Balashov, Yuri <br/><br/>
OPUS-CAT: a State-of-the-Art neural machine translation engine on your local computer  Recurso electrónico 

 - Alexandria, VA  American Translator Association  september-october 2021 
 - p. 33-37 
 - Bimonthly 
 - The ATA Chronicle : number 5, volume L, Sep/Oct 2021  vol. 50; n. 5 .
<br/><br/> Neural machine translation (NMT) is one of the success stories of deep learning and artificial intelligence. Revolutionary innovations in the<br/>computational architectures made in 2015–2017 have led to dramatic improvements in the quality of machine translation (MT) and changed the field forever. Some professional translators welcome these changes with enthusiasm, others less so. But everyone has to deal with them. Historically, the relationship between human translation and MT has been uneasy and complicated, but an increasing number of players in both fields are now coming to view it as synergistic. 
<br/><br/><label>ISSN: </label>1078-6457 
<br/><br/><label>Subjects--Topical Terms: </label><br/>TRADUCCION AUTOMATICA<br/>NEUROLINGÜISTICA<br/>TRADUCCION ASISTIDA POR COMPUTADORA<br/>INTELIGENCIA ARTIFICIAL<br/>MEMORIAS DE TRADUCCIÓN<br/>HERRAMIENTAS PARA LA TRADUCCIÓN
<br/><br/><label>Subjects--Index Terms: </label>OPUS CAT 
<br/><br/><label>Universal Decimal Class. No.: </label>H28