low-resource languages

Natural Language Processing • By Lucy Andresen On 31 Mar 2023

Speechless Recognition: Can AI Transcribe a Language It Has Never Heard?

Breakthroughs in multilingual speech models are rapidly expanding language coverage for ASR. But what about endangered languages with little to no training data?

Machine Translation • By Seyma Albarino On 11 Jan 2023

Working Around Machine Translation’s Need for Large-Scale Training Data

Unlike some fields in machine learning, machine translation still requires large sets of training data. The solution? Creating more data when none (or not enough) exists.

Machine Translation • By Seyma Albarino On 6 Jan 2023

Synthetic Data Can Improve Machine Translation – New Research from IBM, UCSD

New research from IBM and UC San Diego explores synthetic parallel data as a means of pre-training machine translation models — with promising results.

Podcasts & Videos • By Slator On 11 Mar 2022

Low Resource, High Potential — NeuralSpace CEO Felix Laumann on Democratizing NLP

NeuralSpace CEO, Felix Laumann, joins the pod to discuss how they overcome the lack of research, data, and tools when training NLP models in low-resource languages.

Machine Translation • By Marion Marking On 28 Feb 2022

More Than Hype: Meta Reveals Two-Pronged Machine Translation Roadmap

Part of the billions of dollars going into the Metaverse will undoubtedly go into these two areas of machine translation. Meta AI reveals its MT roadmap and the people working on it.

Academia, Machine Translation • By Marion Marking On 30 Oct 2020

MIT Tackles the Ultimate Low-Resource Machine Translation Challenge

MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) derives algorithm to handle lack of training data, making it easier to adopt current machine translation methods.

Machine Translation • By Seyma Albarino On 20 Oct 2020

Facebook Says This Is the Culmination of Years of Work in Machine Translation

The new machine translation model, trained on 2,200 language directions, builds on Facebook’s past research on parallel sentences not aligned with English.

Machine Translation • By Marion Marking On 15 Oct 2020

US Coast Guard Moves Ahead With Hyper-Ambitious “Language Translator” RFP

US Department of Homeland Security awards California startup in Phase 1 of RFP for “portable language translator.” Call for tenders still open until February 2021.

Machine Translation • By Marion Marking On 7 Jul 2020

TWB, Big Tech, Academia Take on Covid-19 Language Challenge

Collaboration between Amazon, Facebook, Google, Microsoft, etc., and Translators Without Borders aims to fight Covid-19 infodemic through machine translation research.

Machine Translation • By Tess MacDougall On 5 Mar 2020

US Coast Guard Opens RFP to Replace ‘Human Translator’ with ‘Portable Translator’

US Department of Homeland Security launches RFP for “portable language translator” device to replace “on-scene human translator.” Budget: USD 800,000.

Academia • By Esther Bond On 18 Nov 2019

The Winning Papers from the World’s Largest Natural Language Processing Conference

The world’s largest NLP conference, EMNLP, announces the winners of the 2019 awards for Best Paper, Best Paper Runner-Up, Best Demo Paper and Best Resource Paper.

Research & Reports • By Slator On 12 Sep 2019

Slator 2019 US Healthcare Interpreting Report

Slator’s 2019 report on the US healthcare interpreting market, analysis of the competitive landscape, buyer job titles, major hospital systems, and more actionable insights.

Machine Translation • By Esther Bond On 18 Jul 2019

What’s so Massive About Google’s Massively Multilingual Neural Machine Translation?

New research by Google AI explores multilingual NMT on an unprecedented scale. Good for low-resource languages, less so for the rest, results show.

Sponsored Content • By Gino Diño On 27 May 2019

As Neural Machine Translation’s Core Model Seems Settled, Focus Shifts to Products

At SlatorCon London 2019, Systran CEO Jean Senellart outlined the latest in NMT developments, called out some myths from vendors, and pointed out what’s missing from the industry.

Machine Translation • By Gino Diño On 25 Mar 2019

EU Awards USD 4.8m in Neural MT Grants for Low-Resource Languages

EU’s CEF grants 5 project proposals for the implementation, data collection, and integration of NMT for low-resource languages, a total of EUR 4.3m in funds.

low-resource languages

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