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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>A Benchmark for Learning to Translate a New Language from One Grammar Book · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2309.16575/</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/2309.16575/feed.xml" rel="self" type="application/rss+xml" /><item><title>A Benchmark for Learning to Translate a New Language from One Grammar Book — mentioned by glomgril</title><link>https://news.ycombinator.com/item?id=43687806</link><guid isPermaLink="false">urn:hackerpapers:mention:2309.16575:43687806</guid><pubDate>Tue, 15 Apr 2025 00:32:34 GMT</pubDate><description>&lt;p&gt;Check out this recent benchmark MTOB (Machine Translation from One Book) -- relevant to your comment, though the book does have parallel passages so not exactly what you have in mind: https://arxiv.org/pdf/2309.16575 In the case of non-human communication, I know there has been some fairly well-motivated theorizing about the semantics of individual whale vocalizations. You could imagine a first pass at something like this if the meaning of (say) a couple dozen vocalizations could be characterized with a reasonable degree of confidence. Super interesting domain that&amp;#x27;s ripe for some fresh…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2309.16575/"&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>A Benchmark for Learning to Translate a New Language from One Grammar Book — mentioned by visarga</title><link>https://news.ycombinator.com/item?id=42066570</link><guid isPermaLink="false">urn:hackerpapers:mention:2309.16575:42066570</guid><pubDate>Wed, 06 Nov 2024 18:10:18 GMT</pubDate><description>&lt;p&gt;I don&amp;#x27;t think &amp;quot;humans/animals learn faster&amp;quot; holds. LLMs learn new things on the spot, you just explain it in the prompt and give an example or two. A recent paper tested both linguists and LLMs at learning a language with less than 200 speakers and therefore virtually no presence on the web. All from a few pages of explanations. The LLMs come close to humans. https://arxiv.org/abs/2309.16575 Another example is the ARC-AGI benchmark, where the model has to learn from a few examples to derive the rule. AI models are closing the gap to human level, they are around 55% while humans are at 80%.…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2309.16575/"&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>A Benchmark for Learning to Translate a New Language from One Grammar Book — HN submission</title><link>https://news.ycombinator.com/item?id=40796282</link><guid isPermaLink="false">urn:hackerpapers:submission:2309.16575:40796282</guid><pubDate>Wed, 26 Jun 2024 04:07:24 GMT</pubDate><description>&lt;p&gt;A Benchmark for Learning to Translate a New Language from One Grammar Book&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/2309.16575/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.CL</category></item><item><title>A Benchmark for Learning to Translate a New Language from One Grammar Book — mentioned by abetusk</title><link>https://news.ycombinator.com/item?id=40796029</link><guid isPermaLink="false">urn:hackerpapers:mention:2309.16575:40796029</guid><pubDate>Wed, 26 Jun 2024 03:04:43 GMT</pubDate><description>&lt;p&gt;The paper in question is &amp;quot;A Benchmark for Learning to Translate a New Language from One Grammar Book&amp;quot; by Garrett Tanzer, Mirac Suzgun, Eline Visser, Dan Jurafsky, Luke Melas-Kyriazi [0]. [0] https://arxiv.org/abs/2309.16575&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2309.16575/"&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>A Benchmark for Learning to Translate a New Language from One Grammar Book — mentioned by sanxiyn</title><link>https://news.ycombinator.com/item?id=39886665</link><guid isPermaLink="false">urn:hackerpapers:mention:2309.16575:39886665</guid><pubDate>Sun, 31 Mar 2024 18:24:09 GMT</pubDate><description>&lt;p&gt;Considering MTOB(Machine Translation from One Book) result, where LLM in-context learns a new language from a grammar book, I wonder how LLMs fare given, say, GnuCOBOL Programmer&amp;#x27;s Guide PDF, which is easily available. It would be an interesting addition to the benchmark. https://arxiv.org/abs/2309.16575 https://gnucobol.sourceforge.io/guides.html&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2309.16575/"&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>
