CharConvEmbedder

class opennmt.inputters.CharConvEmbedder(*args, **kwargs)

An inputter that applies a convolution on characters embeddings.

Inherits from: opennmt.inputters.CharEmbedder

__init__(embedding_size, num_outputs, kernel_size=5, stride=3, dropout=0.0, **kwargs)

Initializes the parameters of the character convolution embedder.

Parameters

• embedding_size – The size of the character embedding.

• num_outputs – The dimension of the convolution output space.

• kernel_size – Length of the convolution window.

• stride – Length of the convolution stride.

• dropout – The probability to drop units in the embedding.

• **kwargs – Additional layer keyword arguments.

call(features, training=None)

Creates the model input from the features (e.g. word embeddings).

Parameters

• features – A dictionary of tf.Tensor, the output of opennmt.inputters.Inputter.make_features().

• training – Run in training mode.

Returns

The model input.