other,11-3-C90-3072,bq This approach is sufficient for languages with little <term> inflection </term> such as <term> English </term> , but fails for <term> highly inflective languages </term> such as <term> Czech </term> , <term> Russian </term> , <term> Slovak </term> or other <term> Slavonic languages </term> .
other,21-3-C90-3072,bq This approach is sufficient for languages with little <term> inflection </term> such as <term> English </term> , but fails for <term> highly inflective languages </term> such as <term> Czech </term> , <term> Russian </term> , <term> Slovak </term> or other <term> Slavonic languages </term> .
other,23-3-C90-3072,bq This approach is sufficient for languages with little <term> inflection </term> such as <term> English </term> , but fails for <term> highly inflective languages </term> such as <term> Czech </term> , <term> Russian </term> , <term> Slovak </term> or other <term> Slavonic languages </term> .
other,27-5-C90-3072,bq The speed of the resulting program lies somewhere in the middle of the scale of existing <term> spelling-checkers </term> for <term> English </term> and the main <term> dictionary </term> fits into the standard <term> 360K floppy </term> , whereas the number of recognized <term> word forms </term> exceeds 6 million ( for <term> Czech </term> ) .
tech,8-1-C90-3072,bq <term> Spelling-checkers </term> have become an integral part of most <term> text processing software </term> .
lr,21-2-C90-3072,bq From different reasons among which the speed of processing prevails they are usually based on <term> dictionaries of word forms </term> instead of <term> words </term> .
tech,10-6-C90-3072,bq Further , a special method has been developed for easy <term> word classification </term> .
other,28-3-C90-3072,bq This approach is sufficient for languages with little <term> inflection </term> such as <term> English </term> , but fails for <term> highly inflective languages </term> such as <term> Czech </term> , <term> Russian </term> , <term> Slovak </term> or other <term> Slavonic languages </term> .
other,42-5-C90-3072,bq The speed of the resulting program lies somewhere in the middle of the scale of existing <term> spelling-checkers </term> for <term> English </term> and the main <term> dictionary </term> fits into the standard <term> 360K floppy </term> , whereas the number of recognized <term> word forms </term> exceeds 6 million ( for <term> Czech </term> ) .
other,18-5-C90-3072,bq The speed of the resulting program lies somewhere in the middle of the scale of existing <term> spelling-checkers </term> for <term> English </term> and the main <term> dictionary </term> fits into the standard <term> 360K floppy </term> , whereas the number of recognized <term> word forms </term> exceeds 6 million ( for <term> Czech </term> ) .
other,35-5-C90-3072,bq The speed of the resulting program lies somewhere in the middle of the scale of existing <term> spelling-checkers </term> for <term> English </term> and the main <term> dictionary </term> fits into the standard <term> 360K floppy </term> , whereas the number of recognized <term> word forms </term> exceeds 6 million ( for <term> Czech </term> ) .
lr,22-5-C90-3072,bq The speed of the resulting program lies somewhere in the middle of the scale of existing <term> spelling-checkers </term> for <term> English </term> and the main <term> dictionary </term> fits into the standard <term> 360K floppy </term> , whereas the number of recognized <term> word forms </term> exceeds 6 million ( for <term> Czech </term> ) .
tech,16-5-C90-3072,bq The speed of the resulting program lies somewhere in the middle of the scale of existing <term> spelling-checkers </term> for <term> English </term> and the main <term> dictionary </term> fits into the standard <term> 360K floppy </term> , whereas the number of recognized <term> word forms </term> exceeds 6 million ( for <term> Czech </term> ) .
tech,14-4-C90-3072,bq We have developed a special method for describing <term> inflection </term> for the purpose of building <term> spelling-checkers </term> for such languages .
other,8-4-C90-3072,bq We have developed a special method for describing <term> inflection </term> for the purpose of building <term> spelling-checkers </term> for such languages .
tech,0-1-C90-3072,bq The results of the experiment show that in most of the cases the <term> cooccurrence statistics </term> indeed reflect the <term> semantic constraints </term> and thus provide a basis for a useful <term> disambiguation tool </term> . <term> Spelling-checkers </term> have become an integral part of most <term> text processing software </term> .
lr,15-2-C90-3072,bq From different reasons among which the speed of processing prevails they are usually based on <term> dictionaries of word forms </term> instead of <term> words </term> .
other,25-3-C90-3072,bq This approach is sufficient for languages with little <term> inflection </term> such as <term> English </term> , but fails for <term> highly inflective languages </term> such as <term> Czech </term> , <term> Russian </term> , <term> Slovak </term> or other <term> Slavonic languages </term> .
other,16-3-C90-3072,bq This approach is sufficient for languages with little <term> inflection </term> such as <term> English </term> , but fails for <term> highly inflective languages </term> such as <term> Czech </term> , <term> Russian </term> , <term> Slovak </term> or other <term> Slavonic languages </term> .
other,8-3-C90-3072,bq This approach is sufficient for languages with little <term> inflection </term> such as <term> English </term> , but fails for <term> highly inflective languages </term> such as <term> Czech </term> , <term> Russian </term> , <term> Slovak </term> or other <term> Slavonic languages </term> .
hide detail