The Design of Automatic Correction System for Spoken English Pronunciation Errors Based on Phonemes

2020 ◽  
Author(s):  
Yang Xin
Keyword(s):  
Automatic Correction ◽  
Spoken English ◽  
English Pronunciation ◽  
Correction System

A Study on the Differences in Middle School English Pronunciation Teaching in Underdeveloped and Developed Areas in China and Their Impact

2018 ◽  
Vol 8 (12) ◽  
pp. 1753
Author(s):  
Wen Gu ◽  
Qiaobei Zhu
Keyword(s):  
Middle School ◽  
English Learning ◽  
Spoken English ◽  
English Pronunciation ◽  
Teaching Faculty ◽  
Underdeveloped Areas ◽  
The University ◽  
The Impact ◽  
Listening And Speaking ◽  
Middle School English

Spoken English is one of the most important parts in English learning. And the footstone of Spoken English is pronunciation, which should have taken pride of educational place in the courses of secondary education anywhere. Differences of pronunciation teaching in middle school exist in the English pronunciation teaching between underdeveloped areas and developed areas, which effects students’ further English study. By the methods of interviewing and questionnaire, this paper makes a comparison of current situation of English teaching in middle schools from underdeveloped areas and developed areas in China. This thesis analyzes the causes of differences from teaching idea, teaching contents and teaching faculty, and the impact on the students from students’ listening and speaking abilities in the university. Finally, the author presents some constructive suggestions.

scholarly journals THE EFFECTIVENESS OF INTUITIVE-IMITATIVE APPROACH FOR TEACHING ENGLISH PRONUNCIATION IN INDONESIA VOCATIONAL HIGH SCHOOL

2020 ◽  
Vol 6 (1) ◽  
pp. 77
Author(s):  
Annisa Shofa Tsuraya
Keyword(s):  
High School ◽  
Test Score ◽  
Vocational High School ◽  
Spoken English ◽  
English Pronunciation ◽  
Post Test ◽  
The Difference ◽  
Sentence Stress ◽  
Casual Speech ◽  
Teaching Pronunciation

Pronunciation involves far more than individual sounds. Word stress, sentence stress, intonation, and word linking all influence the sound of spoken English, not to mention the way we often slur words and phrases together in casual speech. English pronunciation involves too many complexities for learners to strive for a complete elimination of accent, but improving pronunciation will boost self-esteem, facilitate communication, and possibly lead to a better job or least much respect in the workplace. This research aimed at investigating the effect of Intuitive-Imitative Approach in teaching pronunciation. The participants of this research were the second-year students of Indonesia Vocational High School in amount of 40 students. This research applied pre-experimental method. The instruments of this research were pre-test and post-test in oral test. The result of this research finally showed that the students’ pronunciation of post-test score was higher than the students’ pre-test score. Meanwhile, the result of t­-test showed that the difference was significant where value of the t-test was greater than the value of the t-table (20.17 ≥ 2.069). Thus, it can be concluded that the use of Intuitive-Imitative Approach is effective to use in teaching pronunciation. So that, by applying this method in learning pronunciation, the teacher are hoped to be more creative to enrich their selected word by choosing the unique words to stimulate students and present them an enjoyable, relax, and understandable way in learning process. 

scholarly journals Automatic Correction of Arabic Dyslexic Text

Computers ◽  
2019 ◽  
Vol 8 (1) ◽  
pp. 19 ◽  
Author(s):  
Maha Alamri ◽  
William Teahan
Keyword(s):  
Word Processing ◽  
Language Model ◽  
Text Compression ◽  
Arabic Text ◽  
Automatic Correction ◽  
Compression Scheme ◽  
Candidate List ◽  
Arabic Word ◽  
Processing Software ◽  
Correction System

This paper proposes an automatic correction system that detects and corrects dyslexic errors in Arabic text. The system uses a language model based on the Prediction by Partial Matching (PPM) text compression scheme that generates possible alternatives for each misspelled word. Furthermore, the generated candidate list is based on edit operations (insertion, deletion, substitution and transposition), and the correct alternative for each misspelled word is chosen on the basis of the compression codelength of the trigram. The system is compared with widely-used Arabic word processing software and the Farasa tool. The system provided good results compared with the other tools, with a recall of 43%, precision 89%, F1 58% and accuracy 81%.

Whose Standard, Which Model? Towards the Definition of a Standard Nigerian Spoken English for Teaching, Learning and Testing in Nigerian Schools

1990 ◽  
Vol 89-90 ◽  
pp. 91-106
Author(s):  
V.O. Awonusi
Keyword(s):  
Native Speaker ◽  
Standard Form ◽  
Teaching English ◽  
Spoken English ◽  
Social Variation ◽  
Local Standard ◽  
English Pronunciation ◽  
Definition Of ◽  
Teaching Learning

Abstract The adoption of RP as a model of teaching in non-native speaker English societies such as Nigeria seems to have come to say. However, the accent of English that emerged in Nigeria, over the years, (to some linguists) is anything but RP (although some hold the view that there are a few RP speakers in Nigeria). We are, therefore, forced to ask the question: What is RP?; or better still: what are its defining characteristics, particularly in relation to non-native varieties of English? Consequently, were are motivated to search for, and identify alternative local (standard) accents for teaching purposes. This paper attempts to identify the Nigerian standard accent of English that is appropriate for adoption as a model for teaching English pronunciation. It examines the problems associated with the identification of a standard form in the light of variables such as international intelligibility local acceptability, a real and social variation, in native and non-native speaker communities alike. On the basis of socio-linguistic realities it recommends an accent for teaching, learning and testing in Nigerian schools.

Development of a Drift-Correction Procedure for a Photoelectric Spectrometer

1978 ◽  
Vol 32 (1) ◽  
pp. 46-53 ◽  
Author(s):  
Gilbert B. Chapman ◽  
William A. Gordon
Keyword(s):  
Optical Path ◽  
Automatic Correction ◽  
Sample Analysis ◽  
Electronic Components ◽  
Drift Correction ◽  
Direct Reading ◽  
Coefficients Of Variation ◽  
Lamp Current ◽  
Analytical Calibration ◽  
Correction System

This procedure provides automatic correction for drifts in the radiometric sensitivity of each detector channel in a direct-reading emission spectrometer. Such drifts are customarily controlled by the regular analyses of standards, which provide corrections for changes in the excitational, optical, and electronic components of the instrument. This standardization procedure, however, corrects for the optical and electronic drifts, thus minimizing the time, effort, and cost of regularly processing standards. This method of radiometric drift correction uses a 1000-W tungsten-halogen reference lamp to illuminate each detector through the same optical path as that traversed during sample analysis. The responses of the detector channels to this reference light are regularly compared with channel responses to the same light intensity at the time of analytical calibration in order to determine and correct for drift. The coefficients of variation of these drift corrections average less than 1%. Except for placing the lamp in position, the procedure is fully automated and compensates for changes in spectral intensity due to variations in lamp current. A discussion of the implementation of this drift-correction system is included.

scholarly journals English Pronunciation Standards Based on Multimodal Acoustic Sensors

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Lingyi Zhu
Keyword(s):  
Feature Extraction ◽  
Language Learning ◽  
Error Detection ◽  
Video Frame ◽  
Detection Accuracy ◽  
Spoken English ◽  
Error Detection And Correction ◽  
English Pronunciation ◽  
Opening And Closing ◽  
Gradient Enhancement

In recent years, economic globalization is the trend, and communication between countries is getting closer and closer; more and more people begin to pay attention to learning spoken English. The development of computer-aided language learning makes it more convenient for people to learn spoken English; however, the detection and correction of incorrect English pronunciation, which is its core, are still inadequate. In this paper, we propose a multimodal end-to-end English pronunciation error detection and correction model based on audio and video, which does not require phoneme forced alignment of the English pronunciation video signal to be processed, and uses rich audio and video features for English pronunciation error detection, which improves the error detection accuracy to a great extent especially in noisy environments. To address the shortcomings of the current lip feature extraction algorithm which is too complicated and not enough characterization ability, a feature extraction scheme based on the lip opening and closing angle is proposed. The lip syllable frames are obtained by video frame splitting, the syllables are denoised, the key point information of the lips is obtained using a gradient enhancement-based regression tree algorithm, the effects of speaker tilt and movement are removed by scale normalization, and finally, the lip opening and closing angles are calculated using mathematical geometry, and the lip feature values are generated by combining the angle changes.

STATUS OF SPOKEN ENGLISH IN GOVERNMENT SCHOOLS OF RAJASTHAN

2017 ◽  
Vol 4 (23) ◽  
Author(s):  
Preeti Singh
Keyword(s):  
Second Language ◽  
Mother Tongue ◽  
Government Schools ◽  
Language Laboratory ◽  
Spoken English ◽  
Regional Language ◽  
English Pronunciation ◽  
Correct Pronunciation ◽  
Main Language

A language is a systematic means of communication by the use of sounds or conventional symbols. It is system of communicating ideas and feelings using sounds, gesture, signs or marks. Rajasthan is basically a Hindi speaking state, in government offices and schools Hindi is main language, very few people use written and spoken form of English. Those who use English are not efficiently using it. Therefore it is an urgent requirement to study status of English pronunciation andalso to suggest strategies for improving English standard (Pronunciation) in government schools of Rajasthan, here people speaks many languages and dialects. So, the correct pronunciation of the words is a major problem in teaching second language because the pronunciation is greatly influenced by the regional language and dialect. The sounds of words which are not used in the mother tongue, is difficult to pronounce correctly. The teacher should provide appropriate situation and opportunities to the students by imitating the words, by using lingua phone and language laboratory, drill techniques in classroom the skill of correct pronunciation can be developed among the students. This paper reflectsthe prevailing condition and status of English pronunciation in government schools of Rajasthan.

System of Automatic Correction and Measurement for Hypoid Gears

2011 ◽  
Vol 464 ◽  
pp. 155-158 ◽  
Author(s):  
Tian Xing Li ◽  
Xiao Zhong Deng ◽  
Zhen Shan Gao ◽  
Ju Bo Li
Keyword(s):  
Closed Loop ◽  
Tooth Surface ◽  
Milling Machine ◽  
Automatic Correction ◽  
Hypoid Gears ◽  
Surface Deviation ◽  
Deviation Measurement ◽  
The Stability ◽  
Surface Precision ◽  
Correction System

The system of automatic correction and deviation measurement of hypoid gears is the basic platform for the digital closed-loop manufacturing technology. Based on the gear measuring center and the numerical controlled gear milling machine, a measurement and correction system is developed by the application of Visual C++ and Fortran. The architecture and the implement of the main modules are elaborated. Experiments and applications indicate that the tooth surface deviation can be effectively reduced by the system of automatic correction and measurement, and the stability of tooth surface precision and manufacturing quality is improved. It would provide the foundation for the digitalization of manufacture and quality control of hypoid gears.

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