Medical practitioners and healthcare workers rely on information accuracy in academic journals. Some Covid-19 papers contain “tortured phrases”, nonstandard English expressions, or imprecise erroneous terms, that give the impression of jargon but are not. Most post-publication attention paid to literature has focused biomedical aspects, validity claims, robustness data, little been published li...

This work presents an extension to phrasebased statistical machine translation models which incorporates linguistic knowledge, namely part-of-speech information. Scores are added to the standard phrase table which represent how the phrases correspond to their translations on the partof-speech level. We suggest two different kinds of scores. They are learned from a POS-tagged version of the para...

This paper presents a method for an automatic compilation of a phonologically rich text database, which is used in a concatenative text-to-speech (TTS) synthesis system. In this method, linguistic features are predicted from text using Festival’s linguistic engine. A set of phonological units for a specific text is compiled from attribute value lists (AVLs). Phrases/sentences that contain the p...