<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Article-Journal | Mao-Chang Ku (古貿昌)</title><link>https://kumaochang.github.io/publication_types/article-journal/</link><atom:link href="https://kumaochang.github.io/publication_types/article-journal/index.xml" rel="self" type="application/rss+xml"/><description>Article-Journal</description><generator>HugoBlox Kit (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Wed, 01 Jan 2025 00:00:00 +0000</lastBuildDate><image><url>https://kumaochang.github.io/media/icon_hu_702a800cd775dbac.png</url><title>Article-Journal</title><link>https://kumaochang.github.io/publication_types/article-journal/</link></image><item><title>A Corpus-based Study of Causative Constructions in Paiwan</title><link>https://kumaochang.github.io/publications/journal-article/</link><pubDate>Wed, 01 Jan 2025 00:00:00 +0000</pubDate><guid>https://kumaochang.github.io/publications/journal-article/</guid><description>&lt;p&gt;This article provides a corpus-based study of causative constructions in Paiwan.&lt;/p&gt;</description></item><item><title>Empowering Elementary Learning: Utilizing Large Language Models to Craft Tailored Textbooks with Expert Insight</title><link>https://kumaochang.github.io/publications/journal-article-2/</link><pubDate>Wed, 01 Jan 2025 00:00:00 +0000</pubDate><guid>https://kumaochang.github.io/publications/journal-article-2/</guid><description>&lt;p&gt;This article explores using large language models with expert input to craft tailored textbooks for elementary learning.&lt;/p&gt;</description></item></channel></rss>