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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Cross-lingual Language Model Pretraining · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1901.07291/</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/1901.07291/feed.xml" rel="self" type="application/rss+xml" /><item><title>Cross-lingual Language Model Pretraining — mentioned by amitness</title><link>https://news.ycombinator.com/item?id=23307811</link><guid isPermaLink="false">urn:hackerpapers:mention:1901.07291:23307811</guid><pubDate>Tue, 26 May 2020 05:46:13 GMT</pubDate><description>&lt;p&gt;I&amp;#x27;ve elaborated number 9. Please let me know if it&amp;#x27;s clear now. Some of these methods do. For example, the tasks that power word vectors apply for many languages. https://fasttext.cc/docs/en/crawl-vectors.html Masked Language Modeling has been applied to learn cross-lingual language models. Look into: https://arxiv.org/abs/1901.07291&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1901.07291/"&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>
