Automatic Translation of Scholarly Terms into Patent Terms

2011 ◽  
pp. 373-388 ◽  
Author(s):  
Hidetsugu Nanba ◽  
Hideaki Kamaya ◽  
Toshiyuki Takezawa ◽  
Manabu Okumura ◽  
Akihiro Shinmori ◽  
...  
Keyword(s):  
Automatic Translation

DARR: A Free-text Analysis System for the Automatic Documentation of Radiological Reports

1977 ◽  
Vol 16 (03) ◽  
pp. 144-153 ◽  
Author(s):  
E. Vaccari ◽  
W. Delaney ◽  
A. Chiesa
Keyword(s):  
Natural Language ◽  
Text Analysis ◽  
Automatic Documentation ◽  
Free Text ◽  
Software System ◽  
Automatic Translation ◽  
Radiological Report ◽  
Analysis System ◽  
Content Processing

A software system for the automatic free-text analysis and retrieval of radiological reports is presented. Such software involves: (1) automatic translation of the specific natural language in a formalized metalanguage in order to transform the radiological report in a »normalized report« analyzable by computer; (2) content processing of the normalized report to select desired information. The approach used to accomplish point (1) is described in detail referring to a specific application.

Grammatical Difficulties of Automatic Translation of Scientific and Technical Literature

2019 ◽  
Vol 26 (27) ◽  
pp. 134-141
Author(s):  
Aliona Kolesnichenko ◽  
Natalya Zhmayeva
Keyword(s):  
Key Words ◽  
Technical Literature ◽  
Automatic Translation ◽  
Advantages And Disadvantages ◽  
Grammatical Errors ◽  
Translation Service

The article is devoted to the analysis of grammatical difficulties encountered in the process of automatic translation. The paper discusses the advantages and disadvantages of the SDL Trados automatic translation service. The types of grammatical errors when translating scientific and technical texts in SDL Trados are classified, the ways of overcoming them are outlined. Key words: scientific and technical literature, automatic translation, grammatical difficulties.

Concept Recognition in French Biomedical Text Using Automatic Translation

2016 ◽  
pp. 162-173 ◽  
Author(s):  
Zubair Afzal ◽  
Saber A. Akhondi ◽  
Herman H. H. B. M. van Haagen ◽  
Erik M. van Mulligen ◽  
Jan A. Kors
Keyword(s):  
Biomedical Text ◽  
Concept Recognition ◽  
Automatic Translation

scholarly journals Classement de métonymies et traduction automatique

2020 ◽  
Vol 32 ◽  
pp. 192-209
Author(s):  
Anna Czekaj
Keyword(s):  
Helpful Tool ◽  
Automatic Translation ◽  
Traduction Automatique

The paper is a continuation of the author’s previous work regarding the legitimacy of metonymy classification for the needs of automatic translation. The author attempts to solve the problem presented in the paper entitled Classification of metonymy and its usefulness in automatic translation and proposes her classification of metonymic expressions, which could be a helpful tool in computer translation.

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