Language, speech & LLMs· 1993
The Mathematics of Statistical Machine Translation: Parameter Estimation
On the reading lists
- #171 in the Top 500 (2026 edition)
- #27 in Language, speech & LLMs (2026 edition)
Why it matters
Established IBM translation models and probabilistic word alignment, foundational to statistical machine translation.
Condensed from the expert lists' notes.
The record
- First released
- 1993 (from OpenAlex)
- Citations
- 4,957 citations, as counted by
Semantic Scholar (non-commercial licence) - Named by
- both expert lists
- Score
- 0.575 · computed rank 171 · consensus 0.84, must-read 1, citations percentile 0.636 (1990s · language), awards 0, existing lists 0. Method
Editor's notes
- Readability check: fail: The IBM models are long and notation-heavy; modern NMT papers teach translation better. (AI draft (Claude), not yet reviewed, 2026-10-29)
Data sources
Catalogue data from OpenAlex (CC0), Crossref (CC0 metadata; no abstracts are shown), arXiv, and Papers With Code (CC BY-SA 4.0), and Semantic Scholar (used under its non-commercial API licence). Each count names its source. See the method.