Correction to: Person re-identification by the symmetric triplet and identification loss function

We present TISC, a multilingual, language-independent and context-sensitive spelling checking and correction system designed to facilitate the automatic removal of non-word spelling errors in large corpora. Its lexicon is derived from raw text corpora, ...

This paper explores the use of a character segment based character correction model, language modeling, and shallow morphology for Arabic OCR error correction. Experimentation shows that character segment based correction is superior to single character ...

HighlightsWe propose two methods to automatically correct Hungarian clinical text.Method 1 generates a ranked list of correction candidates disregarding context.Method 2 uses an SMT decoder to implement context-aware error correction.Method 1 is ...