Methods › General › Rule-based systems › WFST

weighted finite state transducer

WFST

7 papers tagged archive 2025-07-28

Introduced by Yang Zhang et al. in NeMo Inverse Text Normalization: From Development To Production

archive 2025-07-28 Description, source and code snippet are the archive's method entry.

The archive carries no description for this method.

PaperSource

Papers archive 2025-07-28

7 shown of 7, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.

Tasks archive 2025-07-28

8 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.

TaskPapers
Automatic Speech Recognition6
Speech Recognition6
speech-recognition6
Automatic Speech Recognition (ASR)5
Text Normalization3
Language Modeling1
Language Modelling1
TAG1

Usage over time archive 2025-07-28

Papers per year tagged with WFST: 2021 to 2025, peak 3 3 0 2021: 3 papers 2021 2022: 2 papers 2022 2023: 1 paper 2023 2024: 0 papers 2024 2025: 1 paper 2025
Papers per year the archive tags with this method, by the paper's archive date (7 dated). Bars are counts, not a trend claim.

Components: the archive holds no method-to-method composition, so PwC's Components table cannot be rebuilt; the Papers list carries no Results column for the same reason (the archive does not join its leaderboard rows to method tags).

Categories archive 2025-07-28

Rule-based systems

Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections