This package contains a ready-made Quantum Machine Translation™ (QMT™) engine to import and immediately use in Slate Desktop™, Slate Desktop Pro™ and Slate Connect™.
| Engine Name | en-cs-ep7_20191011b |
| Subject/specialty | Generic, parliament debates |
| 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 segments (count) | 2,362 |
| BLEU 1.0 segments (count) | 291 |
| Evaluation set (free download) | Download Free |
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 |
| Original EuroParl v7.0 total segment pairs | 646,605 |