A Comparison of Machine Translation Paradigms for Use in Black-Box Fuzzy-Match Repair.
Rebecca E. Knowles, John E. Ortega, Philipp Koehn · Edinburgh Research Explorer (University of Edinburgh) · 2018
Fuzzy-match repair (FMR), which combines a human-generated translation memory (TM) with the flexibility of machine translation (MT), is one way of using MT to augment resources available to translators. We evaluate rule-based, phrase- based, and neural MT systems as black-box sources of bilingual information for FMR. We show that FMR success varies based on both the quality of the MT system and the type of MT system being used.