TE
TechEcho
Home24h TopNewestBestAskShowJobs
GitHubTwitter
Home

TechEcho

A tech news platform built with Next.js, providing global tech news and discussions.

GitHubTwitter

Home

HomeNewestBestAskShowJobs

Resources

HackerNews APIOriginal HackerNewsNext.js

© 2025 TechEcho. All rights reserved.

Improving How Machine Translations Handle Grammatical Gender Ambiguity

2 pointsby gok7 months ago

1 comment

strangecasts7 months ago
Nifty! The preprint behind the article: <a href="https:&#x2F;&#x2F;arxiv.org&#x2F;abs&#x2F;2407.20438" rel="nofollow">https:&#x2F;&#x2F;arxiv.org&#x2F;abs&#x2F;2407.20438</a><p>Skimming the article I wonder how extensible the approach would be to other context-sensitive translations - the silly example that came to mind is whether to use <i>tu</i> or <i>vous</i> and the corresponding verb conjugations in French - as the algorithm described isn&#x27;t limited to binary categories