Generating Diverse Back-Translations via Constraint Random Decoding. Abstract. Back-translation has been proven to be an effective data augmentation method ...
Jun 8, 2023 · We construct length constraint–text pairs using randomly ... Lexically constrained · decoding for sequence generation using grid beam search.
Sep 19, 2022 · However, recent work has hinted that which decoding strategy (i.e., the method used to generate strings from the model) may be more important ...
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Jul 14, 2022 · Parabank: Monolingual bitext generation and sentential paraphrasing via lexically-constrained neural machine translation. In. Proceedings of ...
input and output sequences for different conditional layout generation tasks through constraint ... roll back the decoding process to a previous step and restart.
(2022) proposed a tree-based machine translation approach that utilizes lexical dependency parsing. NEUROSTRUCTURAL DECODING is different from previous research ...
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be applied to the decoder of different ... machine translation via data augmentation. In ... Lexically constrained decoding for sequence generation using grid.
translated back to the ... Configuration Name Decoding Algorithm Constraint Recognition Backtranslations ... strained decoding for sequence generation using.
Lexically-constrained sequence decoding allows for explicit positive or negative phrase-based constraints to be placed on target output strings in ...
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ically constrained decoding for sequence generation using grid beam search. In Proceedings of ACL, pages 1535–. 1546, 2017. [Kingma and Ba, 2015] Diederik P ...