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Linguistically Derived Translators

The Ludwig Search Engine Helps Users Write English Phrases

— August 8, 2016 — Social Good
The Ludwig search engine is a browser application devoted to helping people who speak English as a second (or third, or fourth) language get it right in writing.

Like any language, English is nuanced, with slight variations in grammar, syntax and punctuation that are obvious to native speakers but baffling to others. Rather than acting as standard translators do, allowing users to enter a foreign sentence and then translating that into English, the Ludwig search engine asks users to enter their best attempt at a correct English formation. It then searches a database of reputable English-language sources like The New York Times, PLOS ONE, the BBC and others for comparable sentences and delivers these to its users.

Ludwig, then, is a socratic method of imparting correct English to its users, since, rather than telling them what it believes to be the right sentence, it gives them examples and forces them to choose.
Trend Themes
1. Language Learning Technology - The Ludwig search engine exemplifies the trend of using technology to help individuals learn and improve their language skills.
2. Data-driven Translation - Ludwig's use of a database of reputable English-language sources demonstrates the trend of leveraging data to enhance the accuracy and quality of translations.
3. Contextual Language Assistance - The Ludwig search engine addresses the need for contextual language assistance by providing users with real-world examples to guide their writing.
Industry Implications
1. Language Learning - The Ludwig search engine has applications in the language learning industry, where it can serve as a valuable tool for students and non-native English speakers.
2. Translation Services - Ludwig's approach to translation opens up opportunities for innovation and disruption in the translation services industry, as it emphasizes contextual understanding and accuracy.
3. Edtech - The Ludwig search engine can be utilized in the education technology sector to support language learning and writing proficiency among students of all levels.
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