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文件名称:acopost_note

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    2016-01-10
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    17.82mb
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acopost是Ingo Schroder于02年在德国汉堡大学完成的一个词性标注工具包。主要实现了基于实例、最大熵、2元隐马、基于转换规则等4种词性标注算法,以及评价和算法融合等。采用的语言是perl和c,代码比较短小,非常适于学习。-acopost Ingo Schroder is a speech in 2002 at the University of Hamburg, Germany marked the completion of the toolkit. The main achievement of tagging algorithms, as well as uation and fusion algorithm based on examples, maximum entropy, 2 yuan hidden horse, based on the conversion rules, four kinds of speech and so on. Language is used in perl and c, the code is relatively short, very suitable for learning.
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下载文件列表

acopost_note/
acopost_note/acopost-1.8.6.tar.gz
acopost_note/comment/
acopost_note/comment/array.c
acopost_note/comment/cooked2lex.pl
acopost_note/comment/cooked2ngram.pl
acopost_note/comment/cooked2wtree.pl
acopost_note/comment/et.c
acopost_note/comment/gis.c
acopost_note/comment/gis.h
acopost_note/comment/met.c
acopost_note/comment/t3.c
acopost_note/comment/tbt.c
acopost_note/comment/util.c
acopost_note/data/
acopost_note/data/cooked.txt
acopost_note/data/dict
acopost_note/data/et/
acopost_note/data/et/known.etf
acopost_note/data/et/known.wtree
acopost_note/data/et/res.et
acopost_note/data/et/unknown.etf
acopost_note/data/et/unknown.wtree
acopost_note/data/met/
acopost_note/data/met/model
acopost_note/data/met/res1
acopost_note/data/met/res2
acopost_note/data/pk9801.txt
acopost_note/data/raw.txt
acopost_note/data/t3/
acopost_note/data/t3/ngram.t3
acopost_note/data/t3/res.t3
acopost_note/data/t3/trans_pb.t3
acopost_note/data/tbt/
acopost_note/data/tbt/cooked_lex.txt
acopost_note/data/tbt/cooked_rul.txt
acopost_note/data/tbt/dict.tbt
acopost_note/data/tbt/res.tbt
acopost_note/data/tbt/rules.tbt
acopost_note/data/tbt/transitions.tbt.templates
acopost_note/data/tbt/unknown.tbt.templates
acopost_note/data/test
acopost_note/et.txt
acopost_note/met.txt
acopost_note/note_acopost.txt
acopost_note/README.txt
acopost_note/references/
acopost_note/references/(BR94)A rule-based approach to prepositional phrase attachment disambiguation.pdf
acopost_note/references/(Bran00)TnT- a statistical part-of-speech tagger.pdf
acopost_note/references/(Bril92)A simple rule-based part of speech tagger.pdf
acopost_note/references/(Bril93')Transformation-based error-driven parsing.pdf
acopost_note/references/(Bril93)Automatic grammar induction and parsing free text - a transformation-based approach.pdf
acopost_note/references/(Bril94)Some advances in transformation-based part of speech tagging.pdf
acopost_note/references/(Bril95')Unsupervised learning lf disambiguation rules for part of speech tagging.pdf
acopost_note/references/(Bril95)Transformation-based error-driven learning and natural language processing - a case study in part-of-speech tagging.pdf
acopost_note/references/(DBW97)IGTree using trees for compression and classification in lazy learning algorithms.pdf
acopost_note/references/(DZBG96)MBT A memory-based part of speech tagger generator.pdf
acopost_note/references/(For05)The Viterbi Algorithm- A Personal History.pdf
acopost_note/references/(NF01)Transformation-based learning in the fast lane.pdf
acopost_note/references/(Rat96)A maximum entropy model for part-of-speech tagging.pdf
acopost_note/references/(Rat98)Maximum entropy models for natural language ambiguity resolution.pdf
acopost_note/references/(Scha03)0410.pdf
acopost_note/references/(Schr02')A case study in part-of-speech tagging using the ICOPOST toolkit.pdf
acopost_note/references/(Schr02)ug.pdf
acopost_note/references/(Xue03)Chinese word segmentation as character tagging.pdf
acopost_note/references/(ZD99)Recent advances in memory-based part-of-speech tagging.pdf
acopost_note/t3.txt
acopost_note/tbt.txt
acopost_note/tool/
acopost_note/tool/pk2raw.py
acopost_note/tool/raw2cooked.py
acopost_note/tool/tbt_split_corpus.py

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