Application of Quantum Natural Language Processing for Language Translation
In this paper, we develop compositional vector-based semantics of positive transitive sentences using quantum natural language processing (Q-NLP) to compare the parametrized quantum circuits of two synonymous simple sentences in English and Persian. We propose a protocol based on quantum long short-...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2021-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9525075/ |
| _version_ | 1818436583026589696 |
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| author | Mina Abbaszade Vahid Salari Seyed Shahin Mousavi Mariam Zomorodi Xujuan Zhou |
| author_facet | Mina Abbaszade Vahid Salari Seyed Shahin Mousavi Mariam Zomorodi Xujuan Zhou |
| author_sort | Mina Abbaszade |
| collection | DOAJ |
| description | In this paper, we develop compositional vector-based semantics of positive transitive sentences using quantum natural language processing (Q-NLP) to compare the parametrized quantum circuits of two synonymous simple sentences in English and Persian. We propose a protocol based on quantum long short-term memory (Q-LSTM) for Q-NLP to perform various tasks in general but specifically for translating a sentence from English to Persian. Then, we generalize our method to use quantum circuits of sentences as an input for the Q-LSTM cell. This enables us to translate sentences in different languages. Our work paves the way toward representing quantum neural machine translation, which may demonstrate quadratic speedup and converge faster or reaches a better accuracy over classical methods. |
| first_indexed | 2024-12-14T17:11:05Z |
| format | Article |
| id | doaj.art-a0551546062744f6ab06f46ded481639 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-14T17:11:05Z |
| publishDate | 2021-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-a0551546062744f6ab06f46ded4816392022-12-21T22:53:34ZengIEEEIEEE Access2169-35362021-01-01913043413044810.1109/ACCESS.2021.31087689525075Application of Quantum Natural Language Processing for Language TranslationMina Abbaszade0Vahid Salari1Seyed Shahin Mousavi2Mariam Zomorodi3Xujuan Zhou4https://orcid.org/0000-0002-1736-739XDepartment of Physics, Isfahan University of Technology, Isfahan, IranBasque Center for Applied Mathematics (BCAM), Bilbao, SpainDepartment of Pure Mathematics, Shahid Bahonar University of Kerman, Kerman, IranDepartment of Computer Engineering, Ferdowsi University of Mashhad, Mashhad, IranSchool of Business, University of Southern Queensland, Springfield Campus, Springfield Central, QLD, AustraliaIn this paper, we develop compositional vector-based semantics of positive transitive sentences using quantum natural language processing (Q-NLP) to compare the parametrized quantum circuits of two synonymous simple sentences in English and Persian. We propose a protocol based on quantum long short-term memory (Q-LSTM) for Q-NLP to perform various tasks in general but specifically for translating a sentence from English to Persian. Then, we generalize our method to use quantum circuits of sentences as an input for the Q-LSTM cell. This enables us to translate sentences in different languages. Our work paves the way toward representing quantum neural machine translation, which may demonstrate quadratic speedup and converge faster or reaches a better accuracy over classical methods.https://ieeexplore.ieee.org/document/9525075/Q-NLPDisCoCat diagramsZX-calculusquantum circuitsQ-LSTM |
| spellingShingle | Mina Abbaszade Vahid Salari Seyed Shahin Mousavi Mariam Zomorodi Xujuan Zhou Application of Quantum Natural Language Processing for Language Translation IEEE Access Q-NLP DisCoCat diagrams ZX-calculus quantum circuits Q-LSTM |
| title | Application of Quantum Natural Language Processing for Language Translation |
| title_full | Application of Quantum Natural Language Processing for Language Translation |
| title_fullStr | Application of Quantum Natural Language Processing for Language Translation |
| title_full_unstemmed | Application of Quantum Natural Language Processing for Language Translation |
| title_short | Application of Quantum Natural Language Processing for Language Translation |
| title_sort | application of quantum natural language processing for language translation |
| topic | Q-NLP DisCoCat diagrams ZX-calculus quantum circuits Q-LSTM |
| url | https://ieeexplore.ieee.org/document/9525075/ |
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