In this video, we will about training word embeddings by writing a python code. So we will write a python code to train word embeddings. To train word embeddings, we need to solve a fake problem. This ...

In this video, we will learn about training word embeddings. To train word embeddings, we need to solve a fake problem. This ...

In word2vec and glove, we generate an embedding space for the words. The program outputs a vector.txt file which contains the embedding vectors. run_word2vec : runs the word2vec file run_glove : runs ...

This tutorial introduces how to train word2vec model for Turkish language from Wikipedia dump. This code is written in Python 3 by using gensim library. Turkish is an agglutinative language and there ...

Abstract: Humans are precise in recognizing natural languages and responding contextually unlike machines. However, speech recognition or Automatic speech recognition often refers to converting human ...

Abstract: In order to solve the problem of poor universality and the absence of contextual information in word similarity calculation based on dictionary, this paper proposes a semantic similarity ...