Results of Survey of Doctors Who Have Undergone Thematic Advanced Training With the Help of Multidisciplinary Cycles

Sichkoriz, О. Ye.

doi:10.29254/2077-4214-2020-1-155-342-346

Cited by 1 publication

(2 citation statements)

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“…Sichkoriz. pointed out that in the teaching of interpretation at the postgraduate level, we should actively explore and focus on interpreting skills training, the special training teaching mode is supplemented by language ability improvement [5]. Han, T. discussed the current situation of college students participating in the national translation professional qualification (level) examination and analyzed some problems existing in the examination preparation process, as well as the experience and lessons in the examination process [6].…”

Section: Literature Reviewmentioning

confidence: 99%

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Automatic Scoring Model of Japanese Interpretation Based on Semantic Scoring

Wang

2022

Mathematical Problems in Engineering

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In order to improve the current level of Japanese teaching and the difficulty of non-standard Japanese spoken language, the author proposes a method for the study of the automatic scoring model of Japanese ants for scoring. The author introduces a semantic scoring model that integrates the long short-term memory neural network and self-attention mechanism, which can be applied to keyword scoring and sentence semantic scoring. The scoring principle of the model is as follows: firstly, extract the word and sentence features and represent them in a vectorized form, then use a bidirectional long short-term memory neural network to optimize the feature vector, and then use the self-attention mechanism to obtain the semantic features of the word or sentence. Finally, the semantic score is calculated by a simple neural network. Experiments show that compared with the semantic scoring model based on a stretchable recursive autoencoder that performs better in semantic scoring, the average correlation between this model and the original score is 0.444; the lowest rate of agreement with the original score is 95%; and the highest rate of agreement with adjacent ones is 74%. The automatic scoring model for Japanese interpreting with semantic scoring is proved to be practical and has excellent results.

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Section: Literature Reviewmentioning

confidence: 99%

“…In the third stage, the weight and the corresponding value are weighted and summed to obtain the final calculation result of attention, the calculation formula is shown in formula (5). In most natural language processing tasks key and value are the same, i.e., Key � Value.…”

Section: Application Of the Semantic Scoring Modelmentioning

confidence: 99%

Automatic Scoring Model of Japanese Interpretation Based on Semantic Scoring

Wang

2022

Mathematical Problems in Engineering

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show abstract

Results of Survey of Doctors Who Have Undergone Thematic Advanced Training With the Help of Multidisciplinary Cycles

Cited by 1 publication

References 2 publications

Automatic Scoring Model of Japanese Interpretation Based on Semantic Scoring

Automatic Scoring Model of Japanese Interpretation Based on Semantic Scoring

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