scholarly journals Synthetic Network and Search Filter Algorithm in English Oral Duplicate Correction Map

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Xiaojun Chen
Keyword(s):  
Communicative Competence ◽  
Preference Score ◽  
Calculation Algorithm ◽  
User Similarity ◽  
Spoken English ◽  
Advantages And Disadvantages ◽  
User Query ◽  
Assignment Algorithm ◽  
Similarity Calculation ◽  
Initial Starting

Combining the communicative language competence model and the perspective of multimodal research, this research proposes a research framework for oral communicative competence under the multimodal perspective. This not only truly reflects the language communicative competence but also fully embodies the various contents required for assessment in the basic attributes of spoken language. Aiming at the feature sparseness of the user evaluation matrix, this paper proposes a feature weight assignment algorithm based on the English spoken category keyword dictionary and user search records. The algorithm is mainly based on the self-built English oral category classification dictionary and converts the user’s query vector into a user-English-speaking type vector. Through the calculation rules proposed in this paper, the target user’s preference score for a specific type of spoken English is obtained, and this score is assigned to the unrated item of the original user’s feature matrix as the initial starting score. At the same time, in order to solve the problem of insufficient user similarity calculation accuracy, a user similarity calculation algorithm based on “Synonyms Cilin Extended Edition” and search records is proposed. The algorithm introduces “Synonyms Cilin” to calculate the correlation between the semantic items, vocabulary, and query vector in the user query record to obtain the similarity between users and finally gives a user similarity calculation that integrates user ratings and query vectors method. For the task of Chinese grammar error correction, this article uses two methods of predicting the relationship between words in the corpus, Word2Vec and GloVe, to train the word vectors of different dimensions and use the word vectors to represent the text features of the experimental samples, avoiding sentences brought by word segmentation. On the basis of word vectors, the advantages and disadvantages of CNN, LSTM, and SVM models in this shared task are analyzed through experimental data. The comparative experiment shows that the method in this paper has achieved relatively good results.

scholarly journals Podejście zadaniowe (enfoque por tareas) a strategie komunikacyjne w nauczaniu języka hiszpańskiego jako obcego

Neofilolog ◽  
1970 ◽  
pp. 247-256
Author(s):  
Małgorzata Spychała
Keyword(s):  
Language Learners ◽  
Final Section ◽  
Communicative Competence ◽  
Teaching Approach ◽  
Advantages And Disadvantages ◽  
The Common ◽  
Sample Set

The article discusses task-based learning (TBL) in Spanish: enfoque por tareas, which is a teaching approach whose aim is to develop the learner’s communicative competence as well as to help the teacher activate language learners in the classroom – in this case learners of Spanish. The article describes the main objectives of the task and projects defined in the Common European Framework, including the proposed activities designed to fulfill a given task. The final section presents a sample set of lessons following TBL and analyzes the advantages and disadvantages of this approach.

Research on power-law distribution of long-tail data and its application to tourism recommendation

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Xiang Chen ◽  
Yaohui Pan ◽  
Bin Luo
Keyword(s):  
Power Law ◽  
Computational Cost ◽  
High Dimensional ◽  
Power Law Distribution ◽  
Long Tail ◽  
Content Type ◽  
User Similarity ◽  
Similarity Calculation ◽  
Recommendation Diversity ◽  
Long Tail Phenomenon

PurposeOne challenge for tourism recommendation systems (TRSs) is the long-tail phenomenon of ratings or popularity among tourist products. This paper aims to improve the diversity and efficiency of TRSs utilizing the power-law distribution of long-tail data.Design/methodology/approachUsing Sina Weibo check-in data for example, this paper demonstrates that the long-tail phenomenon exists in user travel behaviors and fits the long-tail travel data with power-law distribution. To solve data sparsity in the long-tail part and increase recommendation diversity of TRSs, the paper proposes a collaborative filtering (CF) recommendation algorithm combining with power-law distribution. Furthermore, by combining power-law distribution with locality sensitive hashing (LSH), the paper optimizes user similarity calculation to improve the calculation efficiency of TRSs.FindingsThe comparison experiments show that the proposed algorithm greatly improves the recommendation diversity and calculation efficiency while maintaining high precision and recall of recommendation, providing basis for further dynamic recommendation.Originality/valueTRSs provide a better solution to the problem of information overload in the tourism field. However, based on the historical travel data over the whole population, most current TRSs tend to recommend hot and similar spots to users, lacking in diversity and failing to provide personalized recommendations. Meanwhile, the large high-dimensional sparse data in online social networks (OSNs) brings huge computational cost when calculating user similarity with traditional CF algorithms. In this paper, by integrating the power-law distribution of travel data and tourism recommendation technology, the authors’ work solves the problem existing in traditional TRSs that recommendation results are overly narrow and lack in serendipity, and provides users with a wider range of choices and hence improves user experience in TRSs. Meanwhile, utilizing locality sensitive hash functions, the authors’ work hashes users from high-dimensional vectors to one-dimensional integers and maps similar users into the same buckets, which realizes fast nearest neighbors search in high-dimensional space and solves the extreme sparsity problem of high dimensional travel data. Furthermore, applying the hashing results to user similarity calculation, the paper greatly reduces computational complexity and improves calculation efficiency of TRSs, which reduces the system load and enables TRSs to provide effective and timely recommendations for users.

Online Learning in a Professionally Oriented Communicative Training of Students: ehe Opportunities and Barriers

2019 ◽  
Vol 8 (6) ◽  
pp. 57-61
Author(s):  
O. Filippova
Keyword(s):  
Online Learning ◽  
Foreign Language ◽  
Functional Significance ◽  
Online Courses ◽  
Communicative Competence ◽  
Russian Language ◽  
Language And Culture ◽  
Advantages And Disadvantages ◽  
The Russian Language

The article reveals the opportunities and barriers of online learning as a form of professionally oriented communicative training of students. The author substantiates the functional significance of the open and closed types of online courses after analyzing the advantages and disadvantages of online learning for the formation of communicative competence. The role and specificity of each type of online learning in the formation of professionally significant communicative competence are shown on the example of online courses in the Russian language and culture of professional speech for foreign language.

The Key Technology Research of Knowledge Modeling Method for Complex Product Design

2011 ◽  
Vol 52-54 ◽  
pp. 1193-1198
Author(s):  
Neng Wan ◽  
Rong Mo ◽  
Zhi Yong Chang
Keyword(s):  
Product Design ◽  
Design Knowledge ◽  
Technology Research ◽  
Knowledge Modeling ◽  
Calculation Algorithm ◽  
Complex Product ◽  
Knowledge Models ◽  
Complex Design ◽  
Similarity Calculation ◽  
Semantic Tree

The purpose of this paper is to build knowledge description model for complex product design. In order to uniform the semantic of glossary in design process, an extensive glossary semantic tree is built up and the corresponding semantic similarity calculation algorithm is proposed. The complex design knowledge can be divided into instance pattern, chart pattern, formula pattern and rule pattern. The knowledge models are proposed for these four pattern knowledge models. At last, a design knowledge modeling and reusing system for complex product is achieved, and the design knowledge can be inherited by it.

scholarly journals COMMUNICATIVE COMPETENCE DEVELOPMENT AMONG STUDENTS OF NON-LINGUISTIC UNIVERSITIES WITH THE HELP OF TBLT APPROACH IN FOREIGN LANGUAGE LESSONS

2021 ◽  
pp. 409-414
Author(s):  
Svitlana Nykyporets ◽  
Nataliia Hadaichuk
Keyword(s):  
Comparative Analysis ◽  
Foreign Language ◽  
Language Learning ◽  
Language Proficiency ◽  
Communicative Competence ◽  
Foreign Language Learning ◽  
Competence Development ◽  
Low Level ◽  
Advantages And Disadvantages ◽  
Foreign Language Proficiency

The article contains a comparative analysis of PPP and TBLT approaches to the foreign language learning including the detailed description of the main stages of teaching and lessons planning in the framework of each approach; the advantages and disadvantages of both approaches are also considered in the article. It is also emphasized that using TBLT approach in groups of students from non-linguistic universities with a low level of foreign language proficiency (A2) is rather difficult. In such situations authors recommend considering the traditional PPP method, which allows practicing and fixing the necessary speech patterns.

OPTIMISATION OF SELECTING TRANSPORT MEANS IN BUILDING MATERIALS DEPOT LOGISTICS

2012 ◽  
Vol 166 (4) ◽  
pp. 137-145
Author(s):  
Dariusz SKORUPKA ◽  
Artur DUCHACZEK ◽  
Artur SZLESZYŃSKI
Keyword(s):  
Decision Support ◽  
Building Materials ◽  
Basic Assumption ◽  
Construction Materials ◽  
Calculation Algorithm ◽  
Electre Iii ◽  
Advantages And Disadvantages ◽  
Inexperienced User ◽  
Support Methods ◽  
Selection Of

The Bellinger’s method presented in the paper is an example of how to use it in depot logistics. The authors focus their considerations on the selection of a forklift which could be used for carrying construction materials collected in a depot. The paper describes a basic assumption of the Bellinger’s technique and then evaluates its advantages and disadvantages. The results of the calculations made with the Bellinger’s method, for example, are compared with the calculations made with the Electre III method. Both of those multi-criteria decision support methods produce a ranking of decision variants. The visualisation of this method is shown in the graph in Figure 1. The best decision variant is put on top of the graph, the worst decision variant is put at its bottom. The graph shows that there are no big differences between those two methods. As a result, one can assume that both of them are useful. However, the Bellinger’s method is far simpler to use than the Electre III method, even by an inexperienced user. The calculation algorithm for the Bellinger's method shown in the paper proves that the method is easy to use.

scholarly journals Role-play games based on video materials as a means of formation of communicative competence in learning Russian as a foreign language

2020 ◽  
pp. 118-130
Author(s):  
Maiya Myrzabekova ◽  
Nurlan Akhmetova
Keyword(s):  
Foreign Language ◽  
Communicative Competence ◽  
Institutional Support ◽  
Stable Form ◽  
Visual Component ◽  
Advantages And Disadvantages ◽  
Study Materials ◽  
Video Recordings ◽  
Distant Education ◽  
Self Learning

Distant education has become a stable form implementing higher education. Advantages and disadvantages of this distant education form have been discussed since the form was introduced. Interactivity with a strong visual component, effective communication in various combinations – one on one, duet, group – and active learning with informative, moral, institutional support from the very beginning have been declared as one of the greatest benefits distant education. But today we are already talking about interactivity’s deficiencies, how we return to the problem of routine one-way education. There is a reason why there are regular studies in distant education research on contact forms becoming more favorable than distant forms, as they are chosen by students more frequently. The time, we enjoy in digital opportunity studies, already shown a number of stereotypes about e-studies, among which, the college highlights the following: e-studies resembled boring self-learning process with static study materials and monotonous video recordings due to lack of usual lecture form, where the lecturer meets with the group, help them with study materials; there was a lack of lectures where you can meet fellow students, exchange views and work in groups. Переход на дистанционное обучение в условиях пандемии и изменения технологической сферы не только влекут за собой изменение ценностных ориентаций общества, но и оказали непосредственное влияние на процессы в образовательной сфере. Преподаватель находится в постоянном режиме «инновационного поиска», связанного с изменением подходов к построению образовательного процесса. Создание реальных и воображаемых ситуаций общения на уроке русского языка с применением различных методов и приемов работ (ролевые игры, дискуссии, проекты и др.) посредством использования видео на уроке русского языка в настоящее время является неотъемлемой частью образовательного процесса и настоящим подспорьем в работе преподавателя. Цель данной работы – обобщить и представить опыт работы по применению ролевых игр «Экскурсия» и телепередача «Все о России» в интеграции (в данном образовательном «поле»), построенных на основной теме и поэтапного деления предлагаемого видеоматериала, способствующих повышению качества обучения и интереса к изучению предмета, обучающих естественной коммуникации, позволяющих активизировать студентов в процессе освоения русского языка и побуждающих к совершенствованию своих коммуникативных умений, расширению, углублению профессиональных знаний и обогащению их языкового запаса и страноведческих знаний. Мы выяснили, что применение интерактивного метода ролевой игры и различных средств ИКТ (информационно-коммуникационные технологии) способствуют не только повышению интереса к изучению языка, но и создают иллюзию участия в реальной жизни страны изучаемого языка, а это в свою очередь повышает мотивацию студентов, обеспечивает непосредственное восприятие и изучение культуры России, связывает занятие с реальным миром, стимулирующее почти подлинную коммуникацию.

scholarly journals API Recommendation Based on WII-WMD#

2021 ◽  
Vol 15 (4) ◽  
pp. 0-0
Keyword(s):  
Software Engineering ◽  
Software Development ◽  
Recommendation System ◽  
Semantic Information ◽  
Calculation Algorithm ◽  
Software Developers ◽  
Software Libraries ◽  
Similarity Calculation ◽  
Large Software ◽  
The Right

Improving software development efficiency based on existing APIs is one of the hot researches in software engineering. Understanding and learning so many APIs in large software libraries is not easy and software developers prefer to provide only requirements descriptions to get the right API. In order to solve this problem, this paper proposes an API recommendation method based on WII-WMD, an improved similarity calculation algorithm. This method firstly structures the text, and then fully mines the semantic information in the text. Finally, it calculates the similarity between the user's query problem and the information described in the API document. The experiment results show that the API recommendation based on WII-WMD can improve the efficiency of the API recommendation system.

scholarly journals API Recommendation Based on WII-WMD

2021 ◽  
Vol 15 (4) ◽  
pp. 0-0
Keyword(s):  
Software Engineering ◽  
Software Development ◽  
Recommendation System ◽  
Semantic Information ◽  
Calculation Algorithm ◽  
Software Developers ◽  
Software Libraries ◽  
Similarity Calculation ◽  
Large Software ◽  
The Right

Improving software development efficiency based on existing APIs is one of the hot researches in software engineering. Understanding and learning so many APIs in large software libraries is not easy and software developers prefer to provide only requirements descriptions to get the right API. In order to solve this problem, this paper proposes an API recommendation method based on WII-WMD, an improved similarity calculation algorithm. This method firstly structures the text, and then fully mines the semantic information in the text. Finally, it calculates the similarity between the user's query problem and the information described in the API document. The experiment results show that the API recommendation based on WII-WMD can improve the efficiency of the API recommendation system.

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