Negative filter
disambiguated, morphological, analysis 15
(480.2 per million)
tool,0-1-A97-1020,ak
size of
<term>
training corpus
</term>
.
<term>
GLOSSER
</term>
is designed to support reading and
#28257We will also discuss the relationship between parsing accuracy and the size of training corpus.GLOSSER is designed to support reading and learning to read in a foreign language.
other,12-1-A97-1020,ak
reading and learning to read in a
<term>
foreign language
</term>
. There are four
<term>
language pairs
#28269GLOSSER is designed to support reading and learning to read in aforeign language.
other,3-2-A97-1020,ak
foreign language
</term>
. There are four
<term>
language pairs
</term>
currently supported by
<term>
GLOSSER
#28275There are fourlanguage pairs currently supported by GLOSSER: English-Bulgarian, English-Estonian, English-Hungarian and French-Dutch.
#28286There are four language pairs currently supported by GLOSSER: English-Bulgarian, English-Estonian,English-Hungarian and French-Dutch.
other,16-2-A97-1020,ak
,
<term>
English-Hungarian
</term>
and
<term>
French-Dutch
</term>
. The program is operational on
<term>
#28288There are four language pairs currently supported by GLOSSER: English-Bulgarian, English-Estonian, English-Hungarian andFrench-Dutch.
other,5-3-A97-1020,ak
</term>
. The program is operational on
<term>
UNIX and Windows '95 platforms
</term>
, and has undergone a
<term>
pilot
#28295The program is operational onUNIX and Windows '95 platforms, and has undergone a pilot user-study.
other,15-3-A97-1020,ak
platforms
</term>
, and has undergone a
<term>
pilot user-study
</term>
. A demonstration ( in
<term>
UNIX
</term>
#28305The program is operational on UNIX and Windows '95 platforms, and has undergone apilot user-study.
other,4-4-A97-1020,ak
user-study
</term>
. A demonstration ( in
<term>
UNIX
</term>
) for
<term>
Applied Natural Language
#28312A demonstration (inUNIX) for Applied Natural Language Processing emphasizes components put to novel technical uses in intelligent computer-assisted morphological analysis (ICALL), including disambiguated morphological analysis and lemmatized indexing for an aligned bilingual corpus of word examples.
tech,7-4-A97-1020,ak
demonstration ( in
<term>
UNIX
</term>
) for
<term>
Applied Natural Language Processing
</term>
emphasizes components put to novel
#28315A demonstration (in UNIX) forApplied Natural Language Processing emphasizes components put to novel technical uses in intelligent computer-assisted morphological analysis (ICALL), including disambiguated morphological analysis and lemmatized indexing for an aligned bilingual corpus of word examples.
</term>
, including
<term>
disambiguated morphological
#28327A demonstration (in UNIX) for Applied Natural Language Processing emphasizes components put to novel technical uses inintelligent computer-assisted morphological analysis ( ICALL ), including disambiguated morphological analysis and lemmatized indexing for an aligned bilingual corpus of word examples.
tech,32-4-A97-1020,ak
disambiguated morphological analysis
</term>
and
<term>
lemmatized indexing
</term>
for an
<term>
aligned bilingual corpus
#28340A demonstration (in UNIX) for Applied Natural Language Processing emphasizes components put to novel technical uses in intelligent computer-assisted morphological analysis (ICALL), including disambiguated morphological analysis andlemmatized indexing for an aligned bilingual corpus of word examples.
lr,36-4-A97-1020,ak
<term>
lemmatized indexing
</term>
for an
<term>
aligned bilingual corpus of word examples
</term>
. We focus on the problem of building
#28344A demonstration (in UNIX) for Applied Natural Language Processing emphasizes components put to novel technical uses in intelligent computer-assisted morphological analysis (ICALL), including disambiguated morphological analysis and lemmatized indexing for analigned bilingual corpus of word examples.