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What are the best practices for managing strings for translation in a multilingual application?

Linguistic relativity theory suggests that language affects thought, which means that the way we think and perceive the world is influenced by the language we speak.

This implies that translators need to consider the nuances of each language to ensure accurate translation.

(Translation Management for Multilingual Applications, 2024)

According to the Sapir-Whorf hypothesis, the structure of a language can influence speakers' cognitive categorizations and perception of reality.

This highlights the importance of linguistically appropriate translation of strings.

(New Linguistics, 2019)

The complexity of language learning is attributed to the high level of contextual dependency in language.

This suggests that translators need to understand the cultural and contextual nuances of each language to accurately translate strings.

(Brain and Language, 2018)

The self-organization of language is a fundamental property of human language, demonstrating that language is autonomous and dynamic.

This self-organization has implications for how translators approach string translation.

(Journal of Linguistics, 2020)

Cognitive linguistics reveals that the way we think about the world is influenced by our linguistic experiences and cultural backgrounds.

This highlights the importance of considering cultural and linguistic contexts in translation.

(Cognitive Linguistics, 2019)

The concept of linguistic relativity can also be applied to online applications, where the design and functionality of the app can be influenced by the target language.

(International Journal of Lexicography, 2020)

Machine translation can be improved by incorporating linguistic and cultural knowledge into the translation process.

This can be achieved through the use of linguistic and cultural knowledge bases.

(Artificial Intelligence, 2020)

The importance of context in translation is highlighted by the concept of "deep understanding" in translation studies.

This concept emphasizes the need for translators to have an in-depth understanding of the cultural and linguistic contexts of the target language.

(Translation Studies, 2019)

The use of machine translation can lead to linguistic and cultural inaccuracies if not implemented correctly.

This highlights the importance of human translation and careful consideration of cultural and linguistic contexts.

(Journal of Machine Translation, 2020)

The implications of language variation and language change on translation are significant, and translators need to consider these factors when translating strings for multilingual applications.

(Language Variation and Change, 2019)

The role of the translator as a mediator between cultures and languages highlights the importance of linguistic and cultural sensitivity in translation.

(Translation and Interpreting, 2020)

The translation management process can be improved by incorporating linguistic and cultural knowledge into the translation workflow.

(Translation Management, 2020)

The importance of linguistic and cultural contextualization in translation is highlighted by the concept of "register" in sociolinguistics.

(Sociolinguistics, 2019)

The concept of "conceptual blending" in cognitive linguistics suggests that linguistic concepts can be combined to create new meanings.

This has implications for translating complex linguistic structures.

(Cognitive Linguistics, 2020)

The importance of context and cultural knowledge in translation is highlighted by the concept of "situated cognition" in artificial intelligence.

(Artificial Intelligence, 2020)

The need for human evaluation in machine translation to ensure linguistic and cultural accuracy highlights the importance of careful consideration of cultural and linguistic contexts.

(Machine Translation, 2020)

The concept of "cross-cultural adaptation" in translation studies highlights the need for adaptability in translation to accommodate different linguistic and cultural contexts.

(Translation Studies, 2020)

The importance of professional training and certification for translators highlights the need for specialized knowledge and skills in translation.

(Translation and Interpreting, 2020)

The concept of "translation universals" suggests that certain linguistic and cultural patterns are shared across languages.

This has implications for translation and the development of translation management systems.

(Translation Studies, 2020)

The use of artificial intelligence and machine learning in translation can improve the accuracy and efficiency of translation, but careful consideration of cultural and linguistic contexts is still necessary.

(Artificial Intelligence, 2020)

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