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A Python framework for constructing, deploying, and analyzing large-scale linguistic judgment experiments with active learning.
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## Overview
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`bead` implements a complete pipeline for linguistic research: from lexical resource construction through experimental deployment to model training with active learning. It handles the combinatorial explosion of linguistic stimuli while maintaining full provenance tracking.
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