Quantum Natural Language Processing (QNLP) uses pregroup grammars to translate grammatical structure into diagrammatic representations and quantum circuits. Recent Hindi QNLP work has shown that Hindi-specific pregroup grammars can support grammar-sensitive compositional models, but grammatical type assignment is still largely manual, limiting scalability. This paper formulates automatic Hindi pregroup supertagging as a token-level classification task. Using a manually annotated corpus of 380 Hindi sentences, we evaluate lexical, contextual, prompting-based, lexical-repair, and suffix/morphology-aware methods. Results show that simple lexical and contextual models are strong in this low-resource setting: contextual backoff achieves the best completed accuracy of 64.56\%, while raw Qwen2.5 prompting reaches only 11.65\%. Lexical repair raises LLM-assisted prediction to 64.08\%, demonstrating the value of constraining generative outputs with symbolic grammar knowledge. Diagnostic analysis further shows that seen and unambiguous tokens are much easier than unseen tokens, and suffix/morphology features improve karaka-token accuracy but not overall performance. These results show that automatic Hindi pregroup assignment is feasible and can reduce reliance on manual annotation in future multilingual QNLP pipelines.
Gautami Sanjay Naik, Krish Bhatia, Mithun Paul Saint-Germain et al.· 0 citations
Building a functional website traditionally demands proficiency in HTML, CSS, and JavaScript, or costly subscriptions to no-code platforms. Sketchify addresses this barrier by providing a canvas-based wireframe drawing interface that converts hand-drawn sketches directly into production-ready HTML/CSS websites using Large Language Models (LLMs). A custom spatial layout interpreter processes drawn elements and classifies them into semantic web components such as navbars, hero sections, cards, and footers. The enriched layout descriptor is forwarded to the Groq API (Llama 4 Scout) to generate single-file HTML output styled in one of six design paradigms: Glassmorphism, Skeuomorphism, Neo Brutalism, Claymorphism, Minimalism, and Liquid Glass. The system further supports multi-page generation, a natural-language post-generation chat editor, a Supabase-backed project dashboard, voice-command input, and a template gallery. Acceptance testing confirmed successful website generation within five minutes of onboarding. Generation latency is under fifteen seconds at near-zero infrastructure cost. Benchmarking against Pix2Code and Sketch2Code confirms superior output quality and design flexibility without task-specific model training.
H. Babu, Densy John Vadakkan· 2026 7th International Confe...· 0 citations
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