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Found 4 papers, 1 papers with code
Using Multiple Subwords to Improve English-Esperanto Automated Literary Translation Quality
As an additional contribution, we made available a set of English-Esperanto parallel data in the literary domain.
The Impact of Indirect Machine Translation on Sentiment Classification
Furthermore, as performing a direct translation is not always possible, we explore the performance of automatic classifiers on sentences that have been translated using a pivot MT system.
A Tool for Facilitating OCR Postediting in Historical Documents
This paper reports on a tool built for postediting the output of Tesseract, more specifically for correcting common errors in digitized historical documents.
Multiple Segmentations of Thai Sentences for Neural Machine Translation
Thai is a low-resource language, so it is often the case that data is not available in sufficient quantities to train an Neural Machine Translation (NMT) model which perform to a high level of quality.
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