AI RESEARCH
Semantic Error Correction and Decoding for Short Block Channel Codes
arXiv CS.AI
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ArXi:2604.22269v1 Announce Type: cross This paper presents a semantic-enhanced receiver framework for transmitting natural language sentences over noisy wireless channels using multiple short block codes. After ASCII encoding, the sentence is divided into segments, each independently encoded with a short block code and transmitted over an AWGN channel. At the receiver, segments are decoded in parallel, followed by a semantic error correction (SEC) model, which reconstructs corrupted segments using language model context.