Abstract
Contextual spell correction is very important for real word error correction. It gives the correct word for an incorrect word in a particular sentence. The traditional spell checker can correct those misspelled words which are not present in dictionary but here we try to develop a spell checker which can give appropriate word on the basis of the contextual meaning of the sentence. This spell checker is specially applied for error correction in query-based text summarization. Here, we try to combine both semantic based measure and lexical character matching to find the appropriate word for a particular sentence.
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Rahman, N., Borah, B. (2017). Context Sensitive Query Correction Method for Query-Based Text Summarization. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2017. ICCSA 2017. Lecture Notes in Computer Science(), vol 10409. Springer, Cham. https://doi.org/10.1007/978-3-319-62407-5_2
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DOI: https://doi.org/10.1007/978-3-319-62407-5_2
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