Scaling up a Hybrid MT System: From low to full resources
| Autor: | Vincent Vandeghinste |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Linguistics and Language
Machine translation business.industry Computer science media_common.quotation_subject Hybrid machine translation Hybrid approach computer.software_genre Translation (geometry) Language and Linguistics Example-based machine translation Quality (business) Artificial intelligence business computer Scaling Natural language processing media_common |
| Zdroj: | Linguistica Antverpiensia, New Series – Themes in Translation Studies. 8 |
| ISSN: | 2295-5739 |
| Popis: | This article describes a hybrid approach to machine translation (MT) that is inspired by the rule-based, statistical, example-based, and other hybrid machine translation approaches currently used or described in academic literature. It describes how the approach was implemented for language pairs using only limited monolingual resources and hardly any parallel resources (the METIS-II system), and how it is currently implemented with rich resources on both the source and target side as well as rich parallel data (the PaCo-MT system). We aim to illustrate that a similar paradigm can be used, irrespectively of the resources available, but of course with an impact on translation quality. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|