[Submitted on 13 Sep 2026]
Title:SignTrace: Describe a Sign, Find the Word
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Abstract:Identifying an unfamiliar sign is difficult when a learner remembers its movement but does not know its meaning or formal feature codes. SignTrace addresses this longstanding reverse-lookup problem through natural-language access to a Chinese sign-language dictionary. The system integrates LLM-based dictionary enrichment, action extraction, dictionary-style rewriting, seven-channel retrieval, and candidate reranking over 6,699 entries. It has been deployed for user trials and has received positive informal feedback. Evaluation on a dictionary-derived benchmark of 500 movement-description queries yields 94.0% Hit@1, 97.4% Hit@9, and a mean reciprocal rank of 0.9540. Reranking increases Hit@1 from 71.8% to 94.0%, while component analyses show the contribution of enriched entry descriptions. Median query-processing time is 13.37 seconds with six concurrent queries. By connecting everyday movement descriptions to documented signs and meanings, SignTrace provides a practical tool for identifying unfamiliar signs. Dictionary-derived wording and prior selection within the benchmark limit generalization to descriptions independently produced by users.
Comments: Includes reproducibility data and method documentation
Subjects:
Computation and Language (cs.CL); Artificial Intelligence (cs.AI); Information Retrieval (cs.IR)
Cite as: arXiv:2609.30295 [cs.CL]
(or arXiv:2609.30295v1 [cs.CL] for this version)
https://doi.org/10.48550/arXiv.2609.30295
arXiv-issued DOI via DataCite
Submission history
From: Zengji Tu [view email] [v1] Sun, 13 Sep 2026 14:44:14 UTC (203 KB)
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Ancillary files (details):
README.md
analyze.py
api_summary.json
computed_results.json
dataset_identity.json
example_records.json
figure_labels_zh.json
make_figures.py
method_diagnostics.json
methods/README.md
methods/annotation_provenance.json
methods/extraction_prompt.py
methods/method_manifest.json
methods/prompt_templates.json
methods/rerank_prompt.py
methods/retrieval_rules.py
methods/rewrite_prompt.py
questions500.json
ranks500.csv
recompute_metrics.py
requirements.txt
schema_manifest.json
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