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Found 9 papers, 1 papers with code
Surprise Language Challenge: Developing a Neural Machine Translation System between Pashto and English in Two Months
We find that starting from an existing large model pre-trained on 50languages leads to far better BLEU scores than pretraining on one high-resource language pair with a smaller model.
Fuzzy-match repair using black-box machine translation systems: what can be expected?
Computer-aided translation (CAT) tools often use a translation memory (TM) as the key resource to assist translators.
Ranking suggestions for black-box interactive translation prediction systems with multilayer perceptrons
The objective of interactive translation prediction (ITP), a paradigm of computer-aided translation, is to assist professional translators by offering context-based computer-generated suggestions as they type.
On the annotation of TMX translation memories for advanced leveraging in computer-aided translation
The term advanced leveraging refers to extensions beyond the current usage of translation memory (TM) in computer-aided translation (CAT).
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