the percent of no-point words in all the sample words. The percentage of simple words in Child A was close to that in the target words, as seen in Figure 2 . There was not obvious deviation from the target words. Therefore, not only the WCM ratio comparison accounted for Child A's stability in phonological development but also the percentages of simple words can account for the stable development.",
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"text": "Table 6",
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"text": "Figure 2",
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"section": "The WCM applied to three children in the intelligible words",
"sec_num": "3.1"
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"text": "Although there was a fierce rise and fall in the percentage of simple words in Child B before 27 months of age, the two lines still accorded with each other. No obvious difference existed in the sample words and the target words. However, the deviation emerged from 27 months to 33 months of age, which mirrored the instability when Child B received low points due to the difficulty in producing final nasal consonants and fricative/affricate sounds. In the last stage, the deviation turned narrow and smooth, which could indicate the phonological development became more stable and closed to the target forms.",
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"section": "Figure 3. The simple words in the production of Child B",
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"text": "Similar to Child A, the percentage of simple words in Child C was close to that in the target words.",
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"section": "Figure 4. The simple words in the production of Child C",
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"text": "However, in the later phases, after 27 months, the simple words increased in both the sample words and Child C target the target words. The reason was that Child C poorly performed in final consonant sounds, triphthongs, and velar sounds. This phenomenon caused no points for some of the sample words and thus rose the percentage of simple words.",
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"section": "Figure 4. The simple words in the production of Child C",
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"text": "Although unintelligible syllables cannot be examined in terms of correctness, they still can show the complexity of phonological development, especially in early stages of production. Compared with intelligible words, unintelligible syllables mainly mirror children's phonological properties rather than the natures of errors.",
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"section": "The WCM applied in the unintelligible syllables",
"sec_num": "3.2"
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"text": "In Child A, the low scores at 12 months and 15 months were due to single syllable and simple sounds, e.g., /\u0259/ or /\u0251/ sounds. The 21-month-old data received points in almost every parameter, but the emergence of those indexes was infrequent. The 36-month-old data received very high scores. At this stage Child A was good at articulating velar and fricative/affricate sounds because he got high scores in these two parameters. Moreover, the late acquired sounds also appeared more frequently at the age of 36 months. In general, Child A demonstrated a growing trend of phonological complexity with gradually higher WCM scores, an expanding of WCM range, and a decreasing percentage of simple syllables as shown in Table 7 . Sample words: the number of words the child produced in this recording session. WCM: the average WCM scores of the child's production in this recording session. WCM range: the range from the lowest WCM scores to the highest WCM scores. Syllables with 0 point: the percent of no-point syllables in all the samples. Table 8 is the analysis of Child B's data. He produced 46 syllables at 14 months of age, less than any other recordings. Nevertheless, the WCM score of the 14-month-old data was in the average of all of his 12 recordings, and the data did not contain high percentage of simple syllables. Child B had an obviously high and a relative low WCM scores in his 4-to-5-month-old data and 12-month-old data. In the former, Child B articulated phoneme /h/ in almost every syllable, which contributed to a very high score in the velar sounds. The latter, the points almost gathered in the parameters 'velar' and 'fricative/affricate' which suggested that Child B was mature in articulating velar sounds and fricative/affricate sounds. Only one point was respectively given to the final consonant sounds and the utterances containing more than two syllables. Generally speaking, the WCM scores in Child B were quite high, yet the percentages of simple syllables were high. Sample words: the number of words the child produced in this recording session. WCM: the average WCM scores of the child's production in this recording session. WCM range: the range from the lowest WCM scores to the highest WCM scores. Syllables with 0 point: the percent of no-point syllables in all the samples.",
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"text": "Table 7",
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"text": "Table 8",
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"section": "The WCM applied in the unintelligible syllables",
"sec_num": "3.2"
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"text": "Child C's data analysis is shown in Table 9 . The data that consisted of less than 50 samples were at Sample words: the number of words the child produced in this recording session. WCM: the average WCM scores of the child's production in this recording session. WCM range: the range from the lowest WCM scores to the highest WCM scores. Syllables with 0 point: the percent of no-point syllables in all the samples. Child B presented a rise trend in the later stages. The percentage of simple words/syllables, together with the scoring process, seemed to be efficient to observe the data set thoroughly. Simply a quantified information (the WCM scores) cannot represent the whole event. This is one of remarkable advantages that the WCM offers to assess children's phonological development.",
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"text": "Table 9",
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"section": "The WCM applied in the unintelligible syllables",
"sec_num": "3.2"
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"text": "The Word Complexity Measure (WCM) version used in this study further adjusted the original parameters to better fit Chinese phonology. The following features were added: production of fricatives, affricates, /\u0290/, /y/, and the late acquired sounds. However, the newly added parameter, the late acquired sounds, does not seem to reflect in the outcome effectively. It worked just as one of the point-giving indicators in the scoring process, and thus the core value of the parameter was mot prominent. In future studies, the parameter can be set up as an additional index, like the percentage of simple words, to efficiently observe and analyze the data. That is, the late acquired sounds can be counted as an index indicating advanced phonological complexity and can reflect the developmental milestone. ",
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"section": "Suggestion of further studies",
"sec_num": "4."
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"BIBREF0": {
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"first": "P",
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"FIGREF0": {
"text": "The WCM ratios of intelligible words among three subjectsFigure 1compares the WCM ratio throughout 10 age stages of the three children. As seen in the figure, child A started his speech later than the other two but the phonological development seemed more stable and kept growing. Child C started his first words the earliest but the phonological development seemed unstable with irregular up-down pattern. Child B's WCM ratios arouse and dropped, and then came in plain, and rose in the later stage.Figures 2, 3, 4 present the percentages of simple words in the productions of the three children respectively.",
"type_str": "figure",
"num": null,
"uris": null
},
"FIGREF1": {
"text": "The simple words in the production of Child A",
"type_str": "figure",
"num": null,
"uris": null
},
"FIGREF2": {
"text": "The WCM scores of the three subjects in the unintelligible syllablesThe phonological complexity of the three children can be displayed and compared and shown inFigure 5. Child A presented an evidently progressing phonological complexity since his WCM scores developed and rose. Child C did not show a remarkable progressing, and his developmental complexity proceeded slowly. Child B, however, performed a slightly regressing development. His phonological complexity seemed to grow unstably. The relation between Child A's WCM scores and the simple syllables",
"type_str": "figure",
"num": null,
"uris": null
},
"FIGREF3": {
"text": "The relation between Child B's WCM scores and the simple syllables",
"type_str": "figure",
"num": null,
"uris": null
},
"FIGREF4": {
"text": "The relation between Child C's WCM scores and the simple syllablesThe relation between WCM scores and the percentage of simple syllables can also explain the level of phonological complexity.Figures 6, 7, 8 illustrate the relation of WCM scores and the simple syllables in three children respectively. Once the WCM scores rose, the percentage of simple syllables went downside, and vice versa.",
"type_str": "figure",
"num": null,
"uris": null
},
"FIGREF5": {
"text": "The simple syllables in the productions of the three subjectsChild A and Child C displayed a decreasing percentage of simple syllables over time, whereas",
"type_str": "figure",
"num": null,
"uris": null
},
"TABREF0": {
"type_str": "table",
"text": "The 9 parameters and scoring",
"num": null,
"content": "<table><tr><td>\u5b50 \u97f3</td><td>\u6bcd \u97f3</td><td>\u8072 \u8abf</td><td>\u570b \u5b57</td><td>group</td><td>Phrase</td><td>Fragment</td><td>&gt; 2 syl</td><td>Final C</td><td>Triphthong</td><td>Velar</td><td>Fr, affri</td><td>zr</td><td>rho V</td><td>y</td><td>Late acquired</td><td>sound</td><td>Total points</td></tr></table>",
"html": null
},
"TABREF1": {
"type_str": "table",
"text": "The independent analysis: children's phonological development",
"num": null,
"content": "<table><tr><td/><td/><td>WCM</td><td/><td/></tr><tr><td/><td>Sample words</td><td>child</td><td>child</td><td>Words scored 0/sample words (%)</td></tr><tr><td>A(15;09)</td><td>1</td><td>0</td><td>0</td><td>1/1 (100%)</td></tr><tr><td>A(18;22)</td><td>1</td><td>0</td><td>0</td><td>1/1 (100%)</td></tr><tr><td>A(21;01)</td><td>48</td><td>0.91</td><td>0-4</td><td>25/48 (52%)</td></tr><tr><td>A(24;02)</td><td>50</td><td>1.2</td><td>0-5</td><td>22/50 (44%)</td></tr><tr><td>A(27;18)</td><td>50</td><td>1.56</td><td>0-6</td><td>13/50 (26%)</td></tr><tr><td>A(30;23)</td><td>50</td><td>2.44</td><td>0-9</td><td>7/50 (14%)</td></tr><tr><td>A(33;03)</td><td>50</td><td>2.2</td><td>0-7</td><td>11/50 (22%)</td></tr><tr><td>A(36;09)</td><td>50</td><td>2.94</td><td>0-8</td><td>10/50 (20%)</td></tr></table>",
"html": null
},
"TABREF2": {
"type_str": "table",
"text": "Relational analysis: accuracy of children's speech productions",
"num": null,
"content": "<table><tr><td/><td/><td colspan=\"2\">WCM</td><td>WCM ratio</td><td colspan=\"2\">WCM range</td><td colspan=\"2\">Words with 0 point</td></tr><tr><td>Child</td><td>Sample</td><td>child</td><td>target</td><td>child/target</td><td>child</td><td>target</td><td>child (%)</td><td>target (%)</td></tr><tr><td>(months;days)</td><td>words</td><td/><td/><td/><td/><td/><td/><td/></tr><tr><td>A(33;03)</td><td>50</td><td>2.2</td><td>2.6</td><td>0.85</td><td>0-7</td><td>0-9</td><td>11/50</td><td>6/50</td></tr><tr><td/><td/><td/><td/><td/><td/><td/><td>(22%)</td><td>(12%)</td></tr><tr><td>A(36;09)</td><td>50</td><td>2.94</td><td>3.06</td><td>0.96</td><td>0-8</td><td>0-8</td><td>10/50</td><td>9/50</td></tr><tr><td/><td/><td/><td/><td/><td/><td/><td>(20%)</td><td>(18%)</td></tr></table>",
"html": null
},
"TABREF3": {
"type_str": "table",
"text": "is the outcome of Child A's intelligible words. The data were mainly collected from spontaneous interaction, especially at young ages. Before 15 months of age, no intelligible word was recorded. In the observation session, Child A seldom produced speech even for the unintelligible utterances. He concentrated on playing his toys and did not interact much with the experimenter and his mother. In the recordings at 15 and 18 months of age, Child A produced only one word respectively.",
"num": null,
"content": "<table/>",
"html": null
},
"TABREF4": {
"type_str": "table",
"text": "The analysis of Child A's intelligible words",
"num": null,
"content": "<table><tr><td/><td/><td colspan=\"2\">WCM</td><td>WCM ratio</td><td colspan=\"2\">WCM range</td><td colspan=\"2\">Words with 0 point</td></tr><tr><td>Child</td><td>Sample</td><td>child</td><td>target</td><td>child/target</td><td>child</td><td>target</td><td>child</td><td>target</td></tr><tr><td>(months;days)</td><td>words</td><td/><td/><td/><td/><td/><td/><td/></tr><tr><td>A(15;09)</td><td>1</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>1/1 (100%)</td><td>1/1 (100%)</td></tr><tr><td>A(18;22)</td><td>1</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>1/1 (100%)</td><td>1/1 (100%)</td></tr><tr><td>A(21;01)</td><td>48</td><td>0.91</td><td>1.67</td><td>0.54</td><td>0-4</td><td>0-8</td><td colspan=\"2\">25/48 (52%) 19/48 (40%)</td></tr><tr><td>A(24;02)</td><td>50</td><td>1.2</td><td>1.9</td><td>0.63</td><td>0-5</td><td>0-9</td><td colspan=\"2\">22/50 (44%) 13/50 (26%)</td></tr><tr><td>A(27;18)</td><td>50</td><td>1.56</td><td>2</td><td>0.78</td><td>0-6</td><td>0-12</td><td colspan=\"2\">13/50 (26%) 10/50 (20%)</td></tr><tr><td>A(30;23)</td><td>50</td><td>2.44</td><td>2.5</td><td>0.98</td><td>0-9</td><td>0-9</td><td>7/50 (14%)</td><td>6/50 (12%)</td></tr><tr><td>A(33;03)</td><td>50</td><td>2.2</td><td>2.6</td><td>0.85</td><td>0-7</td><td>0-9</td><td>11/50 (22%)</td><td>6/50 (12%)</td></tr><tr><td>A(36;09)</td><td>50</td><td>2.94</td><td>3.06</td><td>0.96</td><td>0-8</td><td>0-8</td><td>10/50 (20%)</td><td>9/50 (18%)</td></tr></table>",
"html": null
},
"TABREF5": {
"type_str": "table",
"text": "The analysis of Child B's intelligible words",
"num": null,
"content": "<table><tr><td/><td/><td colspan=\"2\">WCM</td><td>WCM ratio</td><td colspan=\"2\">WCM range</td><td colspan=\"2\">Words with 0 point</td></tr><tr><td>Child</td><td>sample</td><td>child</td><td>target</td><td>child/target</td><td>child</td><td>target</td><td>child</td><td>target</td></tr><tr><td>(months;days)</td><td/><td/><td/><td/><td/><td/><td/><td/></tr><tr><td>B(12;13)</td><td>1</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>1/1 (100%)</td><td>1/1 (100%)</td></tr><tr><td>B(18;22)</td><td>5</td><td>1.6</td><td>2.2</td><td>0.73</td><td>0-4</td><td>0-4</td><td>1/5 (20%)</td><td>1/5 (20%)</td></tr><tr><td>B(21;08)</td><td>50</td><td>0.4</td><td>0.4</td><td>1</td><td>0-4</td><td>0-4</td><td colspan=\"2\">41/50 (82%) 38/50 (76%)</td></tr><tr><td>B(24;25)</td><td>50</td><td>1.78</td><td>2.56</td><td>0.7</td><td>0-6</td><td>0-11</td><td>15/50 (30%)</td><td>8/50 (16%)</td></tr></table>",
"html": null
},
"TABREF6": {
"type_str": "table",
"text": "The analysis of Child C's intelligible words",
"num": null,
"content": "<table><tr><td/><td/><td colspan=\"2\">WCM</td><td>WCM</td><td colspan=\"2\">WCM range</td><td colspan=\"2\">Words with 0 point</td></tr><tr><td/><td/><td/><td/><td>ratio</td><td/><td/><td/><td/></tr><tr><td>source</td><td colspan=\"5\">sample child target child/target child</td><td>target</td><td>child</td><td>target</td></tr><tr><td>C(8;26)</td><td>2</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>2/2 (100%)</td><td>2/2 (100%)</td></tr><tr><td>C(15;07)</td><td>25</td><td>0.44</td><td>0.64</td><td>0.69</td><td>0-4</td><td>0-4</td><td>20/25 (80%)</td><td>19/25 (76%)</td></tr><tr><td>C(18;12)</td><td>50</td><td>1</td><td>1.48</td><td>0.68</td><td>0-8</td><td>0-8</td><td>26/50 (52%)</td><td>18/50 (36%)</td></tr><tr><td>C(21;24)</td><td>50</td><td>1.66</td><td>2.16</td><td>0.77</td><td>0-6</td><td>0-8</td><td>16/50 (32%)</td><td>13/50 (26%)</td></tr><tr><td>C(24;01)</td><td>50</td><td>2.04</td><td>2.02</td><td>1.01</td><td>0-7</td><td>0-6</td><td>11/50 (22%)</td><td>11/50 (22%)</td></tr><tr><td>C(27;02)</td><td>50</td><td>2.04</td><td>2.66</td><td>0.77</td><td>0-7</td><td>0-13</td><td>9/50 (18%)</td><td>4/50 (8%)</td></tr><tr><td>C(29;27)</td><td>50</td><td>1.58</td><td>2.2</td><td>0.72</td><td>0-8</td><td>0-8</td><td>20/50 (40%)</td><td>12/50 (24%)</td></tr><tr><td>C(34;05)</td><td>50</td><td>1.92</td><td>2.2</td><td>0.87</td><td>0-8</td><td>0-9</td><td>17/50 (34%)</td><td>13/50 (26%)</td></tr></table>",
"html": null
},
"TABREF9": {
"type_str": "table",
"text": "The analysis of Child A's unintelligible syllables",
"num": null,
"content": "<table><tr><td/><td/><td>WCM</td><td colspan=\"2\">WCM range syllables with 0 point</td></tr><tr><td>source</td><td>sample</td><td>child</td><td>child</td><td>child</td></tr><tr><td>A(2;13)(3;05)</td><td>50</td><td>0.72</td><td>0-4</td><td>34/50 (68%)</td></tr><tr><td>A(4;03)(6;03)</td><td>50</td><td>1.04</td><td>0-4</td><td>25/50 (50%)</td></tr><tr><td>A(9;8)</td><td>50</td><td>0.94</td><td>0-4</td><td>27/50 (54%)</td></tr><tr><td>A(12;19)</td><td>42</td><td>0.52</td><td>0-2</td><td>31/42 (74%)</td></tr><tr><td>A(15;09)</td><td>50</td><td>0.24</td><td>0-4</td><td>43/50 (86%)</td></tr><tr><td>A(18;22)</td><td>50</td><td>0.92</td><td>0-4</td><td>27/50 (54%)</td></tr><tr><td>A(21;01)</td><td>50</td><td>0.38</td><td>0-3</td><td>39/50 (78%)</td></tr><tr><td>A(24;02)</td><td>41</td><td>1.83</td><td>0-8</td><td>15/41 (37%)</td></tr><tr><td>A(27;18)</td><td>50</td><td>1.96</td><td>0-6</td><td>15/50 (30%)</td></tr><tr><td>A(30;23)</td><td>50</td><td>1.82</td><td>0-9</td><td>24/50 (48%)</td></tr><tr><td>A(33;03)</td><td>50</td><td>1.84</td><td>0-8</td><td>19/50 (38%)</td></tr><tr><td>A(36;09)</td><td>50</td><td>3.12</td><td>0-12</td><td>11/50 (22%)</td></tr></table>",
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},
"TABREF10": {
"type_str": "table",
"text": "The analysis of Child B's unintelligible syllables",
"num": null,
"content": "<table><tr><td/><td/><td>WCM</td><td colspan=\"2\">WCM range syllables with 0 point</td></tr><tr><td>source</td><td>sample</td><td>child</td><td>child</td><td>child</td></tr><tr><td>B(2;13)(3;04)</td><td>50</td><td>1.3</td><td>0-11</td><td>28/50 (56%)</td></tr><tr><td>B(4;04)(6;05)</td><td>50</td><td>2.22</td><td>0-8</td><td>17/50 (34%)</td></tr><tr><td>B(9;05)</td><td>50</td><td>1.26</td><td>0-7</td><td>28/50 (56%)</td></tr><tr><td>B(12;13)</td><td>50</td><td>0.68</td><td>0-4</td><td>33/50 (66%)</td></tr><tr><td>B(14;28)</td><td>46</td><td>1.3</td><td>0-4</td><td>19/46 (41%)</td></tr><tr><td>B(18;22)</td><td>50</td><td>0.92</td><td>0-3</td><td>23/50 (46%)</td></tr><tr><td>B(21;08)</td><td>50</td><td>1.22</td><td>0-5</td><td>20/50 (40%)</td></tr><tr><td>B(24;25)</td><td>50</td><td>1.14</td><td>0-5</td><td>22/50 (44%)</td></tr><tr><td>B(27;07)</td><td>50</td><td>0.96</td><td>0-6</td><td>28/50 (56%)</td></tr><tr><td>B(30;01)</td><td>50</td><td>0.92</td><td>0-5</td><td>32/50 (64%)</td></tr><tr><td>B(33;10)</td><td>50</td><td>0.82</td><td>0-7</td><td>32/50 (64%)</td></tr><tr><td>B(36;15)</td><td>50</td><td>0.82</td><td>0-5</td><td>29/50 (58%)</td></tr></table>",
"html": null
},
"TABREF11": {
"type_str": "table",
"text": "8, 15, and 24 months of age. Child C generally displayed a stable phonological development, except for the two data that received relatively low WCM scores. The data at 15 months and 18 months included much more simple syllables. Conversely, the 24-month-old data included low percentage of simple syllables. The late acquired sounds emerged frequently at this stage.",
"num": null,
"content": "<table/>",
"html": null
},
"TABREF12": {
"type_str": "table",
"text": "The analysis of Child C's unintelligible syllables",
"num": null,
"content": "<table><tr><td/><td/><td>WCM</td><td colspan=\"2\">WCM range syllables with 0 point</td></tr><tr><td>source</td><td>sample</td><td>child</td><td>child</td><td>child</td></tr><tr><td>C(2;15)(3;02)</td><td>50</td><td>1.46</td><td>0-4</td><td>19/50 (38%)</td></tr><tr><td>C(4;08)(6;09)</td><td>50</td><td>1.2</td><td>0-4</td><td>26/50 (52%)</td></tr><tr><td>C(8;26)</td><td>43</td><td>1.35</td><td>0-4</td><td>18/43 (42%)</td></tr><tr><td>C(12;19)</td><td>50</td><td>1.04</td><td>0-4</td><td>28/50 (56%)</td></tr></table>",
"html": null
}
}
}
}