Language, speech & LLMs· 2016
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
On the reading lists
- #475 in the Top 500 (2026 edition)
- #71 in Language, speech & LLMs (2026 edition)
Why it matters
Large-scale production NMT with residual LSTMs and attention.
Condensed from the expert lists' notes.
The record
- First released
- 2016 (from arXiv 1609.08144)
- Citations
- 7,419 citations, as counted by Papers With Code (CC BY-SA 4.0)
- Named by
- the grok list only
- Score
- 0.352 · computed rank 475 · consensus 0.15, must-read 0, citations percentile 0.733 (2010s · language), awards 0, existing lists 0.5. Method
Data sources
Catalogue data from OpenAlex (CC0), Crossref (CC0 metadata; no abstracts are shown), arXiv, and Papers With Code (CC BY-SA 4.0). Each count names its source. See the method.