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-cs-ep7_20191011b |
Subject/specialty | Broad subject range, informative tone |
Source language | English (en) |
Target language | Czech (cs) |
BLEU score | 49.27525 |
Quality quotient (QQ) | 12.0% |
Edit distance per line (Levenshtein) | 36.5 |
Evaluation Set (free download) | 2,362 segment pairs |
BLEU 1.0 segments (count) | 291 |
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_20191011b |
Source/target pairs (count) | 148,857 |
Lexicon, source language (words) | 37,766 |
Words, source language (total) | 2,730,956 |
Lexicon, target language (words) | 92,125 |
Words, target language (total) | 2,308,760 |
Monolingual Training Corpus | ep7_20191011b |
Target segments (count) | 160,400 |
Lexicon, target language (words) | 99,826 |
Words, target language (total) | 2,729,465 |
Source | EuroParl v7.0 |
Total segment pairs | 646,605 |