AnkiWeb
- Rating
- 12 (👍 12 · 👎 0)
- Updated
- 2024-09-12
- Anki versions
- 24.06.3~
- Description language
- en
AnkiWeb addon 831327139
Performs multiple similar Anki searches at once from words or text, showing combined results with filtering, new-note addition, and browser navigation arrows.
Open on AnkiWeb GitHub Ask about alternatives
abandoned
| Min Anki | Max Anki | Updated |
|---|---|---|
| 2.1.49 | 24.06.3+ | 2024-09-12 |
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Inserts Unicode symbols into Anki cards via predefined key sequences, with customizable symbol lists synced per profile and optional raw HTML support.
Highlights browser search matches inside Anki notes, supports the full search language with auto-scroll, scrollbar indicators, code-view matches, and settings.
Enhances the browser with improved multi-selection, tag-level columns, card states, history, localization, and card info tools.
Adds a second pane to the Add dialog for PDF reading, note-taking, searching, and managing a reading queue, updated for Anki 25.04+.
Finds and removes duplicate notes across multiple note types using custom multi-field matching criteria and keep rules for oldest, newest, or longest interval.
Click or drag words or phrases on Anki cards to show floating Google, Images, YouTube, or custom-site icons that open browser searches.
Natural Language Inflection in English<br> (Formerly called Inflexion)
The Inflex module is a rule-based morphological analyser and generator. It allows for conversions of any noun, verb or adjective to a specific wordform such as singular, plural, past, past participle or present participle.
Inflex can be tried out and compared against competitors including nltk, textblob, pattern, inflect, inflection, inflector, lemminflect, and pyinflect on https://www.tomaarsen.com/projects/inflex/try. Furthermore, the comparison of performance of all of these modules is visualised on https://www.tomaarsen.com/projects/inflex/performance, using several different datasets. These results show that Inflex outperforms all existing modules for noun conversions, and performs competitively for verbs. This website also contains the thesis out of which Inflex (formerly called Inflexion) was born.
The Inflex documentation can be found here, alongside a Quick Reference.
To give a quick idea of this project, this is an example usage of Inflex:
from inflex import Noun, Verb, Adjective
# Converting Nouns
Noun("book").plural() # Produces "books"
Noun("book").singular() # Produces "book"
# Converting Verbs
Verb("fly").plural() # Produces "fly"
Verb("fly").singular() # Produces "flies"
Verb("fly").past() # Produces "flew"
Verb("fly").pres_part() # Produces "flying"
Verb("fly").past_part() # Produces "flown"
# Converting Adjectives
Adjective("my").singular() # Produces "my"
Adjective("our").plural() # Produces "our"
Adjective("small").comparative() # Produces "smallest"
Adjective("small").superlative() # Produces "smaller"
Inflex has no requirements, and has support for Python version 3.6 onwards.<br> Install it via:
pip install inflex