Amazon.com, Inc.
Systems, methods, and apparatuses for controlling output length in neural machine translation

Last updated:

Abstract:

Techniques for neural machine translation with a controlled output are described. An exemplary method includes receiving a request to perform a machine language translation of text using a translation model; determining a desired target length of the text; using the translation model to translate the text, the identified translation model including an encoder and decoder portion, the decoder portion in accept as an input into a decoder stack at least an embedding of a token of the text, a position of the token within the text, and an indication of length; and output a result of the machine language translation to a requester.

Status:
Grant
Type:

Utility

Filling date:

27 Sep 2019

Issue date:

5 Apr 2022