slate® qmt™ engine – a ready-made quantum machine translation engine to import and use immediately in slate® connect, slate® desktop, and slate® desktop pro.
Engine Name | en-ro-ep7_20191011q |
Subject/specialty | Broad subject range, informative tone |
Source language | English (en) |
Target language | Romanian (ro) |
BLEU score | 59.95037 |
Quality quotient (QQ) | 15.9% |
Edit distance per line (Levenshtein) | 34.2 |
Evaluation Set (free download) | 2,345 segment pairs |
BLEU 1.0 segments (count) | 373 |
Training Resources
This package includes the engine’s training corpus. We used the qmt strategy to create the smallest possible training corpus that maximizes machine translation post-editing productivity.
Parallel Training Corpus | ep7_20191011q |
Source/target pairs (count) | 103,006 |
Lexicon, source language (words) | 30,142 |
Words, source language (total) | 1,985,082 |
Lexicon, target language (words) | 51,025 |
Words, target language (total) | 1,976,272 |
Monolingual Training Corpus | ep7_20191011q |
Target segments (count) | 112,735 |
Lexicon, target language (words) | 54,994 |
Words, target language (total) | 2,365,217 |
Source | EuroParl v7.0 |
Total segment pairs | 399,375 |