Search Results for author:
Found 5 papers, 2 papers with code
The EuroPat Corpus: A Parallel Corpus of European Patent Data
We present the EuroPat corpus of patent-specific parallel data for 6 official European languages paired with English: German, Spanish, French, Croatian, Norwegian, and Polish.
Efficient Machine Translation with Model Pruning and Quantization
We participated in all tracks of the WMT 2021 efficient machine translation task: single-core CPU, multi-core CPU, and GPU hardware with throughput and latency conditions.
A New Massive Multilingual Dataset for High-Performance Language Technologies
We present the HPLT (High Performance Language Technologies) language resources, a new massive multilingual dataset including both monolingual and bilingual corpora extracted from CommonCrawl and previously unused web crawls from the Internet Archive.
OpusCleaner and OpusTrainer, open source toolkits for training Machine Translation and Large language models
Developing high quality machine translation systems is a labour intensive, challenging and confusing process for newcomers to the field.
TranslateLocally: Blazing-fast translation running on the local CPU
Every day, millions of people sacrifice their privacy and browsing habits in exchange for online machine translation.
