English to French MT Transformer model trained on Must-C using Espnet2
Abstract
# RESULTS## Environments- date: `Tue Jan 27 11:39:54 CET 2026`- python version: `3.8.18 (default, Sep 11 2023, 13:40:15) [GCC 11.2.0]`- espnet version: `espnet 202402`- pytorch version: `pytorch 1.13.0`- Git hash: `d090a74e9b1a8953aba40a2c9af1f9791b8c1cd9` - Commit date: `Mon Jun 10 14:26:18 2024 +0000` ## decode_mt_mt_model_valid.acc.ave ### BLEU |dataset|score|verbose_score||---|---|---||decode_mt_mt_model_valid.acc.ave/dev.en-fr|28.8|57.8/35.2/23.0/15.3 (BP = 0.989 ratio = 0.989 hyp_len = 27166 ref_len = 27470)||decode_mt_mt_model_valid.acc.ave/tst-COMMON.en-fr|35.4|64.6/43.1/30.4/21.8 (BP = 0.961 ratio = 0.962 hyp_len = 46419 ref_len = 48273)||decode_mt_mt_model_valid.acc.ave/tst-HE.en-fr|31.1|59.5/37.6/25.1/17.1 (BP = 0.992 ratio = 0.992 hyp_len = 11479 ref_len = 11572)|
Fields of Study & Subjects
Natural Language Processing Techniques
Speech Recognition and Synthesis
Topic Modeling
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 27 January 2026
- Document type
- Dataset