I was thinking about creating a glossary in bookdown and found out that there was already an issue about it. I like Yihui’s recommendation: use Pandoc’s definition lists.

I’ve written a post about rendering IPA symbols properly regardless of the output format of the R Markdown document. I implemented the ideas into an R package, linguisticsdown.

I was thinking about promoting reproducible research in Linguistics, or more precisely, how to attract people with no programming skills to have incentives to learn at least a bit programming, so that they have the ability to make their research more reproducible.

According to the post add your blog, adding one’s blog to R-bloggers isn’t easy at all, especially for people who use R Markdown to write posts and use Jekyll to generate static web page on GitHub.

在進行中文 Text Mining 前處理時，必須先經過斷詞處理。社群當中存在相當好的斷詞處理工具，如 jieba。但斷詞時常遇到一個問題：文本中重要的詞彙因為不常見於其它地方而被斷開，像是人物角色名稱。要處理這個問題，需將自訂詞庫提供給斷詞套件，才不會將重要詞彙斷開。

中文 Text Mining 的前處理比起其它以拉丁字母為主的文本困難許多，參考資源也相對龐雜不全。 這裡以較晚近出現的quanteda套件為根據，依其需求進行中文文本前處理

I’ve used R Markdown to do lots of work, such as writing a book, doing homework on statistics and ecology, and making web pages.

google 表單大幅降低蒐集問卷資料的難度；此外，表單將回應自動彙整成試算表更使分析資料變得非常容易。然而，google 表單缺乏一項重要的功能：即時將結果回饋給填寫者