Quality-Based Ranking of Translation Outputs

Bharti, Nivedita; Joshi, Nisheeth; Mathur, Iti; Katyayan, Pragya

doi:10.1109/mitp.2020.2976009

Cited by 4 publications

(2 citation statements)

References 10 publications

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“…According to the machine translation features of semantic information [7], a semantic syntax tree [8] is constructed to realize machine translation of English articles. e specific steps are as follows:…”

Section: A Machine Translation Approach To English Text Based On Semantic Cognitive Featuresmentioning

confidence: 99%

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Automatic Calibration Algorithm for English Text Translation Based on Semantic Features

Liu

2021

Security and Communication Networks

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At present, the existing methods of English article flip calibration neglect to extract English semantic features, which leads to errors in English flip results and has a great impact on the accuracy and time consumption of translation sentence calibration. Therefore, a semantic feature-based automatic text flipping calibration algorithm is proposed. According to the features of semantic information in machine translation, a semantic grammar tree is constructed to complete the machine turning of English articles. The CART decision tree attribute is obtained, and the random forest method is introduced to extract the input matrix and output matrix of the corpus feature as samples to determine the spatial attribute feature of the mistranslated sentences. Choose 10000 English sentences about human body parts as the experimental object and design the simulation experiment. The experimental results show that the minimum and maximum accuracy rates are 95.4% and 100.0%, respectively. The proposed algorithm is time-consuming, and the KSMR value is lower than that of the traditional method. It is proved that the error rate of English article flipping is significantly reduced.

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Section: A Machine Translation Approach To English Text Based On Semantic Cognitive Featuresmentioning

confidence: 99%

“…In formula (7), u describes the original information of mistranslated statements contained in different feature distribution regions.…”

Section: Automatic Calibration Of Mistranslated Statements Based Onmentioning

confidence: 99%

Automatic Calibration Algorithm for English Text Translation Based on Semantic Features

Liu

2021

Security and Communication Networks

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Construction and Optimization of Bilingual Translation Corpus Based on GLR Algorithm

2023

2023 2nd International Conference on Artificial Intelligence and Autonomous Robot Systems (AIARS)

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An Automatic Assessment and Optimization Algorithm for English Translation Software Combining Deep Learning and Natural Language Processing

Lin

2024

2024 International Conference on Electrical Drives, Power Electronics &Amp;amp; Engineering (EDPEE)

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Quality-Based Ranking of Translation Outputs

Cited by 4 publications

References 10 publications

Automatic Calibration Algorithm for English Text Translation Based on Semantic Features

Automatic Calibration Algorithm for English Text Translation Based on Semantic Features

Construction and Optimization of Bilingual Translation Corpus Based on GLR Algorithm

An Automatic Assessment and Optimization Algorithm for English Translation Software Combining Deep Learning and Natural Language Processing

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