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67 lines
3.1 KiB
Plaintext
67 lines
3.1 KiB
Plaintext
include ../../_includes/_mixins
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p By default spaCy loads a #[code data/vocab/vec.bin] file, where the #[em data] directory is within the #[code spacy.en] module directory. This file can be replaced, to customize the word vectors that spaCy loads. You can also replace the word vectors at run-time.
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+h(2, "replacing-vec-bin") Replacing vec.bin
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p The function #[code spacy.vocab.write_binary_vectors] creates a word vectors file in spaCy's binary data format. It expects a #[code bz2] file in the following format:
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+code.
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word_key1 0.92 0.45 -0.9 0.0
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word_key2 0.3 0.1 0.6 0.3
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...
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p That is, each line is a single entry. Each entry consists of a key string, followed by a sequence of floats. Each entry should have the same number of floats.
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p The following example script will replace the #[code vec.bin] file with vectors read from a #[code bz2] archive:
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+code.
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from spacy.vocab import write_binary_vectors
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import spacy.en
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from os import path
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def main(bz2_loc, bin_loc=None):
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if bin_loc is None:
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bin_loc = path.join(path.dirname(spacy.en.__file__), 'data', 'vocab', 'vec.bin')
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write_binary_vectors(bz2_loc, bin_loc)
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if __name__ == '__main__':
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plac.call(main)
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+h(2, "replace-vectors-archive") Replace the Vectors at Run-Time, From an Archive
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p Since v0.93, instances of #[code Vocab] allow new vectors to be loaded from #[code bz2] archive files. This allows vectors to be loaded as follows:
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+code.
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>>> from spacy.en import English
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>>> nlp = English()
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>>> n_dimensions = nlp.vocab.load_vectors('glove.840B.300d.txt.bz2')
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>>> n_dimensions
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300
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+h(2, "replace-vectors-per-word") Replace Vectors at Run-Time, Per Word
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p Since v0.93, you can assign to the #[code .vector] attribute of #[code Lexeme] instances. Tokens of that lexical type will then inherit the updated vector. For instance:
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+code.
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>>> from spacy.en import English
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>>> nlp = English()
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>>> apples, oranges = nlp(u'apples oranges')
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<type 'spacy.tokens.token.Token'>
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>>> apples_lexeme = nlp.vocab[u'apples']
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>>> type(apples), type(apples_lexeme)
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(<type 'spacy.tokens.token.Token'>, <type 'spacy.lexeme.Lexeme'>)
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>>> sum(apples.vector)
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0.56299778164247982
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>>> apples_lexeme.vector *= 2
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>>> sum(apples.vector)
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1.1259955632849596
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p All tokens which have the #[code orth] attribute #[em apples] will inherit the updated vector.
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p Note that the updated vectors won't persist after exit, unless you persist them yourself, and then replace the #[code vec.bin] file as described above.
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p A popular source of word vectors are the #[a(href="http://nlp.stanford.edu/projects/glove/" target="_blank") GloVe word vectors], particularly those calculated off the #[a(href="https://commoncrawl.org/" target="_blank") Common Crawl]. Note that the provided vector file has a few entries which are not valid UTF8 strings. These should be filtered out.
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p Future versions of spaCy will allow you to provide a file-like object, instead of a location of a #[bz2] file.
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