Year: 2021
Type: conference-paper
Abstract: In this research, we combined the alignment model of the phrase-based statistical machine translation and manual treatment of the data in order to examine English multiword discourse markers and their equivalents in Lithuanian and Hebrew, by researching their changes in translation.
Institutions: Mykolas Romeris University, Jerusalem College of Technology
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W6912549586
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