A novel method for dictionary translation
Robert Krajewski , Henryk Rybiński , Marek Kozłowski
The paper addresses the problem of automatic dictionary translation.The proposed method translates a dictionary by means of mining repositories in the source and target languages, without any directly given relationships connecting the two languages. It consists of two stages: (1) translation by lexical similarity, where words are compared graphically, and (2) translation by semantic similarity, where contexts are compared. In the experiments Polish and English version of Wikipedia were used as text corpora. The method and its phases are thoroughly analyzed. The results allow implementing this method in human-in-the-middle systems.
|Journal series||Journal of Intelligent Information Systems, ISSN 0925-9902, e-ISSN 1573-7675|
|ASJC Classification||; ; ; ;|
|Score|| = 20.0, 24-07-2020, ArticleFromJournal|
= 20.0, 24-07-2020, ArticleFromJournal
|Publication indicators||= 2; = 1; = 4.0; : 2016 = 1.292; : 2016 = 1.294 (2) - 2016=1.618 (5)|
|Citation count*||4 (2020-09-17)|
* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.