engleski

Advantages of online spellchecking : a Croatian example

Online spellchecking is commonly regarded as an auxiliary way of performing spellchecking. However, it offers a unique opportunity to constantly improve spellchecker linguistic functionality through interaction with the community of spellchecker users. Such a possibility is crucial for spellchecking in non-central and under-resourced languages, in order to overcome gaps in NLP tools between them and central languages. The paper describes Hascheck, a Croatian online spellchecker able to learn words from texts it receives. It started as the first Croatian spellchecker, hence as a basic NLP tool for an under-resourced language, but due to its learning ability it demonstrates linguistic functionality comparable to that of conventional central-language spellcheckers. Based on these experiences we also discuss the future of online spellchecking in the context of global NLP tasks.

language corpus; spellchecker traffic; supervised learning; mathematical modeling of spellchecking parameters; Heaps' law; workload anticipation

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