Praktični vidiki uporabe podbesednih enot v strojnem prevajanju slovenščina-angleščina

Avtorji

  • Gregor Donaj Univerza v Mariboru, Fakulteta za elektrotehniko, računalništvo in informatiko https://orcid.org/0000-0002-0297-2714
  • Mirjam Sepesy Maučec Univerza v Mariboru, Fakulteta za elektrotehniko, računalništvo in informatiko

DOI:

https://doi.org/10.4312/slo2.0.2023.1.275-301

Ključne besede:

strojno prevajanje, velikost slovarja, podbesedne enote, grafične procesne enote

Povzetek

Večina sodobnih sistemov za strojno prevajanje temelji na arhitekturi nevronskih mrež. To velja za spletne ponudnike strojnega prevajanja, za raziskovalne sisteme in za orodja, ki so lahko v pomoč poklicnim prevajalcem v njihovi praksi. Čeprav lahko sisteme nevronskih mrež uporabljamo na običajnih centralnih procesnih enotah osebnih računalnikov in strežnikov, je za delovanje s smiselno hitrostjo potrebna uporaba grafičnih procesnih enot. Pri tem smo omejeni z velikostjo slovarja, kar zmanjšuje kakovost prevodov. Velikost slovarja besednih enot je še posebej pereč problem visoko pregibnih jezikov. Rešujemo ga z uporabo podbesednih enot, s katerimi dosežemo večjo pokritost jezika. V članku predstavljamo različne metode razcepljanja besed na podbesedne enote z različno velikimi slovarji in primerjamo njihovo uporabo v strojnem prevajalniku za jezikovni par slovenščina-angleščina. V primerjavo vključujemo še prevajalnik brez razcepljanja besed. Predstavljamo rezultate uspešnosti prevajanja z metriko BLEU, hitrosti učenja modelov in hitrosti prevajanja ter velikosti modelov. Dodajamo pregled praktičnih vidikov uporabe podbesednih enot v strojnem prevajalniku, ki ga uporabljamo skupaj z orodji za računalniško podprto prevajanje.

Prenosi

Podatki o prenosih še niso na voljo.

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Prenosi

Objavljeno

12. 09. 2023

Številka

Rubrika

Članki – Sklop 2: Jezikovni viri in tehnologije

Kako citirati

Donaj, G., & Sepesy Maučec, M. (2023). Praktični vidiki uporabe podbesednih enot v strojnem prevajanju slovenščina-angleščina. Slovenščina 2.0: Empirične, Aplikativne in Interdisciplinarne Raziskave, 11(1), 275-301. https://doi.org/10.4312/slo2.0.2023.1.275-301