Skip to main content

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)

AUTHORS

Milan Straka <straka@ufal.mff.cuni.cz>

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

ufal.udpipe-1.0.0.1.tar.gz (271.1 kB view details)

Uploaded Source

File details

Details for the file ufal.udpipe-1.0.0.1.tar.gz.

File metadata

  • Download URL: ufal.udpipe-1.0.0.1.tar.gz
  • Upload date:
  • Size: 271.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for ufal.udpipe-1.0.0.1.tar.gz
Algorithm Hash digest
SHA256 04a238d73f128ad377b8e29fb96cc68f02bf2dadeea7a52498d94d30b1183e49
MD5 70eaadca6559bc347a7d4f3128fa0aec
BLAKE2b-256 b3b5c49e891fc0011dfd1913d20fa0888169e3276ecaf738b87bef6bbd7bdb81

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page