LSTM LM
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A to Z
- A · App
- No
- B · Built By
- RWTH Aachen
- C · CEO & Politics
- N/A (academic research) — No public partisan activity documented
- D · Date
- 1997
- E · Expertise
- Intermediate+
- F · Free Tier
- No free tier
- G · Generates
- Text only
- H · Deployment
- Research
- I · Inputs
- Text
- J · Jurisdiction
- Germany
- K · Key Staffers
- Martin Sundermeyer (Lead author), Ralf Schlüter (Co-author), Hermann Ney (Senior author)
- L · Languages
- English-primary
- M · Model Type
- LLM
- N · Safety Issues
- None reported
- O · Open Source
- Proprietary
- P · Pricing
- N/A (research)
- Q · AIDb Rating
- 4/10 · AIDb v2.0 (rule-based): Capability 4/10 · Currency 4/10 · Access 2/10 · Significance 4/10 → 3.70
- R · What Makes It Special
- LSTM language model: Sundermeyer, Schlüter and Ney at RWTH Aachen (Interspeech 2012) applied the long short-term memory network (Hochreiter and Schmidhuber, 1997) to language modeling, improving perplexity by about 8% over standard recurrent-network LMs and lowering speech-recognition error rates.
- S · Stock / Status
- University
- T · Training Cutoff
- [UNKNOWN]
- U · Users
- [UNKNOWN]
- V · Voice Chat
- No
- W · Weights
- API only
- X · X Handle
- [UNKNOWN]
- Y · Year Founded
- [UNKNOWN]
- Z · Bottom Line
- Proprietary LLM from RWTH Aachen, released 1997.
Data completeness 85% · Last verified 2026-06-11 · Primary source ↗
Cite this
“LSTM LM.” AIDb — The AI Database. Verified 2026-06-11. https://theaidatabase.com/m/lstm-lm-rwth-aachen.html