---
title: Lilt's Favorite Neural Machine Translation Videos
description: Neural Machine Translation videos to help translators, localization managers, and casual fans of linguistics learn how NMT systems will impact translation and localization strategies.
image: https://labs.lilt.com/hubfs/pexels-photo-66134%20(1).jpeg
---

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## Lilt's Favorite Neural Machine Translation Videos

![](https://labs.lilt.com/hubfs/Lilt_June2018/Layout/default-80.png) 

by Lilt Labs 

August, 27, 2018  3 Minute Read

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Neural Machine Translation is everywhere (and not just on this blog). Translators want to know how it will affect their livelihood, and internal localization managers want to know how they can make it work for their translation strategy. Whether you're looking to assess the business applications of neural machine translation, or peek under the hood to see how all the gears fit together, these NMT videos can help you wrap your head around the rising tide that is neural machine translation.

Neural Machine Translation and Models with Attention 

This video is a full lecture from Stanford's School of Engineering. The lecturer, Chris Manning--Thomas M. Siebel Professor in Machine Learning, Professor of Linguistics and Computer Science--emphasizes how to implement, train, debug, visualize, and design neural network models.

## The Wonderful and Terrifying Implications of Computers That Can Learn 

While only tangentially related to NMT, this TED talk covers several examples of Deep Learning, or a computer's ability to process information and create output of their own accord. Included is an exciting real time audio translation from English to Chinese.

## What do Neural Machine Translation Models Learn about Morphology?

It's well documented, but NMT presents an opportunity not just to include morphology features, but also for the technology to learn from the translator and provide more accurate feedback. What can NMT tools learn about morphology? A slew of MIT professors give you the bangers & mash. 

## Business Applications of NMT

University of Zurich PhD candidate, CTO of TechShuttle, and Researcher at Lilt Samuel Läubli explains the growing corporate utility and needs of NMT at last year's SlatorCon translation conference. You'll have to click through to view the video on Vimeo, but it's worth it.

## How Can NMT Make Translators Better?

Some translators fear that NMT threatens to make them obsolete, but at Lilt, we're convinced it's only going to make language professionals more efficient and better at their jobs. Here's a breakdown of how human translators can utilize NMT to continue creating nuanced, geo-specific translation work.

What are you favorite free NMT resources? Hit us up in the comments!

[View All Posts](https://labs.lilt.com)

### [![](https://labs.lilt.com/hubfs/Tech%20Blog%20Post.png) March, 29, 2023 Introducing Lilt Contextual AI: In-Context Learning for Enterprise Localization 7 Minute Read ![](https://labs.lilt.com/hubfs/1538507977285.jpg) Today we’re excited to announce the Lilt Contextual AI Engine, a new generative language model that implements in-context learning (ICL). With 5x more parameters than the previous Lilt model it replaces, Contextual AI powers the Verified (with human verification) and Instant (fully automatic) enterprise localization workflows. Contextual AI outperforms both GPT-4 and Google Translate while remaining over 1000x more compact than GPT-4, meaning that self-managed customers of the Lilt AI Platform can deploy on their own compute. Read More](https://labs.lilt.com/technical-blog-post?hsLang=en)

### [![](https://labs.lilt.com/hubfs/Screen%20Shot%202022-11-15%20at%201.28.14%20PM.png) November, 10, 2022 How Translation Management Systems Can Accelerate Global Growth for Fortune 500 Companies 6 Minute Read ![](https://labs.lilt.com/hubfs/elly.jpeg) Growing your business into the global marketplace is the ultimate goal for many enterprise businesses. However, along with the excitement expansion brings comes the inevitable logistic headaches. Challenges like translating for multiple languages or translating a large volume of content can be met by investing in a Translation Management System, or TMS. A TMS is a software platform that helps organizations manage a multilingual localization process from start to finish, and provides localization stakeholders transparency into the entire translation process and pipeline. Read More](https://labs.lilt.com/how-translation-management-systems-can-accelerate-global-growth-for-fortune-500-companies?hsLang=en)

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