@@ -15,7 +15,7 @@ In the example of word vectors, we show how to use Hierarchical-Sigmoid and Nois
## 2. Generate text using the recurrent neural network language model
Language model is an important model in the field of natural language processing. In addition to getting the word vector (a by-product of language model training), it can also help us to generate text. Given a number of words, the language model can help us predict the next most likely word. In the example of using language model to generate text, we focus on the recurrent neural network language model. We can use the instructions in the document quickly adapt to their training corpus, complete automatic writing poetry, automatic writing prose and other interesting models.
The language model is important in the field of natural language processing. In addition to getting the word vector (a by-product of language model training), it can also help us to generate text. Given a number of words, the language model can help us predict the next most likely word. In the example of using the language model to generate text, we focus on the recurrent neural network language model. We can use the instructions in the document quickly adapt to their training corpus, complete automatic writing poetry, automatic writing prose and other interesting models.
- 2.1 [Generate text using the annotated neural network language model] (https://github.com/PaddlePaddle/models/tree/develop/generate_sequence_by_rnn_lm)
