| tech,0-1-C90-3072,ak | useful <term> disambiguation tool </term> . <term> | Spelling-checkers | </term> have become an integral part of most | #20782 The results of the experiment show that in most of the cases the cooccurrence statistics indeed reflect the semantic constraints and thus provide a basis for a useful disambiguation tool.Spelling-checkers have become an integral part of most text processing software. | |
| tech,8-1-C90-3072,ak | have become an integral part of most <term> | text processing software | </term> . From different reasons among which | #20790 Spelling-checkers have become an integral part of mosttext processing software. | |
| lr,15-2-C90-3072,ak | prevails they are usually based on <term> | dictionaries | </term> of <term> word forms </term> instead | #20809 From different reasons among which the speed of processing prevails they are usually based ondictionaries of word forms instead of words. | |
| other,17-2-C90-3072,ak | based on <term> dictionaries </term> of <term> | word forms | </term> instead of <term> words </term> . This | #20811 From different reasons among which the speed of processing prevails they are usually based on dictionaries ofword forms instead of words. | |
| other,21-2-C90-3072,ak | of <term> word forms </term> instead of <term> | words | </term> . This approach is sufficient for | #20815 From different reasons among which the speed of processing prevails they are usually based on dictionaries of word forms instead ofwords. | |
| other,5-3-C90-3072,ak | </term> . This approach is sufficient for <term> | languages | </term> with little <term> inflection </term> | #20822 This approach is sufficient forlanguages with little inflection such as English, but fails for highly inflective languages such as Czech, Russian, Slovak or other Slavonic languages. | |
| other,8-3-C90-3072,ak | for <term> languages </term> with little <term> | inflection | </term> such as <term> English </term> , but | #20825 This approach is sufficient for languages with littleinflection such as English, but fails for highly inflective languages such as Czech, Russian, Slovak or other Slavonic languages. | |
| other,11-3-C90-3072,ak | little <term> inflection </term> such as <term> | English | </term> , but fails for <term> highly inflective | #20828 This approach is sufficient for languages with little inflection such asEnglish, but fails for highly inflective languages such as Czech, Russian, Slovak or other Slavonic languages. | |
| other,16-3-C90-3072,ak | <term> English </term> , but fails for <term> | highly inflective languages | </term> such as <term> Czech </term> , <term> Russian | #20833 This approach is sufficient for languages with little inflection such as English, but fails forhighly inflective languages such as Czech, Russian, Slovak or other Slavonic languages. | |
| other,21-3-C90-3072,ak | inflective languages </term> such as <term> | Czech | </term> , <term> Russian </term> , <term> Slovak | #20838 This approach is sufficient for languages with little inflection such as English, but fails for highly inflective languages such asCzech, Russian, Slovak or other Slavonic languages. | |
| other,23-3-C90-3072,ak | languages </term> such as <term> Czech </term> , <term> | Russian | </term> , <term> Slovak </term> or other <term> | #20840 This approach is sufficient for languages with little inflection such as English, but fails for highly inflective languages such as Czech,Russian, Slovak or other Slavonic languages. | |
| other,25-3-C90-3072,ak | Czech </term> , <term> Russian </term> , <term> | Slovak | </term> or other <term> Slavonic languages </term> | #20842 This approach is sufficient for languages with little inflection such as English, but fails for highly inflective languages such as Czech, Russian,Slovak or other Slavonic languages. | |
| other,28-3-C90-3072,ak | </term> , <term> Slovak </term> or other <term> | Slavonic languages | </term> . We have developed a special method | #20845 This approach is sufficient for languages with little inflection such as English, but fails for highly inflective languages such as Czech, Russian, Slovak or otherSlavonic languages. | |
| other,8-4-C90-3072,ak | developed a special method for describing <term> | inflection | </term> for the purpose of building <term> | #20856 We have developed a special method for describinginflection for the purpose of building spelling-checkers for such languages. | |
| tech,14-4-C90-3072,ak | </term> for the purpose of building <term> | spelling-checkers | </term> for such <term> languages </term> . The | #20862 We have developed a special method for describing inflection for the purpose of buildingspelling-checkers for such languages. | |
| other,17-4-C90-3072,ak | <term> spelling-checkers </term> for such <term> | languages | </term> . The speed of the resulting program | #20865 We have developed a special method for describing inflection for the purpose of building spelling-checkers for suchlanguages. | |
| tech,16-5-C90-3072,ak | the middle of the scale of existing <term> | spelling-checkers | </term> for <term> English </term> and the main | #20883 The speed of the resulting program lies somewhere in the middle of the scale of existingspelling-checkers for English and the main dictionary fits into the standard 360K floppy, whereas the number of recognized word forms exceeds 6 million (for Czech). | |
| other,18-5-C90-3072,ak | existing <term> spelling-checkers </term> for <term> | English | </term> and the main <term> dictionary </term> | #20885 The speed of the resulting program lies somewhere in the middle of the scale of existing spelling-checkers forEnglish and the main dictionary fits into the standard 360K floppy, whereas the number of recognized word forms exceeds 6 million (for Czech). | |
| lr,22-5-C90-3072,ak | for <term> English </term> and the main <term> | dictionary | </term> fits into the standard 360K floppy | #20889 The speed of the resulting program lies somewhere in the middle of the scale of existing spelling-checkers for English and the maindictionary fits into the standard 360K floppy, whereas the number of recognized word forms exceeds 6 million (for Czech). | |
| other,35-5-C90-3072,ak | , whereas the number of recognized <term> | word forms | </term> exceeds 6 million ( for <term> Czech | #20902 The speed of the resulting program lies somewhere in the middle of the scale of existing spelling-checkers for English and the main dictionary fits into the standard 360K floppy, whereas the number of recognizedword forms exceeds 6 million (for Czech). |
