The role of Computer-Assisted Translation in the field of software localization

This article analyses the effectiveness of computer-assisted translation (CAT) in the field of software localization. In order to measure and assessthe advantages of using translation tools, a program is localized using Passolo, a specialized software localization application. The study is intendedto calibrate how CAT can improve translators’ performance in a localization project and also to appraise the main features of the selectedapplication, focusing on functionality, usability and reliability. The article outlines some of the challenges and difficulties of software localization,aiming to test how the process of adapting a product to a particular locale can be optimized by the use of computer assisted translation. The casestudy focuses on the main challenges of the process from the point of view of translation. To conclude, the study formulates a number of conclusionsand evaluates the performance of the selected application.

Softwarelokalisierung - ein neues Arbeitsfeld für Übersetzerinnen und Übersetzer

Internationalization and localization are keywords in our present global economy. The Development and marketing of products and services are successful only if they can be adapted to requirements of the target market in a fast and easy way. The adaptation of software products that are linguistically, culturally, legally and technically appropriate for a regional market is called software localization.This paper gives an overview of the field of software localization. After some general definitions of important concepts, the types of “texts” that have to be localized and the types of software tools that are used for localization are described. Special linguistic and non-linguistic aspects relevant and specific to localization in general are discussed and explained using examples.

Localization of the SureWash Pocket® mobile health app to Brazilian Portuguese

ABSTRACT Objectives: To localize the textual interface of the SureWash Pocket® mobile health app and to present the methodological experience used in the localization process. Method: Software localization study to Brazilian Portuguese. The localization process was carried out between December 2018 and June 2019 in the city of Cuiabá/MT, through six steps: permission to localize the software; two independent translations; synthesis of translations; evaluation of the validity of the textual interface by a Committee of Expert Judges; back translation; and publication. Results: The textual interfaces were organized into 107 items and analyzed by ten expert judges. In the first round, 64% of the items reached a pre-established minimum agreement level of 90%. During the second round, 39 remaining items were adapted according to consensual suggestions and the pre-final version was consolidated. Conclusion: The localization process suggests that the localized SureWash Pocket® is considered valid and can be used for an educational intervention on hand hygiene.

Establishing A-Priori Performance Guarantees for Robot Missions that Include Localization Software

One approach to determining whether an automated system is performing correctly is to monitor its performance, signaling when the performance is not acceptable; another approach is to automatically analyze the possible behaviors of the system a-priori and determine performance guarantees. Thea authors have applied this second approach to automatically derive performance guarantees for behavior-based, multi-robot critical mission software using an innovative approach to formal verification for robotic software. Localization and mapping algorithms can allow a robot to navigate well in an unknown environment. However, whether such algorithms enhance any specific robot mission is currently a matter for empirical validation. Several approaches to incorporating pre-existing software into the authors' probabilistic verification framework are presented, and one used to include Monte-Carlo based localization software. Verification and experimental validation results are discussed for real localization missions with this software, showing that the proposed approach accurately predicts performance.