Sap Se

Jochen Geib

Benjamin Schork

Michail Vasiltschenko

Florian Hoffmann

Christian Lieske

Matthias Becker

Yvonne Miklosch

Anton Snitko

Jens Scharnbacher

Annika Berger

Angelika Kirilin

Nora Von Thenen

Robert Stuehler

Klaus Heitlinger

Thomas Jargstorff

Techniques and solutions are described for translating strings in a human language that are associated with code, such as code that declares user interface elements in association with which the strings can be displayed. The strings can be embedded in code, or can be included in files that are accessed by the code or used in creating executable code. Strings can be extracted from data, such as files, received in a translation request. After translation, such as by a human translator or using automatic translation, the translation results can be provided in response to the translation request. The translation process can be automated, such that changes to files in a code repository can trigger a translation request. Disclosed technologies can facilitate the production of programs that are localized using different human languages.

String extraction and translation service

Provided is a system and method for retrieving a translation of a source word based on context. For example, the context may include other words in a same file as the source word. The context can be used to identify the correct semantic meaning of the source word when the word has multiple contextual meanings. In one example, the method may include identifying a source word from a data file, determining a plurality of translation candidates for the source word which translate the source word from a source language into a different language, retrieving a target translation candidate for the source word from among the plurality of translation candidates based on context of the source word included in the data file, and outputting the translated target translation candidate for display via a display device.

Context-based translation retrieval via multilingual space

Computer-assisted multilingual translations may utilize a concept database storing entries for a plurality of concepts, the entries including multilingual vectors of counterpart expressions for the respective concepts in a source language and multiple target languages. In various embodiments, for a given content item having an associated source-language expression, a set of concepts whose database entries match at least the source-language expression is identified, and target-language expressions for the identified concepts are used to iteratively update the set of concepts by identifying therein a subset of concepts that also match a user-selected one of the target-language expressions.

Concept recommendation based on multilingual user interaction

The embodiments may be adapted to accommodate a plurality of translations of a source text string into a limited available display area of a visual element in a graphical interface of a client system. Text strings in a source language may be received as input. A list of one or more languages selected for the text string to be translated into may also be received as input. The system may then be configured to obtain translations of the text string in the selected languages, to provide a set of translation vectors, and to calculate a minimum display area necessary for a visual element to display the longest translation of the translations contained in the translation vector. The display area of the visual element may then be adjusted to encompass the minimum display area so that the longest translation fits within the display area of the visual element.

Translation-based visual design

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Speyer, Germany

Jochen Geib