Overview over VISL's different CG systems, by language [to top]

Language
Parser
Lexicon
Analyzer
Grammar
Levels
Applications
DanGram
100.000 lexemes, 40.000 names
Full
8.400 rules
morph., syntax, dep., psg, sem. roles
Teaching, corpus annotation, MT, Spell/Grammar checker, QA-systems, NER
PALAVRAS
70.000 lexemes, 15.000 names
Full
7.500 rules
morph., syntax, dep., psg, sem. roles
Teaching, corpus annotation, MT, QA-systems, NER
HISPAL
73.000 lexemes
Full
4.900 rules
morph., syntax, dep., psg, sem. roles
Teaching, corpus annotation
EngGram
180.000 (incl. names, 81.000 val/sem)
Full
4.500 rules
morph./syntax, dep., psg
Teaching, corpus annotation, MT
SweGram
65.000 val/sem
Full
8.400 rules
morph./syntax, dep., psg
Teaching, corpus annotation, MT
NorGram
OBT / via DanGram
Full
OBT / via DanGram
morph./syntax, dep., psg
Teaching, corpus annotation, MT
FrAG
180.000 lexemes (incl. names)
Full
2.020 rules
morph.-correction, syntax, dep., psg
Teaching, corpus annotation
GerGram
232.000 (112.000 val/sem)
Full
1.940 rules
morph., syntax, dep., psg
Teaching, corpus annotation, MT
EspGram
32.000 lexemes (val/sem)
Full
2.600 rules
morph., syntax, dep.
Teaching, corpus annotation, MT
ItaGram
72.600 lexemes
Full
3.290 rules
morph., syntax, dep.
Teaching, corpus annotation
NedGram
58.800 lexemes
Full
1.960 rules
morph., syntax, dep.
Teaching, corpus annotation
NER=Named entity recognition, MT=Machine translation, OBT=Oslo-Bergen-tagger

Other established Constraint Grammars:

Apertium incubator CGs