The application of deep learning techniques can show a unique advantage in the field of English learning and play an important supporting role in students’ learning and teachers’ teaching. Its role in promoting the reform of English language teaching is explored in terms of writing, translation, listening, and speaking. Concerning the writing, includes deep learning for teaching English professional writing, where the application is mainly about English composition content criticism. The automatic correction system on the deep learning platform can analyze students’ English compositions very comprehensively, make basic judgments on the structure of students’ essays, make timely corrections to spelling errors and grammatical errors in students’ essays, and propose timely corrections. Teachers can also use the system’s automatic feedback mechanism to manually correct students’ essays for a second time and provide further feedback to students. At the same time, the teacher can also grasp the students’ learning situation according to the assessment report given by the system and implement reasonable curriculum improvement, which is important for the improvement of teaching methods and upgrading of the teaching system. For the role explored in the form of translation, we mention deep learning for teaching English professional translators, which made significant achievements and breakthroughs in the field of English translation and has achieved certain pedagogical results in teaching English translation. First, the use of deep learning-assisted translation systems for English translation can significantly optimize the basic process of English translation. This is especially important for students to be able to translate English proficiently in the future and to apply their learning. Secondly, the English translation software and platform based on cloud services can help students solve many difficult translation points, which can enhance students’ confidence to a certain extent and stimulate their interest in learning English at a deeper level. Finally, the translation tasks set by the intelligent cloud platform can use artificial intelligence to track each student’s translation and form evaluation reports, which can grasp the students’ translation characteristics and problems in a timely and accurate manner and realize personalized teaching guidance and improvement of teaching courses. In in-depth study of college English listening instruction, listening training is of great importance to the development of students’ English literacy. However, many students are resistant to listening to English due to the boring content of listening materials and the difficulty of listening. The deep learning language platform can provide students with a large amount of listening materials with a wide variety of difficulty and topics to meet the different needs of different students for English listening. In such an environment, not only can students choose the corresponding English learning materials according to their interests for in-depth learning, but also deep learning can automatically match students with suitable listening materials and learning contents through the analysis of their basic information. Finally, the assessment of spoken English for majors is an important aspect. The purpose of learning a language is to achieve better communication and exchange. Therefore, in the actual teaching process, it is necessary to strengthen students’ learning as well as mastery of spoken English to help them improve their English speaking skills. Deep learning has a great advantage in teaching English as a foreign language, as the English communication environment becomes more colorful because of educational robots, and real-time conversations help students to use English. Educational robots can be accompanied by students and interact with them to create a continuous and natural environment for using English, and this process can help students to improve their English speaking skills by relieving their nervousness when talking with real people.
Source: hindawi.com
WHAT IS DEEP LEARNING?
Deep learning is a form of machine learning that “can learn” representations from data itself rather than from programmed instructions. Deep learning can learn to represent very complex patterns on vast amounts of data in simple ways that can help humans and other systems do things faster and cheaper.
Deep learning can be used on a variety of data types including audio, video, text, images, radio waves and machine signals to create applications such as natural language processing, audio recognition, computer vision and target recognition. At scale, these applications can comb through massive amounts of data in real-time that would be impossible for a team of humans to process in a lifetime.
In all domains, deep learning technologies can help our customers complete their missions smarter.
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