Working with machine translation. Potential and limits

TL;DR

Machine translation has made significant progress, but it still has limitations and policy implications for communication and language learning.

Transcript

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Key Insights

• 🎰 Machine translation has made significant progress, but it still relies on human translations and databases for accuracy.
• ⚾ The claims of parity between machine and human translations are based on isolated sentences and do not consider the discursive and pragmatic features of texts.
• 👤 Machine translation can have a complementary role in language learning and can be used to increase user confidence and capacity to learn in public services.
• 🏣 Pre-editing and post-editing techniques can enhance the efficiency of machine translation, especially in multilingual translations.
• 👤 Encouraging users to explore alternative translations and making machine translation more interactive can improve its functionality.
• 😒 Smaller languages and linguistic diversity should be considered in the development and use of machine translation.

Questions & Answers

Q: How has machine translation improved over the years?

Machine translation, such as Google Translate, has improved significantly in translating languages, although stylistic improvements are still needed.

Q: Is machine translation more efficient than human translation?

Studies have shown that machine translation is especially advantageous for field-specific terminology and helps users with weaker language skills, but it may not significantly increase translation speed.

Q: Can users benefit from machine translation in language learning?

Machine translation can complement language learning by helping users understand and compare translations, thus increasing their language skills and control over their learning.

Q: Are machine translations as reliable as human translations?

Machine translations are based on databases of human translations, but the accuracy and trustworthiness depend on the quality of the database. Trust in translations is still a social function served by human translators.

Summary & Key Takeaways

• Machine translation has improved over the years, with Google Translate showing great progress in translating languages.

• While there are still stylistic improvements that can be made, the progress in machine translation is significant and cannot be ignored.

• Machine translation can be beneficial for non-professional translators and collaboration in translation projects, increasing the number of translations in society.