neuralmonkey.decoders.word_alignment_decoder module

class neuralmonkey.decoders.word_alignment_decoder.WordAlignmentDecoder(encoder: neuralmonkey.encoders.recurrent.RecurrentEncoder, decoder: neuralmonkey.decoders.decoder.Decoder, data_id: str, name: str, initializers: List[Tuple[str, Callable]] = None) → None

Bases: neuralmonkey.model.model_part.ModelPart

A decoder that computes soft alignment from an attentive encoder.

Loss is computed as cross-entropy against a reference alignment.

__init__(encoder: neuralmonkey.encoders.recurrent.RecurrentEncoder, decoder: neuralmonkey.decoders.decoder.Decoder, data_id: str, name: str, initializers: List[Tuple[str, Callable]] = None) → None

Initialize self. See help(type(self)) for accurate signature.

alignment_target

cost

feed_dict(dataset: neuralmonkey.dataset.dataset.Dataset, train: bool = False) → Dict[tensorflow.python.framework.ops.Tensor, Any]

ref_alignment