Bindings to UDPipe library
Project description
ufal.udpipe
The ufal.udpipe is a Python binding to UDPipe library <http://ufal.mff.cuni.cz/udpipe>.
The bindings is a straightforward conversion of the C++ bindings API. In Python 2, strings can be both unicode and UTF-8 encoded str, and the library always produces unicode. In Python 3, strings must be only str.
Wrapped C++ API
The C++ API being wrapped follows. For a API reference of the original C++ API, see <http://ufal.mff.cuni.cz/udpipe/api-reference>.
Helper Structures ----------------- typedef vector<int> Children; typedef vector<string> Comments; class ProcessingError { public: bool occurred(); string message; }; class Word { public: int id; // 0 is root, >0 is sentence word, <0 is undefined string form; // form string lemma; // lemma string upostag; // universal part-of-speech tag string xpostag; // language-specific part-of-speech tag string feats; // list of morphological features int head; // head, 0 is root, <0 is undefined string deprel; // dependency relation to the head string deps; // secondary dependencies string misc; // miscellaneous information Children children; Word(int id = -1, const string& form = string()); }; typedef vector<Word> Words; class MultiwordToken { public: int idFirst, idLast; string form; string misc; MultiwordToken(int id_first = -1, int id_last = -1, const string& form = string(), const string& misc = string()); }; typedef vector<MultiwordToken> MultiwordTokens; class Sentence { public: Sentence(); Words words; MultiwordTokens multiwordTokens; Comments comments static const string rootForm; bool empty(); void clear(); virtual Word& addWord(const char* form); void setHead(int id, int head, const string& deprel); void unlinkAllWords(); }; typedef vector<Sentence> Sentences; Main Classes ------------ class InputFormat { public: virtual void setText(const char* text); virtual bool nextSentence(Sentence& s, ProcessingError* error = nullptr); static InputFormat* newInputFormat(const string& name); static InputFormat* newConlluInputFormat(); static InputFormat* newHorizontalInputFormat(); static InputFormat* newVerticalInputFormat(); }; class OutputFormat { public: virtual string writeSentence(const Sentence& s) const; static OutputFormat* newOutputFormat(const string& name); static OutputFormat* newConlluOutputFormat(); static OutputFormat* newHorizontalOutputFormat(); static OutputFormat* newVerticalOutputFormat(); }; class Model { public: static Model* load(const char* fname); virtual InputFormat* newTokenizer(const string& options) const; virtual bool tag(Sentence& s, const string& options, ProcessingError* error = nullptr) const; virtual bool parse(Sentence& s, const string& options, ProcessingError* error) const; static const string DEFAULT; }; class Pipeline { public: Pipeline(const Model* m, const string& input, const string& tagger, const string& parser, const string& output); void setModel(const Model* m); void setInput(const string& input); void setTagger(const string& tagger); void setParser(const string& parser); void setOutput(const string& output); string process(const string& data, ProcessingError* error = nullptr) const; static const string DEFAULT; static const string NONE; }; class Trainer { public: static string train(const string& method, const Sentences& train, const Sentences& heldout, const string& tokenizer, const string& tagger, const string& parser, ProcessingError* error = nullptr); static const string DEFAULT; static const string NONE; }; class Evaluator { public: Evaluator(const Model* m, const string& tokenizer, const string& tagger, const string& parser); void setModel(const Model* m); void setTokenizer(const string& tokenizer); void setTagger(const string& tagger); void setParser(const string& parser); string evaluate(const string& data, ProcessingError* error = nullptr) const; static const string DEFAULT; static const string NONE; }; class Version { public: unsigned major; unsigned minor; unsigned patch; string prerelease; // Returns current version. static version current(); };
Examples
run_udpipe
Simple pipeline loading data (tokenizing on request), tagging, parsing and writing to specified output format:
from ufal.udpipe import * # In Python2, wrap sys.stdin and sys.stdout to work with unicode. if sys.version_info[0] < 3: import codecs import locale encoding = locale.getpreferredencoding() sys.stdin = codecs.getreader(encoding)(sys.stdin) sys.stdout = codecs.getwriter(encoding)(sys.stdout) if len(sys.argv) < 4: sys.stderr.write('Usage: %s input_format output_format model_file\n' % sys.argv[0]) sys.exit(1) sys.stderr.write('Loading model: ') model = Model.load(sys.argv[3]) if not model: sys.stderr.write("Cannot load model from file '%s'\n" % sys.argv[3]) sys.exit(1) sys.stderr.write('done\n') pipeline = Pipeline(model, sys.argv[1], Pipeline.DEFAULT, Pipeline.DEFAULT, sys.argv[2]) error = ProcessingError() not_eof = True while not_eof: text = '' # Read block while True: line = sys.stdin.readline() not_eof = bool(line) if not not_eof: break line = line.rstrip('\r\n') text += line text += '\n'; if not line: break # Process data print "Processing %s" % text processed = pipeline.process(text, error) if error.occurred(): sys.stderr.write("An error occurred when running run_udpipe: ") sys.stderr.write(error.message) sys.stderr.write("\n") sys.exit(1) sys.stdout.write(processed)
COPYRIGHT AND LICENCE
Copyright 2016 Institute of Formal and Applied Linguistics, Faculty of Mathematics and Physics, Charles University in Prague, Czech Republic.
This Source Code Form is subject to the terms of the Mozilla Public License, v. 2.0. If a copy of the MPL was not distributed with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.