The network language user of a combination of communicator and receiver

2021 ◽  
pp. 39-53
Author(s):  
Zhou Yan
Keyword(s):  
Language User ◽  
Network Language

Determinants of English as language choice among Unaccompanied Migrant Children (UMC) in Makassar, Indonesia

2019 ◽  
Vol 2 (2) ◽  
pp. 1-7
Author(s):  
Andi Samsu Rijal ◽  
Andi Mega Januarti Putri
Keyword(s):  
Language Choice ◽  
Migrant Children ◽  
Immigrant Communities ◽  
The Public ◽  
International Language ◽  
Language User ◽  
Public Area ◽  
Better Than ◽  
Language Mastery

The essence of language is human activity. Communication with language is carried out through two basic human activities; speaking and listening during the interaction in a group of people. Immigrants in Makassar city communicate with immigrant communities and Makassar people. They used English and Indonesia to communicate with others. The aims of this article were to find out determinant factors of English as language choice among Unaccompanied Migrant Children (UMC) in Makassar and why they used English as their language choice to communicate with other people out of them. The data were taken from UMC in the shelter under the auspices of Makassar’s Social Office and in the public area of Makassar. This research was a qualitative approach; it was from a sociolinguistic perspective and focuses its analysis with the language choice among UMC. This research showed that most immigrants chose English as their language choice since they were in Makassar because they have acquired better than other international language and it has been mastered naturally by doing social interaction among themselves and people outside their community. UMC had more difficulties to socialize with Indonesian than the adult of Immigrants. Other than their lack of language mastery, they also have the anxiety to adapt to other immigrants and Makassar people. English was used by UMC to show their status as a foreigner who lived in a multicultural situation. Language becomes a power for a human being and it becomes a social identity for language user in one community. During the interaction of UMC in Makassar city, the role of English as an International language is shown.

The Research on English Autonomous Learning Monitoring Theory and Application in the Network Environment

2014 ◽  
Vol 644-650 ◽  
pp. 6079-6082
Author(s):  
Xiao Hua Chen
Keyword(s):  
Autonomous Learning ◽  
Global Network ◽  
English Learning ◽  
Late 20Th Century ◽  
Widespread Application ◽  
Network Culture ◽  
International Language ◽  
Training Institutions ◽  
Network Language ◽  
Learning Interest

Starting from the late 20th century, with the development of computer technology and the widespread application of the Internet, human has stepped into the age marked by digital and global network of the information. Network has been used widely, becoming increasingly prevalent in network communication, network language and network culture emerged, while the network English learning arises at the historic moment.The use of English as an international language, it has become an unprecedented prosperity. However, restricted to school classroom English learning or training institutions has been unable to meet people's needs, English autonomous learning outside the classroom eagerly on the agenda. Network creates the English autonomous learning is the most important virtual places, it focus on a large number of rich resources, which can stimulate the learning interest, and suitable for collaborative learning, and to larger extent realize the personalized learning, effectively promote English autonomous learning.

scholarly journals Efficient Embedded Decoding of Neural Network Language Models in a Machine Translation System

2018 ◽  
Vol 28 (09) ◽  
pp. 1850007
Author(s):  
Francisco Zamora-Martinez ◽  
Maria Jose Castro-Bleda
Keyword(s):  
Neural Network ◽  
Machine Translation ◽  
Language Processing ◽  
Traditional Approach ◽  
Computational Cost ◽  
Integrated Approach ◽  
Language Models ◽  
Translation System ◽  
Neural Net ◽  
Network Language

Neural Network Language Models (NNLMs) are a successful approach to Natural Language Processing tasks, such as Machine Translation. We introduce in this work a Statistical Machine Translation (SMT) system which fully integrates NNLMs in the decoding stage, breaking the traditional approach based on [Formula: see text]-best list rescoring. The neural net models (both language models (LMs) and translation models) are fully coupled in the decoding stage, allowing to more strongly influence the translation quality. Computational issues were solved by using a novel idea based on memorization and smoothing of the softmax constants to avoid their computation, which introduces a trade-off between LM quality and computational cost. These ideas were studied in a machine translation task with different combinations of neural networks used both as translation models and as target LMs, comparing phrase-based and [Formula: see text]-gram-based systems, showing that the integrated approach seems more promising for [Formula: see text]-gram-based systems, even with nonfull-quality NNLMs.

Semantic Network Language Generation based on a Semantic Networks Serialization Grammar

2010 ◽  
Vol 13 (3) ◽  
pp. 307-341 ◽  
Author(s):  
Yintang Dai ◽  
Shiyong Zhang ◽  
Jidong Chen ◽  
Tianyuan Chen ◽  
Wei Zhang
Keyword(s):  
Semantic Network ◽  
Semantic Networks ◽  
Language Generation ◽  
Network Language
Sign in / Sign up

Export Citation Format

Share Document