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Neural Machine Translation and the Loss of Context

Year: 2025

Type: article

Abstract: This paper discusses neural machine translation and context loss. Machine translation is a method that uses computers to automatically translate human languages. Currently, neural machine translation (NMT) has achieved great breakthroughs in translation performance. This paper provides an overview of the structure of NMT and discusses its main problems in terms of context loss.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.15302949

Author: Alimova, Khilola

Language: English

Topic: Natural Language Processing Techniques

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W6912020348

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