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Research Papers SYSTRAN Article Read Post
Research papers

Non-Autoregressive Machine Translation with Translation Memories [PDF]

Non-autoregressive machine translation (NAT) has recently made great progress. However, most works to date have focused on standard translation tasks, even though some edit-based NAT models, such as the Levenshtein Transformer (LevT), seem well suited…
Research Papers SYSTRAN Article Read Post
Research papers

Bilingual Synchronization: Restoring Translational Relationships with Editing Operations [PDF]

Computational Linguist for Machine Translation Article Read Post
Translation Technologies

Interview Behind the MT : Ardas, the Computational Linguist

Ingénieur linguiste dans la traduction automatiue Article Read Post
Translation Technologies

The role of the Computational Linguist

SYSTRAN X CROWDIN Article Read Post
Industries

CROWDIN x SYSTRAN Partnership

Research Papers SYSTRAN Article Read Post
Research papers

Robust Translation of French Live Speech Transcripts [PDF]

Article Read Post
Translation Technologies

How can a machine learn to translate into your language?

Article Read Post
Data Compliance

Cloud translation: 2 security levers decrypted

NMT and SYSTRAN Article Read Post
Industries

Collaborative work: Why use machine translation?

Article Read Post
Data Compliance

Cloud Translation: Security in 5 key points

Webinar Farfetch-Systran Webinar Read Post
Industries

Customer Talk #4 | Farfetch

Event Read Post
Industries

TEKOM Deuthschland Fair 2022 | November 8th – November 10th

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