No description available.

No description available.

The purpose of this study was to examine the effect of talker and listener dialect on the validity and reliability of word recognition scores from two sets of Mandarin speech audiometry materials. Four lists of bisyllabic words in Mainland Mandarin and Taiwan Mandarin dialects were administered to 16 participants of each dialect with normal hearing across two test sessions. The performance on materials presented in the native dialect was compared to performance on non-native dialect assessment to determine validity and reliability of test materials. Statistical analysis indicated significant differences between word recognition scores across test sessions, talker and listener dialect, and among lists. However it is unclear if such differences constitute clinically significant differences.

The purpose of this study was to develop, digitally record, evaluate, and equate Mongolian monosyllabic and bisyllabic child-appropriate words which can be used in the measurement of word recognition scores and speech-reception threshold (SRT) in children who are native speakers of Mongolian. Based on data collected from a survey of Mongolian child language professionals, a subset of child-appropriate materials was adapted from a set of materials developed for Mongolian adults. Two lists of 50 monosyllabic words and four half-lists of 25 words each were developed for testing the word recognition abilities of Mongolian children. The developed lists and half-lists were found to be statistically equivalent in terms of audibility and psychometric slope, with average psychometric function slopes (at 50% intelligibility) of 6.41 %/dB for the male recordings and 5.84 %/dB for the female recordings. Given the structure and limitations of the study, a valid set of child-appropriate SRT materials could not be developed. It is likely that the inability to obtain a subset of SRT words was due in part to large differences between the mean PTA of the subjects and the threshold for 50% intelligibility, as well as the inability to represent most of the selected words pictographically. However the information gained from this study provides additional insight that may aid the future development of child-appropriate Mongolian SRT materials. Digital recordings of the resulting psychometrically equivalent child- appropriate speech audiometry materials are available on compact disc.

The purpose of this study was to examine the accuracy of English-speakers in determining the word recognition score of native Taiwan Mandarin-speakers. Digitally recorded Mandarin word lists were presented to 10 native Mandarin-speakers from Taiwan (five male, five female), from whom oral and written responses were collected. Oral responses were scored by 30 native English-speakers, 15 of which had no experience with Mandarin and 15 with two to three years of college-level Mandarin courses or equivalent knowledge of Mandarin. The judges who had experience with Mandarin were able to score the WRS tests with 97% accuracy (with scores ranging from 10% below to 4% above the actual score of the test). The judges without experience with Mandarin scored the WRS tests with 88.8% accuracy (with scores ranging from 34% below to 26% above the actual score of the test). An analysis of variance found that there was a significant difference between a judge's knowledge of Mandarin and his or her ability to accurately score the oral responses. An inspection of the performance of the judges in respect to the five different Mandarin tones indicated that there are some tone combinations that are more difficult to score correctly than others. While it is apparent that tone combination may play a role in the ability to accurately score WRS words in Mandarin, the implications of this for a clinical setting are uncertain because words with these tone combinations were not heard often. Tone perception training for the judges or simply making clinicians aware of this difficulty in tone identification may be of benefit in overcoming this obstacle.

No description available.

The field of science education, specifically biology, is becoming more challenging due to richer and more rigorous content demands. Along with new demands is the emergence of National Common Core Standards and End of Course Exams. Despite these changes, one factor remains consistent: As content knowledge increases, language demands also increase. For students with learning disabilities (LD), specifically those with language-based disabilities, the increasing vocabulary demand can lead to failure due not to a lack of understanding biology but the vocabulary associated with the content. In an attempt to impact high school students with learning disabilities‘ success in biology, a vocabulary intervention was investigated. Research suggests as more and more content is compressed into science courses, teachers are looking toward technology to assist with vocabulary mastery. The current research study examined the effects of a digital flash card intervention, Study Stack, versus a paper flash card intervention in biology for students with LD by measuring students‘ word knowledge and overall biology course achievement. Findings from repeated measures ANOVA showed a statistically significant increase on both the vocabulary assessment as well as the course grades in biology over time. However, the test of between effects considering card type yielded no differential change on vocabulary assessment and course grades in biology. Based on qualitative data, students interviewed liked the tool and found it to be helpful in learning biology terminology.

Temporally selective attention allows for the preferential processing of stimuli presented at particular times, and is reasoned to be important for processing rapidly presented information such as speech. Recent event-related potential (ERP) evidence demonstrates that listeners direct temporally selective attention to times that contain word onsets in speech. This may be an effective listening strategy since these moments provide critical information to the listener, but the mechanism that underlies this process remains unexplored. In three experiments, putative attention cues including word recognition and predictability were manipulated in both artificial and natural speech and ERP responses at various times were compared to determine how listeners selectively process word onsets in speech. The results demonstrate that listeners allocate attention to word-initial segments because they are less predictable than other times in the speech stream. Attending to unpredictable moments may improve spoken language comprehension by allowing listeners to glean the most relevant information from an otherwise overwhelming speech signal.

The design of a machine which reads unconstrained words still remains an unsolved problem. For example, automatic interpretation of handwritten documents by a computer is still under research. Most systems attempt to segment words into letters and read words one character at a time. However, segmenting handwritten words is very difficult. So to avoid this words are treated as a whole. This research investigates a number of features computed from whole words for the recognition of handwritten words in particular. Arabic text classification and recognition is a complicated process compared to Latin and Chinese text recognition systems. This is due to the nature cursiveness of Arabic text. The work presented in this thesis is proposed for word based recognition of handwritten Arabic scripts. This work is divided into three main stages to provide a recognition system. The first stage is the pre-processing, which applies efficient pre-processing methods which are essential for automatic recognition of handwritten documents. In this stage, techniques for detecting baseline and segmenting words in handwritten Arabic text are presented. Then connected components are extracted, and distances between different components are analyzed. The statistical distribution of these distances is then obtained to determine an optimal threshold for word segmentation. The second stage is feature extraction. This stage makes use of the normalized images to extract features that are essential in recognizing the images. Various method of feature extraction are implemented and examined. The third and final stage is the classification. Various classifiers are used for classification such as K nearest neighbour classifier (k-NN), neural network classifier (NN), Hidden Markov models (HMMs), and the Dynamic Bayesian Network (DBN). To test this concept, the particular pattern recognition problem studied is the classification of 32492 words using ii the IFN/ENIT database. The results were promising and very encouraging in terms of improved baseline detection and word segmentation for further recognition. Moreover, several feature subsets were examined and a best recognition performance of 81.5% is achieved.

In 3 experiments, I investigated the role of verbal behavior development in reading and spelling sight words. I evaluated effects of different interventions for reading and spelling sight words and establishing the transformation of stimulus function across word reading and spelling. In Experiment 1, I evaluated the effects of 3 interventions on the acquisition and maintenance of sight words: single topography exemplar instruction (STEI), multiple topography exemplar instruction (MTEI), and MTEI with dictation (MTEI-D). The STEI intervention consisted of reading individual sight words. The MTEI intervention consisted of reading, pointing-to, and intraverbally responding to sight words. The MTEI-D intervention consisted of reading, pointing-to, and writing dictation responses for sight words. I measured the acquisition and maintenance of sight words through 5 response topographies: textual, intraverbal, point-to, sentence generalization, and dictation responses. The results indicated that participants acquired and maintained textual, intraverbal, point-to, and sentence generalization responses across all 3 conditions but only acquired dictation responses in the MTEI-D condition. The results from the MTEI-D condition suggest that the rotation of textual and dictation responses may have established transformation of stimulus function (TSF) across word reading and spelling. Experiment 2 evaluated the effects of multiple exemplar instruction (MEI) across word reading and spelling on establishing TSF across word reading and spelling. The results from Experiment 2 indicated that the MEI intervention was not effective in establishing TSF across word reading and spelling for all participants. However, the results highlighted the need to further evaluate the role of other cusps such as, incidental bidirectional naming (Inc-BiN) and conditioned seeing, in strengthening the stimulus control for establishing TSF across word reading and spelling. In Experiment 3, I evaluated the effects of a MEI intervention across delayed textual and delayed transcription responses on establishing TSF across word reading and spelling. The results demonstrated that MEI across delayed textual and transcription responses was effective in establishing TSF across word reading and spelling for all participants. The results also demonstrated that all participants increased in their correct responding for conditioned seeing probes. Keywords: sight words, transformation of stimulus function, incidental bidirectional naming, conditioned seeing, word reading, spelling