W3schools.com has a CSS library that’s quite nice. I often use Bootstrap; but I like some of the visual features here better. For example, I like their tags because they have more flexible use of colour.
If you want to fetch from a Python dictionary, but you need a default value, this is how you do it:
upos_badge = {'noun': 'lime','verb': 'amber', 'adv': 'blue',} badge_class_postfix = upos_badge.get(value.lower(), 'light-grey') I recently learned about DeepL as an alternative to Google Translate.
Recently I hit an extra digit when setting up a custom new card session and was stuck with hundreds of new cards to review. Desparate to fix this, I started poking around the Anki collection SQLite database, I found the collection data responsible for the extra cards. In the col table, find the newToday key and you’ll find the extra card count expressed as a negative integer. Just change that to zero and you’ll be good.
There’s a phenomenon that verteran Anki users are familiar with - the so-called “Anki hell” or “ease hell.”
Origins of ease hell The descent into ease hell has to do with the way Anki handles correct and incorrect answers when it presents cards for review. Ease is a numerical score associated with every card in the database and represents a valuation of the difficulty of the card. By default, when cards graduate from the learning phase, an ease of 250% is applied to the card.
In a previous post I described macros to support certain tasks in generating source material for L2 chorus repetition practice. Today, I’ll describe two other macros that automate this practice by slowing the playback speed of the repetition.
Background I’ve described the rationale for chorus repetition practice in previous posts. The technique I describe here is to slow the sentence playback speed to give the learner time to build speed by practicing slower repetitions.
Achieving fluid, native-quality speech in a second language is difficult task for adult learners. For several years, I’ve used Dr. Olle Kjellin’s method of “chorus repetition” for my Russian language study. In this post, I’m presenting a method for scripting Audacity to facilitate the development of audio source material to support his methodology.
Background For detailed background on the methodology, I refer you to Kjellin’s seminal paper “Quality Practise Pronunciation with Audacity - The Best Method!
This is an update to my previous post on automating iTunes on macOS to support chorus repetition practice. You can read the original post for the theory behind the idea; but in short, one way of developing prosody and quality pronunciation in a foreign language is to do mass repetitions in chorus with a recording of a native speaker.
Because in macOS 10.15, iTunes is no more, I’ve updated the script to work with the new Music app.
In Anki 2.1, it’s practically impossible to get plain text from the web into note fields. A solution (on macOS, at least)…
An AppleScript to create year and month groups in DEVONthink
A method of searching the official Russian language National Corpus using Python and SQLite.
Regex 101 is a great online regex tester.
Speaking of regular expressions, for the past year, I’ve used an automated process for building Anki flash cards. One of the steps in the process is to download Russian word pronunciations from Wiktionary. When Wiktionary began publishing transcoded mp3 files rather than just ogg files, they broke the URL scheme that I relied on to download content. The new regex for this scheme is: (?