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-lv-ep7_20191011m |
| Subject/specialty | Broad subject range, informative tone |
| Source language | English (en) |
| Target language | Latvian (lv) |
| BLEU score | 49.78096 |
| Quality quotient (QQ) | 11.0% |
| Edit distance per line (Levenshtein) | 38.6 |
| Evaluation Set (free download) | 2,365 segment pairs |
| BLEU 1.0 segments (count) | 280 |
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_20191011m |
| Source/target pairs (count) | 159,720 |
| Lexicon, source language (words) | 39,330 |
| Words, source language (total) | 3,025,312 |
| Lexicon, target language (words) | 88,825 |
| Words, target language (total) | 2,456,111 |
| Monolingual Training Corpus | ep7_20191011m |
| Target segments (count) | 173,660 |
| Lexicon, target language (words) | 96,779 |
| Words, target language (total) | 2,945,568 |
| Source | EuroParl v7.0 |
| Total segment pairs | 637,599 |