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 | el-en-ep7_20191011e |
| Subject/specialty | Generic, parliament debates |
| Source language | Greek (el) |
| Target language | English (en) |
| BLEU score | 52.81056 |
| Quality quotient (QQ) | 13.0% |
| Edit distance per line (Levenshtein) | 36.2 |
| Evaluation segments (count) | 2,366 |
| BLEU 1.0 segments (count) | 308 |
| 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_20191011e |
| Source/target pairs (count) | 169,400 |
| Lexicon, source language (words) | 83,423 |
| Words, source language (total) | 2,933,084 |
| Lexicon, target language (words) | 42,071 |
| Words, target language (total) | 2,978,493 |
| Monolingual Training Corpus | ep7_20191011e |
| Target segments (count) | 181,123 |
| Lexicon, target language (words) | 45,707 |
| Words, target language (total) | 3,434,775 |
| Original EuroParl v7.0 total segment pairs | 1,235,976 |