Article: Application of quantum optimisation osprey algorithm in English translation quality improvement model Journal: International Journal of Information and Communication Technology (IJICT) 2026 Vol.27 No.49 pp.1 - 18 Abstract: To address the shortcomings of neural machine translation in handling complex sentences and terminology, this paper proposes a translation quality improvement model based on the quantum-optimised osprey optimisation algorithm (QOOA). This model integrates quantum computing and metaheuristic algorithms, enhancing population diversity through qubit encoding, dynamically adjusting individual positions using a quantum rotation gate strategy to balance global exploration and local exploitation, and constructing a multi-objective fitness function that combines semantic similarity and syntactic complexity. Experiments on the WMT2018 English-Chinese dataset show that, compared to the baseline model, this method improves the BLEU score by 3.2 percentage points and reduces the TER by 12.7%, significantly reducing translation confusion. The results demonstrate that QOOA effectively improves translation quality, especially in long sentences and technical texts. Inderscience Publishers - linking academia, business and industry through research

Title: Application of quantum optimisation osprey algorithm in English translation quality improvement model

Authors: Ling Wang

Addresses: School of Management, Henan Institute of Technology, Xinxiang, 453003, China

Abstract: To address the shortcomings of neural machine translation in handling complex sentences and terminology, this paper proposes a translation quality improvement model based on the quantum-optimised osprey optimisation algorithm (QOOA). This model integrates quantum computing and metaheuristic algorithms, enhancing population diversity through qubit encoding, dynamically adjusting individual positions using a quantum rotation gate strategy to balance global exploration and local exploitation, and constructing a multi-objective fitness function that combines semantic similarity and syntactic complexity. Experiments on the WMT2018 English-Chinese dataset show that, compared to the baseline model, this method improves the BLEU score by 3.2 percentage points and reduces the TER by 12.7%, significantly reducing translation confusion. The results demonstrate that QOOA effectively improves translation quality, especially in long sentences and technical texts.

Keywords: quantum optimisation; osprey algorithm; machine translation; parameter optimisation; BLEU index; meta-heuristic algorithm.

DOI: 10.1504/IJICT.2026.153622

International Journal of Information and Communication Technology, 2026 Vol.27 No.49, pp.1 - 18

Received: 02 Sep 2025
Accepted: 06 Nov 2025
Published online: 18 May 2026 *

Title: Application of quantum optimisation osprey algorithm in English translation quality improvement model

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