Itzulpengintza Automatikoa

This is a summary of the PhD thesis written by Uxoa Iñurrieta under the supervision of Dr. Gorka Labaka and Dr. Itziar Aduriz. Full title of the PhD thesis in Basque: "Izena+aditza Unitate Fraseologikoak gaztelaniatik euskarara: azterketa eta tratamendu konputazionala". The defense was held in San Sebastian on November 29, 2019. The doctoral committee was integrated by Ricardo Etxepare (Centre National de la Recherche Scientifique), Margarita Alonso (Universidad de Coruña) and Miren Azkarate (University of the Basque Country).

Unitate Fraseologikoak (UFak) hizkuntzek bere-bereak dituzten hitz-konbinazio idiomatikoak dira. Hizkuntzaren Prozesamenduko (HPko) tresnek kalitatezko emaitzak izan ditzaten, beharrezkoa da halakoak ondo tratatzea, baina lan horrek hainbat zailtasun ditu; besteak beste, hitzez hitzeko itzulgarritasun eza. Tesi-lan honetan, aditza+izena motako UFen azterketa linguistiko bat egin dugu, halakoek HPren alorrean sortzen dituzten bi arazo garrantzitsuri aurre egiten laguntzeko: batetik, corpusetan UFak automatikoki identifikatzeari, eta bestetik, UF horiek gaztelaniaren eta euskararen

We present a method for machine translation of clinical texts without using bilingual clinical texts, leveraging the rich terminology and structure of the Systematized Nomenclature of Medicine – Clinical Terms (SNOMED CT), which is considered the most comprehensive, multilingual clinical health care terminology collection in the world. We evaluate our method for Basque to Spanish translation, comparing the performance with and without using clinical domain resources.

ABSTRACT Objective: To analyze techniques for machine translation of electronic health records (EHRs) between long distance languages, using Basque and Spanish as a reference. We studied distinct configurations of neural machine translation systems and used different methods to overcome the lack of a bilingual corpus of clinical texts or health records in Basque and Spanish.