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cabocharc.in
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cabocharc.in
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#
# default cabocharc file
#
charset = @CHARSET@
# charset-file = @prefix@/lib/cabocha/model/charset-file.txt
posset = @POSSET@
# posset = IPA
# posset = JUMAN
# posset = UNIDIC
# Output Format
# 0 - tree
# 1 - lattice
output-format = 0
# Input Layer
# 0 - RAW sentence layer (MeCab only)
# 1 - POS tagged layer (default)
# 2 - POS tagged and Chunked layer
# 3 - POS tagged, Chunked and Feature selected layer
input-layer = 0
# Output Layer
# 1 - POS tagged layer (MeCab only)
# 2 - Chunked layer
# 3 - Chunked and Feature selected layer
# 4 - Parsed layer (default)
output-layer = 4
# Output NE
# 0 - no output
# 1 - output NE with Chunk Constraint
# 2 - output NE without Chunk Constraint
ne = 0
# Parser model file name
parser-model = @prefix@/lib/cabocha/model/dep.@[email protected]
# parser-model = @prefix@/lib/cabocha/model/dep.ipa.model
# parser-model = @prefix@/lib/cabocha/model/dep-tournament.ipa.model
# parser-model = @prefix@/lib/cabocha/model/dep.juman.model
# parser-model = @prefix@/lib/cabocha/model/dep-tournament.juman.model
# parser-model = @prefix@/lib/cabocha/model/dep.unidic.model
# parser-model = @prefix@/lib/cabocha/model/dep-tournament.unidic.model
# Chunker model file name
chunker-model = @prefix@/lib/cabocha/model/chunk.@[email protected]
# chunker-model = @prefix@/lib/cabocha/model/chunk.ipa.model
# chunker-model = @prefix@/lib/cabocha/model/chunk.juman.model
# chunker-model = @prefix@/lib/cabocha/model/chunk.unidic.model
# NE model file name
ne-model = @prefix@/lib/cabocha/model/ne.@[email protected]
# ne-model = @prefix@/lib/cabocha/model/ne.ipa.model
# ne-model = @prefix@/lib/cabocha/model/ne.juman.model
# ne-model = @prefix@/lib/cabocha/model/ne.unidic.model
# mecabrc
# mecabrc = somewhere/mecabrc