#20782The 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
#20790Spelling-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
#20809From 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
#20811From 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
#20815From 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>
#20822This 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
#20825This 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
#20828This 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
#20833This 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,23-3-C90-3072,ak
languages
</term>
such as
<term>
Czech
</term>
,
<term>
Russian
</term>
,
<term>
Slovak
</term>
or other
<term>
#20840This 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>
#20842This 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
#20845This 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>
#20856We 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
#20862We 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
#20865We 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
#20883The 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>
#20885The 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
#20889The 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
#20902The 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).
tech,10-6-C90-3072,ak
method has been developed for easy
<term>
word classification
</term>
. We describe the methods and hardware
#20922Further, a special method has been developed for easyword classification.