string2string Studio: An Interactive, In-Browser Platform for String-to-String Algorithms 文章

ArXiv CS.CL2026-08-05PAPERen作者: Mirac Suzgun, James Zou, Stuart M. Shieber, Dan Jurafsky

详细信息

来源站点
ArXiv CS.CL
作者
Mirac Suzgun, James Zou, Stuart M. Shieber, Dan Jurafsky
文章类型
PAPER
语言
en
发布日期
2026-08-05

摘要

arXiv:2608.03984v1 Announce Type: new Abstract: We present string2string Studio, an interactive in-browser platform for string-to-string analysis across natural language processing, computational biology, and the digital humanities. The system integrates six main modules (alignment, distance, similarity, search, generation metrics, and BLAST homology search), operating at character, word, token, line, and residue levels. Its C++-based algorithms compile to WebAssembly, so core operations run locally by default without any installation or data upload. The interface reports scores with their "evidence" (alignments, edit paths, metric matches, search hits, and homology traces), making methods inspectable, debuggable, and comparable on shared inputs. Internal benchmarks show speedups of up to 2,500x over the Python predecessor, faster global/local alignment than a general-purpose native C aligner, and exact agreement with independent references under declared settings.

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