AI Dubbing Finds Traction, Translation Buyer’s Guide Published
NeuralGarage raises USD 1.45m, Papercup wins big with Bloomberg, large language models and their use in machine translation, and public sector RFPs for translation services.
machine translation
How Good Are Large Language Models at Machine Translation?
Very fluent but not yet highly accurate — this is how Google researchers describe machine translation performance of large language models versus state-of-the-art MT.
Not If, but When: Taking the Leap Into MT
Preview of what to expect at Intento’s Machine Translation Playbook Webinar on December 13, 2022. Nike, Stripe, GAP, AstraZeneca, NetApp share biggest takeaways from 2022; 2023 plans.
DeepL Taps Investors in Round Valuing Machine Translation Firm at USD 1 Billion — Reports
German tech darling DeepL said to be in final stretch of closing large venture capital-backed financing round, valuing machine translation firm at nearly USD 1bn.
Reader Polls: Should Translation Tests Be Multiple Choice?
How LSPs view Google Translation Hub, acceptable format of translation tests, growth expectations in media localization, impact of latest AI developments.
Slator Pro Guide: Finding Growth in Adjacent Services
Pro Guide for LSPs to identify growth opportunities in adjacent services. Profiles 15 adjacent services, analyzing barriers to entry, risks, and synergies.
Intento CEO Konstantin Savenkov on Best-Fit MT, Google Translation Hub, Generative AI
Intento CEO, Konstantin Savenkov, on improving best-of-breed custom machine translation platforms through automated post-editing features, and the state of machine translation.
How Europe’s Second Largest Bank Built Multilingual Machine Translation In-House
BNP Paribas, Europe’s second largest bank, applies domain adaptation for multilingual neural machine translation models — without excessive loss of knowledge across language pairs.
In Literary Translation, Humans Prefer Humans and Machines Prefer Machines
A literary translation experiment using Google Translate and paragraph alignment reveals only slight improvements in post-edited text versus professional human translations.
Tarjama Launches Free Machine Translation for Arabic Business Language
Tarjama launches first-ever machine translation engine for Arabic trained on business language data; spans financial, legal, health domains, and more.
Here Are the Language Highlights from the Popular ‘State of AI Report 2022’
Snapshot of the most interesting language technology highlights from the latest edition of the State of AI Report compiled by a group of venture capitalists and researchers.
Meta Reveals How ‘Toxic’ Machine Translation Can Be
Researchers from Meta suggest training-data curation as a means to reduce added toxicity in machine translation. Toxicity categories include profanity, insults, hate speech, bullying, etc.
Converting Any Pre-Trained MT Metric Into a Document-Level Metric — An Amazon Study
Researchers from Amazon present a simple procedure for extending pretrained machine translation evaluation metrics to the document level.
Slator Machine Translation Expert-in-the-Loop Report
60-page report on interaction between human experts and AI in translation production; includes AI-enabled workflows, adoption rates, postediting, pricing models.
Why Quality Estimation Should Be Fundamental to Machine Translation
What you need to know about machine translation quality estimation (MTQE) — from benefits and challenges to industry adoption — as discussed by Adam Bittlingmayer and Conchita Laguardia.
Google Unveils Plans to Translate Local News at Search On 22 Conference
At Search On 22, Google announced that users will be able to perform English searches of non-English news starting early 2023.
Researchers Experiment With Machine Translation to Simplify Medical Language
When researchers experimented with machine translation to simplify medical content for patients, the results were mixed but promising.
Indian Machine Dubbing Startup Dubdub Raises USD 1m
Machine dubbing startup, Dubdub, raises USD 1m in seed funding. Finds traction with marketing, creative agencies; sees “strong pull” from production houses, OTT.
DeepL in Hiring Spree as Machine Translation Juggernaut Takes on Localization Industry
An analysis of 300+ LinkedIn profiles associated with DeepL suggest the world's fastest-growing MT company has set its sights on enterprise localization and language services customers.
Can Machine Translation Facilitate Better Global Meetings in a Common Language?
Computer researchers at the University of Maryland experiment with machine translation to show how global meetings can be optimized.
AI Writing: Threat or Opportunity for Language Service Providers?
Natural language generation (NLG) startups can help content creators write copy in multiple languages. But are AI writers a threat or an opportunity for LSPs?
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