NEURAL MACHINE TRANSLATION AND THE LOSS OF CONTEXT

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.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-29
DOI
https://doi.org/10.5281/zenodo.15302949
Primary Topic
Natural Language Processing Techniques
Type
article
Field-Weighted Citation Impact
0.00
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article

NEURAL MACHINE TRANSLATION AND THE LOSS OF CONTEXT

Zenodo (CERN European Organization for Nuclear Research)
Natural Language Processing Techniques
article

NEURAL MACHINE TRANSLATION AND THE LOSS OF CONTEXT

article en

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.

Zenodo (CERN European Organization for Nuclear Research)
Quality Education
Openalex Percentile: Top 75%
Natural Language Processing Techniques
DOIOpen Access PDFOpenAlex
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NEURAL MACHINE TRANSLATION AND THE LOSS OF CONTEXT · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS