Using Artificial Intelligence in Learning English as a Foreign Language: an Examination of IELTS LIULISHUO as an Online Platform

Li, Ruolin

doi:10.32629/jher.v1i2.178

Cited by 15 publications

(15 citation statements)

References 6 publications

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“…The most effective and widely used neural network language translation models are GRU attention, recurrent neural network (RNN), long short-term memory (LSTM) neural network, etc. They have been widely used in the field of English machine translation [ 3 ]. Most mathematicians at home and abroad have analyzed English machine translation through neural networks with different structures, and then completed intelligent standardized English machine translation [ 4 ].…”

Section: Introductionmentioning

confidence: 99%

Application of LSTM Neural Network Technology Embedded in English Intelligent Translation

Yang

2022

Computational Intelligence and Neuroscience

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With the rapid development of computer technology, the loss of long-distance information in the transmission process is a prominent problem faced by English machine translation. The self-attention mechanism is combined with convolutional neural network (CNN) and long-term and short-term memory network (LSTM). An English intelligent translation model based on LSTM-SA is proposed, and the performance of this model is compared with other deep neural network models. The study adds SA to the LSTM neural network model and constructs the English translation model of LSTM-SA attention embedding. Compared with other deep learning algorithms such as 3RNN and GRU, the LSTM-SA neural network algorithm has faster convergence speed and lower loss value, and the loss value is finally stable at about 8.6. Under the three values of adaptability, the accuracy of LSTM-SA neural network structure is higher than that of LSTM, and when the adaptability is 1, the accuracy of LSTM-SA neural network improved the fastest, with an accuracy of nearly 20%. Compared with other deep learning algorithms, the LSTM-SA neural network algorithm has a better translation level map under the three hidden layers. The proposed LSTM-SA model can better carry out English intelligent translation, enhance the representation of source language context information, and improve the performance and quality of English machine translation model.

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Section: Introductionmentioning

confidence: 99%

Application of LSTM Neural Network Technology Embedded in English Intelligent Translation

Yang

2022

Computational Intelligence and Neuroscience

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“…Teaching the English Language Concerning Artificial Intelligence AI-enabled tools are a branch of computer-assisted language learning for learning foreign languages. A wide range of advancements in foreign language instruction is made possible by AI thanks to the exponential growth of technology for extensive data management and natural language processing (Li, 2020). English language instruction aims to increase students' ability to engage with people from other countries (Mukhallafi, 2020).…”

Section: Findings and Discussionmentioning

confidence: 99%

The Role of Artificial Intelligence Technology on English Language Learning: A Literature Review

2023

CJLLS

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The word (AI) stands for artificial intelligence, a computer-based simulation of human intelligence meant to act like humans. AI is one of the driving forces behind the 4.0 industrial revolution, making teaching and learning more accessible in schools. This study aims to understand the function of AI in ELT and examine AI technologies in ELT. This is a library research project. The findings indicate that AI provides a positive learning environment for learning English. Depending on the learner's current level of English, career needs, or hobbies, it has much potential to create a customized environment where students can simultaneously use their senses to learn English. AI boosts practical abilities like writing and offers a trustworthy simulation dialogue platform like spoken English. It maximizes the teaching impact of English in ELT while increasing students' practice ability. With the advancement of technology and platforms, learning English has gotten simpler. Artificial intelligence technology provides the chance to enhance English linguistic competence. Students may comprehend English more quickly because many different learning technologies are available. Students get access to a wide variety of ELT apps that are built on AI technology. These technologies include Google Translate, Text to Speech (TTS), EnglishAble, Orai, Elsa, Chatbot, Duolingo, Neo platforms, and many others. Using a method that computers and mobile devices can use, these intelligent machines can mimic intelligence and make decisions as people do.

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“…A subclass of technologies that employ artificial intelligence is used in computer-assisted language acquisition. The rapid advancement of big data management and natural language processing technology has made AI a substantial improvement in the teaching of foreign languages (Li, 2020). Every ESL student in the classroom will receive a customized lesson plan created by AI using the knowledge domain.…”

Section: Inception Of Artificial Intelligence In Esl Learningmentioning

confidence: 99%

Investigating ESL Learners’ Perception and Problem towards Artificial Intelligence (AI) -Assisted English Language Learning and Teaching

Moulieswaran

2023

WJEL

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The contemporary language learning strategy, Artificial Intelligence (AI) Assisted Language Learning (AI-ALL), incorporates AI-powered applications to support learners' learning activities. Many scholars have been experimenting with AI applications concerning activities relevant to education. The major objectives of this study are 1) The ESL learners' perspectives concerning AI-assisted English language learning and teaching; 2). ESL learners’ problems concerning artificial AI-assisted English language learning and teaching. The present investigation employed a quantitative methodology utilizing survey instruments to accumulate distinct information from 81 engineering stream students including essential primary research objects. A survey with a 5-point Likert Scale was administered to collect the data. According to the study, most of the students had favorable perceptions toward using AI-powered tools, particularly while learning English. The major problem is the lack of quality in AI-powered language-learning apps on smartphones. However, it is envisaged that AI-powered apps in language learning would be deployed as one of the instructional media that might help learners learn English as a Second Language efficiently. The present study recommends further research to investigate thoroughly how experienced language instructors use AI-powered applications in their classrooms to build best practices for utilizing AI in teaching and learning in ESL environments.

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Using Artificial Intelligence in Learning English as a Foreign Language: an Examination of IELTS LIULISHUO as an Online Platform

Cited by 15 publications

References 6 publications

Application of LSTM Neural Network Technology Embedded in English Intelligent Translation

Application of LSTM Neural Network Technology Embedded in English Intelligent Translation

The Role of Artificial Intelligence Technology on English Language Learning: A Literature Review

Investigating ESL Learners’ Perception and Problem towards Artificial Intelligence (AI) -Assisted English Language Learning and Teaching

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