arXiv：cs.CL· Naman Srivastava, Gaurang Belekar, Gautami Sanjay Naik, Sunil Saumya, Aswath Babu H·· 3 小时前
为印地语启用量子自然语言处理（QNLP）
Enabling Quantum Natural Language Processing for Hindi Language
AI 导读
研究者提出将量子自然语言处理（QNLP）方法扩展到印地语，这是南亚使用人数第三多的语言。团队利用印地语的前群表示与 DisCoCat 框架绘制句子图，再基于瞬时量子多项式（IQP）风格的拟设将其转化为参数化量子电路，用于训练印地语的语法与主题感知句子分类器。
正文
Abstract:Quantum Natural Language Processing (QNLP) is taking huge leaps in solving the shortcomings of classical Natural Language Processing (NLP) techniques and moving towards a more "Explainable" NLP system. The current literature around QNLP focuses primarily on implementing QNLP techniques in sentences in the English language. In this paper, we propose to enable the QNLP approach to HINDI, which is the third most spoken language in South Asia. We present the process of building the parameterized quantum circuits required to undertake QNLP on Hindi sentences. We use the pregroup representation of Hindi and the DisCoCat framework to draw sentence diagrams. Later, we translate these diagrams to Parameterised Quantum Circuits based on Instantaneous Quantum Polynomial (IQP) style ansatz. Using these parameterized quantum circuits allows one to train grammar and topic-aware sentence classifiers for the Hindi Language.
| Comments: | 7 Pages |
| Subjects: | Computation and Language (cs.CL) |
| Cite as: | arXiv:2312.01221 [cs.CL] |
| (or arXiv:2312.01221v2 [cs.CL] for this version) | |
| https://doi.org/10.48550/arXiv.2312.01221 arXiv-issued DOI via DataCite |
Submission history
From: Aswath Babu H [view email]
[v1]
Sat, 2 Dec 2023 20:19:11 UTC (284 KB)
[v2]
Thu, 8 Oct 2026 09:39:28 UTC (298 KB)
来源：arXiv：cs.CL · arxiv.org