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COINTURK FINANCE > Business > Translated Launches Lara as New AI Translation Platform
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Translated Launches Lara as New AI Translation Platform

Overview

  • Lara is Translated's new AI translation platform for individuals and teams.

  • The platform is trained on a curated dataset with 25 million translations.

  • Support for 200 languages will be expanded, enhancing global communication.

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COINTURK FINANCE 7 months ago
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Rome-based language solutions provider Translated has introduced a new AI-driven translation platform called Lara, specifically designed for both individual and team use. As global communication needs continue to evolve, the demand for accurate and contextual translations becomes more critical. This development is poised to enhance the way translations are performed, offering a fresh approach to translating diverse languages. Lara’s deployment reflects Translated’s commitment to providing innovative solutions tailored to modern linguistic requirements.

Contents
Lara’s Advanced CapabilitiesHow Does Lara Support Languages?

Historically, Translated has been at the forefront of AI translation technology. In recent years, the company has been recognized for its machine translation solutions, such as ModernMT. These tools have been widely adopted by global clients, including Airbnb and Uber. Compared to its past innovations, Lara represents a significant stride towards achieving language singularity, a goal the company aims to reach by 2025. Previous systems were successful but not as comprehensive as Lara, which uses a vast dataset of real-world translations refined by professional translators.

Lara’s Advanced Capabilities

Lara sets itself apart through its extensive training on 1.2 million Nvidia (NASDAQ:NVDA) GPU hours, utilizing a curated dataset of 25 million translations. This dataset includes human-reviewed translations that record errors and corrections, allowing Lara to provide translations that align closely with professional standards.

According to Translated, “Lara consistently demonstrates superior accuracy, making fewer errors than median professional translators.”

This positions Lara ahead of existing platforms like Google (NASDAQ:GOOGL) Translate and DeepL in terms of accuracy and reliability.

How Does Lara Support Languages?

Lara currently supports highly demanded languages such as English, French, German, and Chinese, among others. It aims to expand its reach to include all 200 languages within Translated’s repertoire. The adaptability of Lara allows users to choose the translation style, ranging from fluid to creative. The company believes that this capacity will significantly increase the demand for AI-powered translations.

CEO Marco Trombetti stated, “We estimate a growth in demand for AI-powered translation (100x) and human translation (10x).”

This reflects the platform’s potential to cater to diverse linguistic needs worldwide.

Translated has been a pioneer in integrating AI with human translation expertise, a vision that began with its founding in 1999 by Isabelle Andrieu and Marco Trombetti. Over the years, the company has created innovative solutions, enhancing its reputation in the language services sector. The introduction of Lara continues this trend by merging machine efficiency with human expertise, promising to deliver context-aware translations to a broad audience. The platform’s synergy of AI and human translators is designed to handle complex localization projects efficiently.

As Translated advances towards the release of Lara’s enterprise edition in 2025, the platform’s evolution underscores the company’s dedication to refining AI translation technologies. By aligning new technologies with human skill, Translated aims to improve global communication. The future of language solutions may well be shaped by such advancements, promising broader access to accurate translations.

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Disclaimer: The information contained in this article does not constitute investment advice. Investors should be aware that cryptocurrencies carry high volatility and therefore risk, and should conduct their own research.

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