def computewordembedding(texts):
"""Creates a new word embedding using a given list of tokenized texts"""
# Compute model
model = Word2Vec(texts, size=100, window=5, min_count=5, workers=8)
# Transform to polyglot model
return Embedding.from_gensim(model)
