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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Generating Gender Alternatives in Machine Translation · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2407.20438/</link><description>Collected HN comments and submissions linking this paper.</description><language>en</language><lastBuildDate>Mon, 02 Nov 2026 11:16:22 GMT</lastBuildDate><atom:link href="https://hackerpaper.kaipfister.de/p/2407.20438/feed.xml" rel="self" type="application/rss+xml" /><item><title>Generating Gender Alternatives in Machine Translation — mentioned by strangecasts</title><link>https://news.ycombinator.com/item?id=41779104</link><guid isPermaLink="false">urn:hackerpapers:mention:2407.20438:41779104</guid><pubDate>Tue, 08 Oct 2024 16:29:14 GMT</pubDate><description>&lt;p&gt;Nifty! The preprint behind the article: https://arxiv.org/abs/2407.20438 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 tu or vous and the corresponding verb conjugations in French - as the algorithm described isn&amp;#x27;t limited to binary categories&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2407.20438/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CL</category></item></channel></rss>
