Animacy and agentivity of Subject Themes in English-German translation

Heilmann, Arndt; Serbina, Tatiana; Freiwald, Jonas; Neumann, Stella

doi:10.1016/j.lingua.2020.102813

Cited by 23 publications

(1 citation statement)

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“…The systems become more practical with an AI-powered method, which improves the translation process. The technology uses DL algorithms to remotely translate from English to another language 4 . Utilizing the DL algorithm with the sign language interpretation and communication system has several advantages, one of which is the simplification of comprehension 5 .…”

Section: Abstract Deep Learning English Translation Fuzzy Algorithm P...mentioning

confidence: 99%

Analyzing the impact of deep learning algorithms and fuzzy logic approach for remote English translation

Han

2024

Sci Rep

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A remote English translation is used for assisting with on-demand support for adaptable sentence conversion and language understanding. The problem with on-demand translations is the precision verification of the words used. This article addresses the precision problem by assimilating deep learning and fuzzy decision algorithm for remote translation support. The method named Fusion-dependent Precision Translation Approach (FPTA) conducts a series of recurrent validations on word usage and sentence completion for the given inputs. First, the completed sentences are verified using the understandability and meaning intended using deep learning in two recurrent layers. The first layer is responsible for identifying word placement and understandability and the second is responsible for meaning verification. The recurrent training is tuned using a fuzzy decision algorithm by selecting the maximum best-afford solution. The constraint’s understandability and meaning are augmented for tuning the outputs by preventing errors consequently. In precise, the error sequences are identified from the first layer for fuzzification across various inputs. This process improves the word adaptability from different languages reducing errors (12.49%) and improves the understandability (11.57%) for various translated sentences.

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Section: Abstract Deep Learning English Translation Fuzzy Algorithm P...mentioning

confidence: 99%