AI Paper Atlas

Research map / Large language models / Language, safety and interpretability

One Homonym per Translation

AAAI 2020 · Large language models › Language, safety and interpretability · approach: Text generation and evaluation metrics · 14 citations (OpenAlex)

Read the paperCheck your idea against 108,967 papers

AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.

Measured effects reported in the paper

What was changedWhereMeasuredEffect
Evaluate whether each translation maps to only one homonymEnglish homonyms in MSC · MSC (Italian)support (%): 99.9Helped
Evaluate whether each translation maps to only one homonymEnglish homonyms in JSC · JSC (Japanese)support (%): 99.8Helped
Restrict the one-sense-per-discourse expectation to homonymsHomonymous words in SemCor · SemCor documentssupport (%): 99.6Helped
Restrict the one-sense-per-collocation expectation to homonymsIMS trained on SemCor · Five benchmark datasetseffective accuracy: 97.9%Helped
Require sense clusters not to combine senses from distinct homonymsOntoNotes clustering · OntoNotes sense clusterssupport (%): 99.9Helped
Use homonym pairs rather than OntoNotes sense-cluster pairsTranslation partitioning in MSC · MSC, 20 pairs of each typepairs with strict translation partitioning: 16 of the 20 vs. 6 of the 20; p < 0.005Helped

Closest papers by meaning

Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.

Open scime draft

Get the next scime Dispatch and a monthly field update

Free. We send a confirmation link first; every email has a one-click unsubscribe. Privacy