Training a neural network for learning word embeddings
Channel: Applied Language Technology
Date: 2021-04-20

In this video, we will train a neural network to predict which words tend to co-occur with each other. We then extract vector representations, that is, the so-called word embeddings, for individual words, which the network has learned while learning the task!

✨ Check out the learning materials associated with this video: https://applied-language-technology.mooc.fi/html/notebooks/part_iii/04_embeddings.html#training-a-neural-network

✨ Clone the repository with Jupyter Notebooks for interactive computing from GitHub: https://github.com/Applied-Language-Technology/notebooks

✨ Check out other videos in the Natural Language Processing for Linguists playlist: https://youtube.com/playlist?list=PL6cQi6qFlek0LQ_6gz2cCksbLhE1PfX4R