RNN for text prediction

• Input text: “the cat sat on the ma”

• Question: what is the next char?

• RNN outputs a distribution over the chars.

• Sample a char from it; we may get ‘t’.

• Take “the cat sat on the mat” as input.

• Maybe the next char is period ‘.’.

Training

• Cut text to segments (with overlap). E.g., seg_len=40 and stride=3.

  • Partition text to (segment, next_char) pairs.

• A segment is used as input text.

• Its next char is used as label.

• One-hot encode the characters.

  • Character -> $v \times 1$ vector.
  • Segment $l \times v$ matrix.
• Training data: (segment, next_char) pairs

• It is a multi-class classification problem. #class = #unique chars.