Thesiss

In practice, most approaches for text error detection and correction are based on a conventional domain-dependent background dictionary that represents a fixed and static collection of correct words of a given language and, as a result, satisfactory correction can only be achiev…

Spelling correction is a well-established NLP application, but the quality for English spelling correction tends to be significantly higher than for other languages. One significant issue for minority languages in NLP is the availability of specialized corpora for various tasks.…