Bindings to NameTag library
Project description
ufal.nametag
The ufal.nametag is a Python binding to NameTag library <http://ufal.mff.cuni.cz/nametag>.
The bindings is a straightforward conversion of the C++ bindings API. Python >=3 is supported.
Wrapped C++ API
The C++ API being wrapped follows. For a API reference of the original C++ API, see <http://ufal.mff.cuni.cz/nametag/api-reference>.
Helper Structures ----------------- typedef vector<string> Forms; struct TokenRange { size_t start; size_t length; }; typedef vector<TokenRange> TokenRanges; struct NamedEntity { size_t start; size_t length; string type; NamedEntity(); NamedEntity(size_t start, size_t length, const string& type); }; typedef vector<NamedEntity> NamedEntities; Main Classes ------------ class Version { public: unsigned major; unsigned minor; unsigned patch; string prerelease; static Version current(); }; class Tokenizer { public: virtual void setText(const char* text); virtual bool nextSentence(Forms* forms, TokenRanges* tokens); static Tokenizer* newVerticalTokenizer(); }; class Ner { static ner* load(const char* fname); virtual void recognize(Forms& forms, NamedEntities& entities) const; virtual void entityTypes(Forms& types) const; virtual void gazetteers(Forms& gazetteers, Ints& gazetteer_types) const; virtual Tokenizer* newTokenizer() const; };
Examples
run_ner
Simple example performing named entity recognition:
import sys from ufal.nametag import * def encode_entities(text): return text.replace('&', '&').replace('<', '<').replace('>', '>').replace('"', '"') def sort_entities(entities): return sorted(entities, key=lambda entity: (entity.start, -entity.length)) # 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) == 1: sys.stderr.write('Usage: %s recognizer_model\n' % sys.argv[0]) sys.exit(1) sys.stderr.write('Loading ner: ') ner = Ner.load(sys.argv[1]) if not ner: sys.stderr.write("Cannot load recognizer from file '%s'\n" % sys.argv[1]) sys.exit(1) sys.stderr.write('done\n') forms = Forms() tokens = TokenRanges() entities = NamedEntities() sortedEntities = [] openEntities = [] tokenizer = ner.newTokenizer() if tokenizer is None: sys.stderr.write("No tokenizer is defined for the supplied model!") sys.exit(1) 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 # Tokenize and recognize tokenizer.setText(text) t = 0 while tokenizer.nextSentence(forms, tokens): ner.recognize(forms, entities) sortedEntities = sort_entities(entities) # Write entities e = 0 for i in range(len(tokens)): sys.stdout.write(encode_entities(text[t:tokens[i].start])) if (i == 0): sys.stdout.write("<sentence>") # Open entities starting at current token while (e < len(sortedEntities) and sortedEntities[e].start == i): sys.stdout.write('<ne type="%s">' % encode_entities(sortedEntities[e].type)) openEntities.append(sortedEntities[e].start + sortedEntities[e].length - 1) e = e + 1 # The token itself sys.stdout.write('<token>%s</token>' % encode_entities(text[tokens[i].start : tokens[i].start + tokens[i].length])) # Close entities ending after current token while openEntities and openEntities[-1] == i: sys.stdout.write('</ne>') openEntities.pop() if (i + 1 == len(tokens)): sys.stdout.write("</sentence>") t = tokens[i].start + tokens[i].length # Write rest of the text sys.stdout.write(encode_entities(text[t:]))
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/.
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