Search Results for author:
Found 10 papers, 1 papers with code
The OPUS Resource Repository: An Open Package for Creating Parallel Corpora and Machine Translation Services
This paper presents a flexible and powerful system for creating parallel corpora and for running neural machine translation services.
Boosting Neural Machine Translation from Finnish to Northern Sámi with Rule-Based Backtranslation
Evaluating the results on an in-domain test set and a small out-of-domain set, we find that the RBMT backtranslation outperforms NMT backtranslation clearly for the out-of-domain test set, but also slightly for the in-domain data, for which the NMT backtranslation model provided clearly better BLEU scores than the RBMT.
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.
Democratizing Neural Machine Translation with OPUS-MT
This paper presents the OPUS ecosystem with a focus on the development of open machine translation models and tools, and their integration into end-user applications, development platforms and professional workflows.
OpusFilter: A Configurable Parallel Corpus Filtering Toolbox
We demonstrate the effectiveness of OpusFilter on the example of a Finnish-English news translation task based on noisy web-crawled training data.
The University of Helsinki Submission to the IWSLT2020 Offline SpeechTranslation Task
This paper describes the University of Helsinki Language Technology group{'}s participation in the IWSLT 2020 offline speech translation task, addressing the translation of English audio into German text.
OpusTools and Parallel Corpus Diagnostics
We show the use of these tools in parallel corpus creation and data diagnostics.
The FISKM\"O Project: Resources and Tools for Finnish-Swedish Machine Translation and Cross-Linguistic Research
This paper presents FISKM{\"O}, a project that focuses on the development of resources and tools for cross-linguistic research and machine translation between Finnish and Swedish.
Paraphrase Detection on Noisy Subtitles in Six Languages
We perform automatic paraphrase detection on subtitle data from the Opusparcus corpus comprising six European languages: German, English, Finnish, French, Russian, and Swedish.
