THE CINQUAIN APPROACH USE IN THE FRAME OF PROFESSIONAL ENGLISH TRAINING

Author(s):  
O.B. Bagrintseva ◽  
◽  
M.G. Gavrikova ◽  
O.A. Zobnina ◽  
◽  
...  
Keyword(s):  
2020 ◽  
Vol 9 (2) ◽  
pp. 21-39
Author(s):  
Nguyen Chau Bich Tuyen

A variety of challenges in online training are found in numerous learning environments such as cultural background, accessibility, technology, learning content and so on. In the developed or western societies, the online training has been developing in a stable way for decades, while numerous typical obstacles seem to be visible in developing countries including student support, flexibility, teaching and learning activities, access, academic confidence, localization and attitudes (Andersson, 2008). These difficulties are not excluded in the context of online English training system (OETS) at Ho Chi Minh City Open University (HCMCOU). Although this institution ever makes effort to limit these possible challenges for ages, plenty of impactful issues leading to serious difficulties of OETS also obviously exist. Hence, to fully explore the key factors that cause greater barriers in this training system, a qualitative on traditions of bioghaphy and grounded theory method was applied. The qualitative data is to be collected from the responses on openended questionaire sent for 30 online English majors and indirect interviews with 5 salient learners were also conducted. The findings show that some minor limitations of learners such as negative learning habits, willpower shortage and neglected learning perception lead to greater barriers of online English training.


2010 ◽  
Vol 7 (1) ◽  
pp. 75-84 ◽  
Author(s):  
Ye Tao ◽  
Li Xueqing ◽  
Wu Bian

This paper presents a novel alignment approach for imperfect speech and the corresponding transcription. The algorithm gets started with multi-stage sentence boundary detection in audio, followed by a dynamic programming based search, to find the optimal alignment and detect the mismatches at sentence level. Experiments show promising performance, compared to the traditional forced alignment approach. The proposed algorithm has already been applied in preparing multimedia content for an online English training platform.


The Winners ◽  
2015 ◽  
Vol 16 (2) ◽  
pp. 96 ◽  
Author(s):  
Rianto Nurcahyo ◽  
Raja Halim Harahap ◽  
Didiet Gharnaditya

Entering the era of globalization, better known as free market requires every individual to prepare reliable resources, especially in the field of Science and Technology. In order to master these demands, adequate knowledge is required in dealing with the demands of a globalized world that is full of competition. In this regard, the role of the English language is required both in mastering communication technologies and to interact directly; moreover, the presence of the media especially the Internet will force people to learn English. As a means of global communication, English should be actively mastered both orally and in written. In an increasingly globalized business world, there are more local Indonesian companies entering into the world market, and growing number of international companies. This research is an attempt to create the roles of exporters, especially the Micro, Small and Medium Enterprises (SMEs) through the products produced by the exporters themselves. Comparing Indonesian export revenue number to other countries, the value of Indonesia's exports is relatively low. One of the constraints faced by exporters is in terms of the ability of a foreign language, namely English. Mastery of English is the main capital to open international trading communication. This research focuses on Quantitative method using chi square analysis, where it can be used to test the relationor the effect of two nominal variables and to measure the relation strength of each variable with other nominal variable (C as the coefficient of contingency). From the chi square method, difference from the SME before and after the Export English course training is expected to be found. The training will use classroom method. The title of this study is prepare SME in Facing AEC 2015 through English training program to obtain the export market.


2018 ◽  
Vol 52 (2) ◽  
pp. 576-608 ◽  
Author(s):  
SAZANA JAYADEVA

AbstractAnthropological studies of India's post-liberalization middle classes have tended to focus mainly on the role of consumption behaviour in the constitution of this class group. Building on these studies, and taking class as an object of ethnographic enquiry, I argue that, over the last 20 years, class dynamics in the country have been significantly altered by the unprecedentedly important and complex role that the English language has come to play in the production and reproduction of class. Based on 15 months of ethnographic fieldwork—conducted at commercial spoken-English training centres, schools, and corporate organizations in Bangalore—I analyse the processes by which this change in class dynamics has occurred, and how it is experienced on the ground. I demonstrate how, apart from being a valuable type of class cultural capital in its own right, proficiency in English has come to play a key role in the acquisition and performance of other important forms of capital associated with middle-class identity. As a result, being able to demonstrate proficiency in English has come to be experienced as a critical element in claiming and maintaining a space in the middle class, regardless of the other types of class cultural capital a person possesses.


2020 ◽  
Vol 34 (03) ◽  
pp. 2645-2652 ◽  
Author(s):  
Yaman Kumar ◽  
Dhruva Sahrawat ◽  
Shubham Maheshwari ◽  
Debanjan Mahata ◽  
Amanda Stent ◽  
...  

Visual Speech Recognition (VSR) is the process of recognizing or interpreting speech by watching the lip movements of the speaker. Recent machine learning based approaches model VSR as a classification problem; however, the scarcity of training data leads to error-prone systems with very low accuracies in predicting unseen classes. To solve this problem, we present a novel approach to zero-shot learning by generating new classes using Generative Adversarial Networks (GANs), and show how the addition of unseen class samples increases the accuracy of a VSR system by a significant margin of 27% and allows it to handle speaker-independent out-of-vocabulary phrases. We also show that our models are language agnostic and therefore capable of seamlessly generating, using English training data, videos for a new language (Hindi). To the best of our knowledge, this is the first work to show empirical evidence of the use of GANs for generating training samples of unseen classes in the domain of VSR, hence facilitating zero-shot learning. We make the added videos for new classes publicly available along with our code1.


2014 ◽  
Vol 989-994 ◽  
pp. 5049-5052
Author(s):  
Ming Zhao ◽  
Wang Zhang

With the rapid development of modern information technology, visual simulation technology is widely used popularized in the construction of college English. Therefore, this paper tries to have a further research on visual simulation technology into college English. Results show that the visual simulation is very important to improve students’ recognition, understanding of tourism English training courses.


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