lengoo | Machine Learning

Lengoo's new, unconventional CTO making people’s lives better with tech

Discover the tech leader’s goals for Lengoo and learn about the launch of our exciting new instant translation app.

Bias in machine learning: “We need more diverse teams”

Can AI be discriminating? Our MT Engineer Andrada Pumnea explains why bias occurs in machine learning, how it affects people's lives, and what data scientists can do about it.

Machine Learning

How the pandemic is driving the use of AI

Developing vaccines, predicting the trajectory of infections, symptom apps for early detection: artificial intelligence has proved what it’s capable of during the pandemic. But AI technology will also play a major role in companies, even after COVID-19.

Machine Learning

Artificial intelligence, machine learning, deep learning—buzzwords explained

Artificial intelligence is a broad field. It includes topics such as machine learning, deep learning, neural networks, and algorithms. What do these terms mean? How are they related? And what does neural machine translation have to do with artificial intelligence?

Machine Learning

Augmented Intelligence: How AI helps improve our decision making

How can people make better decisions using data and AI? This is the question non-fiction author and business journalist Thomas Ramgea will be exploring in this guest contribution.

Machine Learning

Training AI is like teaching children

Similar to young students, AI needs good teachers. Models require good training, they need guidance, and the learning process never ends.

Machine Learning

Tell me a joke, computer! Can AI be funny?

Chatbots, language assistants and neural machine translation: Computers are constantly improving their grasp of human language. Can artificial intelligence also be funny? Once again, this issue shows just how important humans are in AI applications.

Machine Learning

Demystifying GPT-3: “It’s impressive but it doesn’t know the world as we do"

There has been quite a hype around GPT-3 in the AI world. Is it worth it? Our MT Engineer Ahmad Taie says: yes and no.

Machine Learning

Jay Marciano: "Technology allows translators to focus on the meaning of language"

Jay Marciano, Lengoo's Director of MT Outreach & Strategy, talks about augmented translation and about how advancing AI technology is changing the translation process.

Community

Lengoo Hackathon: Finding New Solutions Together

We love teamwork. Our Lengoo team has come together for a Hackathon.

Machine Learning

Podcast: Moving an Industry into the Age of AI with Martin Stamenov (Team Lead Machine Learning)

Team Lead Machine Learning Martin Stamenov talks to Anthony Kelly in the “AI in Action” podcast, about the factors that determine the success of process automation using Artificial Intelligence.

Machine Learning

MT for Beginners: What is BLEU and what is wrong with it?

We explain what “BLEU scores” are -and why discussing the accuracy of translations is sometimes a near-philosophical debate.

Machine Learning

Lengoo Tech Talk: "Lessons Learnt at Google" with Michael Schmitt

For Lengoos Tech Talk, we invite guest speakers once a month to give exciting lectures on various tech topics. The guest speaker this time being Michael Schmitt - Advisor & Investor at Motu Ventures and former Engineering Director at Google.

Machine Learning

Milestones of Machine Translation: Part 3 — The future of MT

An interview with Team Lead Machine Learning and MT expert Martin Stamenov on the future of machine translation.

Machine Learning

Milestones of Machine Translation: Part 2 — chess boards and neural networks

The present and future of MT are much rosier than its past. What are we still working on today?

Machine Learning

Milestones of Machine Translation: Part 1 — In the beginning, there was the dictionary

The story of Machine Translation has much in common with the epics of ancient Greece, including decisive trials by fire.

Machine Learning

The Difficulty of MT Evaluation - Interview with an Expert

"None of the automatic metrics are perfect. Each of them has advantages and disadvantages, and each of them is a poor substitute for evaluations made by human experts."