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 | da-en-ep7_20191011c |
| Subject/specialty | Generic, parliament debates |
| Source language | Danish (da) |
| Target language | English (en) |
| BLEU score | 49.37346 |
| Quality quotient (QQ) | 14.0% |
| Edit distance per line (Levenshtein) | 36.5 |
| Evaluation segments (count) | 2,359 |
| BLEU 1.0 segments (count) | 332 |
| 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_20191011c |
| Source/target pairs (count) | 140,420 |
| Lexicon, source language (words) | 70,565 |
| Words, source language (total) | 2,009,366 |
| Lexicon, target language (words) | 37,540 |
| Words, target language (total) | 2,219,610 |
| Monolingual Training Corpus | ep7_20191011c |
| Target segments (count) | 146,106 |
| Lexicon, target language (words) | 39,570 |
| Words, target language (total) | 2,429,164 |
| Original EuroParl v7.0 total segment pairs | 1,968,800 |