Name
Abstract | ||
|---|---|---|
Contextual spelling errors are defined as the use of an incorrect, though valid, word in a particular sentence or context. Traditional spelling checkers flag misspelled words, but they do not typically attempt to identify words that are used incorrectly in a sentence. We explore the use of Latent Semantic Analysis for correcting these incorrectly used words and the results are compared to earlier work based on a Bayesian classifier. |
Year | DOI | Venue |
|---|---|---|
1997 | 10.3115/974557.974582 | ANLP |
Keywords | Field | DocType |
misspelled word,bayesian classifier,contextual spelling error,latent semantic analysis,contextual spelling correction,traditional spelling checkers flag,particular sentence | Naive Bayes classifier,Computer science,Speech recognition,Artificial intelligence,Probabilistic latent semantic analysis,Spelling,Natural language processing,Latent semantic analysis,Sentence | Conference |
Citations | PageRank | References |
34 | 8.71 | 11 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Michael P Jones | 1 | 59 | 16.49 |
| James H. Martin | 2 | 1251 | 115.96 |