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Found 4 papers, 0 papers with code
APE-then-QE: Correcting then Filtering Pseudo Parallel Corpora for MT Training Data Creation
We propose a repair-filter-use methodology that uses an APE system to correct errors on the target side of the MT training data.
"A Little is Enough": Few-Shot Quality Estimation based Corpus Filtering improves Machine Translation
To the best of our knowledge, this is a novel adaptation of the QE framework to extract quality parallel corpus from the pseudo-parallel corpus.
VAKTA-SETU: A Speech-to-Speech Machine Translation Service in Select Indic Languages
In this work, we present our deployment-ready Speech-to-Speech Machine Translation (SSMT) system for English-Hindi, English-Marathi, and Hindi-Marathi language pairs.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+5
Improving Machine Translation with Phrase Pair Injection and Corpus Filtering
In this paper, we show that the combination of Phrase Pair Injection and Corpus Filtering boosts the performance of Neural Machine Translation (NMT) systems.
