nltk.corpus.reader.semcor module

Corpus reader for the SemCor Corpus.

class nltk.corpus.reader.semcor.SemcorCorpusReader

Bases: XMLCorpusReader

Corpus reader for the SemCor Corpus. For access to the complete XML data structure, use the xml() method. For access to simple word lists and tagged word lists, use words(), sents(), tagged_words(), and tagged_sents().

__init__(root, fileids, wordnet, lazy=True)

Parameters

• root (PathPointer or str) – A path pointer identifying the root directory for this corpus. If a string is specified, then it will be converted to a PathPointer automatically.

• fileids – A list of the files that make up this corpus. This list can either be specified explicitly, as a list of strings; or implicitly, as a regular expression over file paths. The absolute path for each file will be constructed by joining the reader’s root to each file name.

• encoding –

  The default unicode encoding for the files that make up the corpus. The value of encoding can be any of the following:

  • A string: encoding is the encoding name for all files.

  • A dictionary: encoding[file_id] is the encoding name for the file whose identifier is file_id. If file_id is not in encoding, then the file contents will be processed using non-unicode byte strings.

  • A list: encoding should be a list of (regexp, encoding) tuples. The encoding for a file whose identifier is file_id will be the encoding value for the first tuple whose regexp matches the file_id. If no tuple’s regexp matches the file_id, the file contents will be processed using non-unicode byte strings.

  • None: the file contents of all files will be processed using non-unicode byte strings.

• tagset – The name of the tagset used by this corpus, to be used for normalizing or converting the POS tags returned by the tagged_...() methods.

chunk_sents(fileids=None)

Returns

the given file(s) as a list of sentences, each encoded as a list of chunks.

Return type

list(list(list(str)))

chunks(fileids=None)

Returns

the given file(s) as a list of chunks, each of which is a list of words and punctuation symbols that form a unit.

Return type

list(list(str))

sents(fileids=None)

Returns

the given file(s) as a list of sentences, each encoded as a list of word strings.

Return type

list(list(str))

tagged_chunks(fileids=None, tag='pos')

Returns

the given file(s) as a list of tagged chunks, represented in tree form.

Return type

list(Tree)

Parameters

tag – ‘pos’ (part of speech), ‘sem’ (semantic), or ‘both’ to indicate the kind of tags to include. Semantic tags consist of WordNet lemma IDs, plus an ‘NE’ node if the chunk is a named entity without a specific entry in WordNet. (Named entities of type ‘other’ have no lemma. Other chunks not in WordNet have no semantic tag. Punctuation tokens have None for their part of speech tag.)

tagged_sents(fileids=None, tag='pos')

Returns

the given file(s) as a list of sentences. Each sentence is represented as a list of tagged chunks (in tree form).

Return type

list(list(Tree))

Parameters

tag – ‘pos’ (part of speech), ‘sem’ (semantic), or ‘both’ to indicate the kind of tags to include. Semantic tags consist of WordNet lemma IDs, plus an ‘NE’ node if the chunk is a named entity without a specific entry in WordNet. (Named entities of type ‘other’ have no lemma. Other chunks not in WordNet have no semantic tag. Punctuation tokens have None for their part of speech tag.)

words(fileids=None)

Returns

the given file(s) as a list of words and punctuation symbols.

Return type

list(str)

class nltk.corpus.reader.semcor.SemcorSentence

Bases: list

A list of words, augmented by an attribute num used to record the sentence identifier (the n attribute from the XML).

__init__(num, items)

class nltk.corpus.reader.semcor.SemcorWordView

Bases: XMLCorpusView

A stream backed corpus view specialized for use with the BNC corpus.

__init__(fileid, unit, bracket_sent, pos_tag, sem_tag, wordnet)

Parameters

• fileid – The name of the underlying file.

• unit – One of ‘token’, ‘word’, or ‘chunk’.

• bracket_sent – If true, include sentence bracketing.

• pos_tag – Whether to include part-of-speech tags.

• sem_tag – Whether to include semantic tags, namely WordNet lemma and OOV named entity status.

handle_elt(elt, context)

Convert an element into an appropriate value for inclusion in the view. Unless overridden by a subclass or by the elt_handler constructor argument, this method simply returns elt.

Returns

The view value corresponding to elt.

Parameters

• elt (ElementTree) – The element that should be converted.

• context (str) – A string composed of element tags separated by forward slashes, indicating the XML context of the given element. For example, the string 'foo/bar/baz' indicates that the element is a baz element whose parent is a bar element and whose grandparent is a top-level foo element.

handle_sent(elt)

handle_word(elt)