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epic.dense

Word2Vec

object Word2Vec

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  6. def convertWord(str: String, lowercase: Boolean = false): String
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  13. def loadBansalVectorsForVocabulary(word2vecPath: String, voc: Set[String], inputVectorBias: Boolean): HashMap[String, Array[Float]]
  14. def loadVectorsForVocabulary(word2vecPath: String, voc: Set[String], inputVectorBias: Boolean): HashMap[String, Array[Float]]

    Loads vectors for a vocabulary from word2vec, with OOV words having random vectors generated for them.

  15. def makeRandomVectorsForVocabulary(voc: Set[String], dim: Int, inputVectorBias: Boolean): HashMap[String, Array[Float]]
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  19. def readBansalEmbeddings(embeddingsPath: String, words: Set[String], inputVectorBias: Boolean): HashMap[String, Array[Float]]
  20. def readWord2Vec(word2VecPath: String, words: Set[String], inputVectorBias: Boolean): HashMap[String, Array[Float]]

    Reads the vectors in words from the given word2vec path and augments with a bias feature if necessary.

    Reads the vectors in words from the given word2vec path and augments with a bias feature if necessary. The returned map does not include entries for words that are not in the w2v file.

  21. def smartLoadVectorsForVocabulary(word2vecPaths: Seq[String], voc: Set[String], vocCounts: Counter[String, Double] = Counter[String,Double], maxVectorLen: Int = Int.MaxValue, inputVectorBias: Boolean, randomizeUnks: Boolean = true): HashMap[String, Array[Float]]

    Loads vectors from one or more sources in word2vecPaths; these might be in word2vec format (should end in .bin) or C+W/Bansal format (should end in .txt).

    Loads vectors from one or more sources in word2vecPaths; these might be in word2vec format (should end in .bin) or C+W/Bansal format (should end in .txt).

    For each word, vectors are appended from each source. If at least one source is present, others are zeroes. Otherwise, it gets a random vector.

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    (Since version ) see corresponding Javadoc for more information.

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