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The paper formulates automatic Hindi pregroup supertagging as a token-level classification task for quantum natural language processing, evaluating various methods on a low-resource corpus and showing that contextual backoff and lexical repair achieve accuracies around 64%, demonstrating feasibility for scalable multilingual QNLP pipelines.