Papers › Style Transfer from Non-Parallel Text by Cross-Alignment

Style Transfer from Non-Parallel Text by Cross-Alignment

26 May 2017NeurIPS 2017 12arXiv:1705.09655archive 2025-07-28

Tianxiao Shen, Tao Lei, Regina Barzilay, Tommi Jaakkola

This paper focuses on style transfer on the basis of non-parallel text. This is an instance of a broad family of problems including machine translation, decipherment, and sentiment modification. The key challenge is to separate the content from other aspects such as style. We assume a shared latent content distribution across different text corpora, and propose a method that leverages refined alignment of latent representations to perform style transfer. The transferred sentences from one style should match example sentences from the other style as a population. We demonstrate the effectiveness of this cross-alignment method on three tasks: sentiment modification, decipherment of word substitution ciphers, and recovery of word order.

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Syntology Ran 6 of 7 code samples harvested from 3 repositories linked to this paper; 1 has no recorded run. Of those that ran: 1 ran · honoured contract; 4 ran · our draft was wrong; 1 ran · fixture could not drive it.

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shentianxiao/language-style-transfer officialmentioned in papermentioned on GitHubtf report
jishavm/TextStyleTransfer mentioned on GitHubtf report
kaletap/nlp-style-transfer mentioned on GitHubtf report
kyuer/language-style-transfer mentioned on GitHubtf report
mariob6/style_text mentioned on GitHubpytorch report
nlahlaf/Text-Style-Transfer mentioned on GitHubtf report
qfzhu/st mentioned on GitHubtf report

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7 samples harvested; 6 ran; 1 honoured the contract we drafted; 1 has no recorded run. Read from Syntology's graph 2026-09-24; that is when this build read the record, not when the samples ran.

1ran · honoured contract
4ran · our draft was wrong
1ran · fixture could not drive it
1unverified

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build_vocab nlahlaf/Text-Style-Transfer/code/preprocess.py community (archive-listed) ran · our draft was wrong no licence file found · pointer only · 08c60ec42049361c · report
get_batch nlahlaf/Text-Style-Transfer/code/preprocess.py community (archive-listed) ran · fixture could not drive it no licence file found · pointer only · 6a1d74fe96cb4fd2 · report
matrify_sentences jpark621/language-style-transfer/src/dataset.py community (archive-listed) ran · honoured contract no licence file found · pointer only · 46ce2d1fa28c25e6 · report
one_hot_encode jpark621/language-style-transfer/src/dataset.py community (archive-listed) ran · our draft was wrong fingerprinted no licence file found · pointer only · c59a46bb9512378c · report
read_all_files jpark621/language-style-transfer/src/dataset.py community (archive-listed) ran · our draft was wrong no licence file found · pointer only · fbae36abc73dd6c9 · report
read_data nlahlaf/Text-Style-Transfer/code/preprocess.py community (archive-listed) ran · our draft was wrong no licence file found · pointer only · 2f505891dcccbe58 · report
create_model WhiskyChoy/language-style-transfer/code/style_transfer.py community (archive-listed) unverified Apache-2.0 (permissive) · e4a68e05c6f4d3ed · report

Tasks

DeciphermentMachine TranslationStyle TransferText Style TransferTranslation

Results from the paper archive 2025-07-28

TaskDatasetModelMetricValueRank at snapshotLeaderboardReport
Text Style Transfer Yelp Review Dataset (Small) CAE G-Score (BLEU, Accuracy) 38.66 #7 of 8 Archive leaderboard report

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