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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Grammar as a Foreign Language · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1412.7449/</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/1412.7449/feed.xml" rel="self" type="application/rss+xml" /><item><title>Grammar as a Foreign Language — mentioned by nl</title><link>https://news.ycombinator.com/item?id=10892380</link><guid isPermaLink="false">urn:hackerpapers:mention:1412.7449:10892380</guid><pubDate>Wed, 13 Jan 2016 04:52:17 GMT</pubDate><description>&lt;p&gt;Not the author, but I&amp;#x27;m guessing it uses an implementation of &amp;quot;Grammar as a Foreign Language&amp;quot;[1]. TensorFlow has a tutorial that gets you most of the way[2]. Edit: playing a bit I don&amp;#x27;t think it is doing this. I think it&amp;#x27;s using Word2Vec style vectors to build similar sentences, and calculating the probability of each and maybe the edit-cost to change. [1] http://arxiv.org/abs/1412.7449 [2] https://www.tensorflow.org/versions/master/tutorials/seq2seq...&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1412.7449/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CL</category></item><item><title>Grammar as a Foreign Language — HN submission</title><link>https://news.ycombinator.com/item?id=10243415</link><guid isPermaLink="false">urn:hackerpapers:submission:1412.7449:10243415</guid><pubDate>Sat, 19 Sep 2015 05:38:28 GMT</pubDate><description>&lt;p&gt;Grammar as a Foreign Language (Google Research)&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;1 point; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/1412.7449/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.CL</category></item></channel></rss>
