Unsupervised Machine Translation: How Machines Learn to Understand across Languages

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F25%3A10511539" target="_blank" >RIV/00216208:11320/25:10511539 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Unsupervised Machine Translation: How Machines Learn to Understand across Languages
Original language description
For decades, machine translation between natural languages has relied in a fundamental way on so-called parallel texts, i.e. texts that have been translated by humans. For a long time, the idea that machine translation systems could be trained on non-parallel texts, i.e. texts in the source and target languages that are completely independent of each other, was rather illusory. In our monograph, we discuss the motivation for research on machine translation based on monolingual texts, organizing the methods used into two main classes: methods based on data manipulation (typically finding pairs of sentences that, although not mutually translated, could be because they carry similar content) and methods based on designing and modifying machine translation models so that the models can find linguistic equivalence between source and target language expressions on their own. The focus of the monograph is on a series of experiments with each method and combinations of methods, which demonstrate the practical
Czech name
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Czech description
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Type
B - Specialist book
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project
<a href="/en/project/GX19-26934X" target="_blank" >GX19-26934X: Neural Representations in Multi-modal and Multi-lingual Modeling</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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