scholarly journals Digital Mining Algorithm of English Translation Course Information Based on Digital Twin Technology

2021 ◽  
Vol 2021 ◽  
pp. 1-7
Author(s):  
Juan Yang
Keyword(s):  
Execution Time ◽  
English Translation ◽  
Accuracy Rate ◽  
Language Mapping ◽  
Digital Twin ◽  
Mining Algorithm ◽  
Language Communication ◽  
Text Information ◽  
Cross Language ◽  
Mining Algorithms

Cross-language communication puts forward higher requirements for information mining in English translation course. Aiming at the problem that the frequent patterns in the current digital mining algorithms produce a large number of patterns and rules, with a long execution time, this paper proposes a digital mining algorithm for English translation course information based on digital twin technology. According to the results of word segmentation and tagging, the feature words of English translation text are extracted, and the cross-language mapping of text is established by using digital twin technology. The estimated probability of text translation is maximized by corresponding relationship. The text information is transformed into text vector, the semantic similarity of text is calculated, and the degree of translation matching is judged. Based on this data dimension, the frequent sequence is constructed by transforming suffix sequence into prefix sequence, and the digital mining algorithm is designed. The results of example analysis show that the execution time of digital mining algorithm based on digital twin technology is significantly shorter than that based on Apriori and Map Reduce, and the mining accuracy rate reached more than 80%, which has good performance in processing massive data.

scholarly journals Effective Application of Improved Profit-Mining Algorithm for the Interday Trading Model

2014 ◽  
Vol 2014 ◽  
pp. 1-13 ◽  
Author(s):  
Yu-Lung Hsieh ◽  
Don-Lin Yang ◽  
Jungpin Wu
Keyword(s):  
Financial Markets ◽  
Real World ◽  
Traditional Approach ◽  
Rule Mining ◽  
Mining Algorithm ◽  
Large Databases ◽  
Real World Applications ◽  
Trading Model ◽  
Mining Algorithms ◽  
Infant Stage

Many real world applications of association rule mining from large databases help users make better decisions. However, they do not work well in financial markets at this time. In addition to a high profit, an investor also looks for a low risk trading with a better rate of winning. The traditional approach of using minimum confidence and support thresholds needs to be changed. Based on an interday model of trading, we proposed effective profit-mining algorithms which provide investors with profit rules including information about profit, risk, and winning rate. Since profit-mining in the financial market is still in its infant stage, it is important to detail the inner working of mining algorithms and illustrate the best way to apply them. In this paper we go into details of our improved profit-mining algorithm and showcase effective applications with experiments using real world trading data. The results show that our approach is practical and effective with good performance for various datasets.

Problems of ethnocultural identity and cross-language communication

2014 ◽  
Vol 5 (3) ◽  
pp. 39-42
Author(s):  
G.Kh. Gilazetdinova ◽  
I.Zh. Edikhanov ◽  
A.A. Aminova
Keyword(s):  
Language Communication ◽  
Cross Language ◽  
Ethnocultural Identity

Research on the Web Mining Algorithm Application in Tourism E-Commerce

2013 ◽  
Vol 380-384 ◽  
pp. 1133-1136
Author(s):  
Xue Song Zhao ◽  
Kai Fan Ji
Keyword(s):  
Association Rules ◽  
Clustering Analysis ◽  
Web Mining ◽  
Web Design ◽  
Developed Countries ◽  
Online Sales ◽  
Mining Algorithm ◽  
Personalized Services ◽  
Mining Algorithms ◽  
The Web

Web mining algorithms are widely used in e-commerce. Tourism e-commerce develops fast in recent years in China but the application of web mining algorithms stays in low level compared with some developed countries. This paper first discusses two major web mining algorithms: the Association Rules algorithm and Clustering Analysis, and then analyzes the application of web mining algorithm in tourism e-commerce. It concludes that web mining algorithms can help tourism e-commerce to improve web design, increase online sales and provide better personalized services for web users.

scholarly journals Translation of economic terms and abbreviations for websites (from project-syndicate to inosmi.ru)

2021 ◽  
Vol 273 ◽  
pp. 12132
Author(s):  
Olga Moysova ◽  
Svetlana Marchenko ◽  
Anna Boyko
Keyword(s):  
English Language ◽  
Financial Economic ◽  
Necessary Condition ◽  
The Internet ◽  
Morphological Method ◽  
Language Communication ◽  
Cross Language

The relevance of studying the methods and problems of translating terms, the equivalence of terms and abbreviations of economic orientation is a necessary condition for cross-language communication. Linguists are interested in studying the development of financial, economic, and managerial terminology of a peculiar language, plus studying the problems of their translation. A translation analyses is made to find peculiarities in terms interpretation on the internet. In English, as well as in Russian, the vocabulary is characterized by a variety of multicomponent terms. Most often, economic terms of the English language are derived phrases formed according to the morphological method, which present difficulties in translation and require various transformations.

scholarly journals MULTIMAP: Multilingual picture naming test for mapping eloquent areas during awake surgeries

2020 ◽  
Author(s):  
Sandra Gisbert-Muñoz ◽  
Ileana Quiñones ◽  
Lucia Amoruso ◽  
Polina Timofeeva ◽  
Shuang Geng ◽  
...  
Keyword(s):  
Picture Naming ◽  
Color Image ◽  
Brain Surgery ◽  
Linguistic Features ◽  
Language Mapping ◽  
Eloquent Areas ◽  
Direct Cross ◽  
Cross Language ◽  
Naming Tasks ◽  
Naming Test

AbstractPicture naming tasks are currently the gold standard for identifying and preserving language-related areas during awake brain surgery. With multilingual populations increasing worldwide, patients frequently need to be tested in more than one language. There is still no reliable testing instrument, as the available batteries have been developed for specific languages. Heterogeneity in the selection criteria for stimuli leads to differences, for example, in the size, color, image quality, and even names associated with pictures, making direct cross-linguistic comparisons difficult. Here we present MULTIMAP, a new multilingual picture naming test for mapping eloquent areas during awake brain surgery. Recognizing that the distinction between nouns and verbs is necessary for detailed and precise language mapping, MULTIMAP consists of a database of 218 standardized color pictures representing both objects and actions. These images have been tested for name agreement with speakers of Spanish, Basque, Catalan, Italian, French, English, Mandarin Chinese, and Arabic, and have been controlled for relevant linguistic features in cross-language combinations. The MULTIMAP test for objects and verbs represents an alternative to the DO 80 monolingual pictorial set currently used in language mapping, providing an open-source, standardized set of up-to-date pictures, where relevant linguistic variables across several languages have been taken into account in picture creation and selection.

scholarly journals PARALLEL MINING OF LARGE MAXIMAL BICLIQUES USING ORDER PRESERVING GENERATORS

2014 ◽  
pp. 105-113 ◽  
Author(s):  
R. V. Nataraj ◽  
S. Selvan
Keyword(s):  
Parallel Algorithm ◽  
Optimization Techniques ◽  
Main Memory ◽  
Memory Consumption ◽  
Running Time ◽  
Mining Algorithm ◽  
Parallel Mining ◽  
Mining Algorithms ◽  
Symmetric Property ◽  
Memory Efficient

In this paper, we propose a parallel algorithm for mining large maximal bicliques from graph datasets. We propose POP-MBC (Parallel Order Preserving Maximal BiClique mining algorithm), a fast and memory efficient parallel algorithm, which enumerates all the maximal bicliques independently and concurrently across several processors without any synchronization between the processors. The POP-MBC algorithm is highly memory efficient since it does not store the previously computed patterns in the main memory and requires only the dataset to be stored in the memory. To enhance the load sharing among different nodes, POP-MBC uses a round robin strategy which enables to achieve load balancing as high as 90%. We have also incorporated bit-vectors and numerous optimization techniques exploiting the symmetric property of the graph dataset to reduce the memory consumption and overall running time of the algorithm. Our comp rehensive experimental analyses involving publicly available datasets show that our algorithm distributes the load among the different processors equally and takes less memory, less running time than other maximal biclique mining algorithms.

scholarly journals Data Acquisition and Mining Algorithm of Car Networking under Big Data Background

2019 ◽  
Vol 15 (01) ◽  
pp. 4
Author(s):  
Guohua Xiong
Keyword(s):  
Big Data ◽  
Data Acquisition ◽  
Road Traffic ◽  
Traffic Information ◽  
Traffic Conditions ◽  
Real Time Traffic ◽  
Mining Algorithm ◽  
Mining Algorithms ◽  
Traffic Information Collection ◽  
Networking Technology

In order to solve the problem of traffic jams, intelligent traffic technology and car networking technology were applied. In the context of big data, data acquisition and mining algorithms for vehicular network were studied. First, the overall architecture of the system was introduced. Then, the data acquisition technology based on the car network and the data mining technology based on the cloud plat-form were introduced. Finally, simulation experiments of real-time traffic information collection and recognition algorithms were performed. The results showed that the proposed mining algorithm had better data repair effect and better clustering effect, and the probability of misjudgment was smaller. Therefore, the algorithm can obtain accurate road traffic conditions.

scholarly journals MULTIMAP: Multilingual picture naming test for mapping eloquent areas during awake surgeries

2020 ◽  
Author(s):  
Sandra Gisbert-Muñoz ◽  
Ileana Quiñones ◽  
Lucia Amoruso ◽  
Polina Timofeeva ◽  
Shuang Geng ◽  
...  
Keyword(s):  
Picture Naming ◽  
Color Image ◽  
Brain Surgery ◽  
Linguistic Features ◽  
Language Mapping ◽  
Eloquent Areas ◽  
Direct Cross ◽  
Cross Language ◽  
Naming Tasks ◽  
Naming Test

Abstract Picture naming tasks are currently the gold standard for identifying and preserving language-related areas during awake brain surgery. With multilingual populations increasing worldwide, patients frequently need to be tested in more than one language. There is still no reliable testing instrument, as the available batteries have been developed for specific languages. Heterogeneity in the selection criteria for stimuli leads to differences, for example, in the size, color, image quality, and even names associated with pictures, making direct cross-linguistic comparisons difficult. Here we present MULTIMAP, a new multilingual picture naming test for mapping eloquent areas during awake brain surgery. Recognizing that the distinction between nouns and verbs is necessary for detailed and precise language mapping, MULTIMAP consists of a database of 218 standardized color pictures representing both objects and actions. These images have been tested for name agreement with speakers of Spanish, Basque, Catalan, Italian, French, English, German, Mandarin Chinese, and Arabic, and have been controlled for relevant linguistic features in cross-language combinations. The MULTIMAP test for objects and verbs represents an alternative to the Oral Denomination 80 (DO 80) monolingual pictorial set currently used in language mapping, providing an open-source, standardized set of up-to-date pictures, where relevant linguistic variables across several languages have been taken into account in picture creation and selection.

Sign in / Sign up

Export Citation Format

Share Document