v0.5

• The way 'word familiarity' is calculated has changed a bit. It should be more accurate, but will also drop the amount of mature words a bit in most cases.
• Reviewed cards that are due and suspended are now also devalued based on being 'due' the same way their non-suspended count parts are. This makes all reviewed cards that are overdue less important over time (suspended or not). suspended_card_value and suspended_leech_card_value are applied on top of this.
• The default word frequency lists are now generated using a combination of sources and should have much less 'source bias' and 'pollution' in most cases.
• Support for AnkiMorphs 'priority files'.
• FrequencyMan now comes with a default ignore list (ignore_candidates.txt), which can be found in default_wf_lists/. This file contains words most found across different languages (words such as 'FBI', 'Steve', 'cool' etc.).
• Words from 'name lists' and 'ignore lists' can now be filtered by as 'ignored words' in the 'Word overview' tab.

v0.4.3

 "version v0.4.3"

v0.4.2

• Added support for names lists (like an ignore list, but 'global').
• Toolbar items now opens 'word overview' tab.

v0.4.1

• Fixed unnecessary open db connection, causing issues with updating (#17).

v0.4

• New tab "Words overview".
• Added contractions to the default English word frequency list (manually copying en.txt from default_wf_lists/ is required if you want to use the updated version).
• Improved handling of high ivl and hight reps for familiarity score.
• The curly apostrophe is now normalized when tokenizing.

v0.3.1

• Fixed error when both ankimorphs-chinese-jieba and ankimorphs-japanese-mecab are used as tokenizers.

v0.3

• Absolute values are now used for 'word frequency', allowing the use of word frequency lists with significant size differences. This change will also affect lexical_underexposure.
• Changed how ideal_focus_word_count and reinforce_learning_words are calculated.

v0.2.10

• Made reinforce_learning_words and lowest_fr_least_familiar_word biased towards the lowest field score.
• Increased default weight for ideal_focus_word_count and reinforce_learning_words.
• Decreased default weight for familiarity_sweetspot.

v0.2.9

• Ranking factor proper_introduction_dispersed now disperses notes exponentially.
• Ranking factor ideal_word_count is now a bit more impactful.
• Overdue cards are now devalued when calculating word familiarity.

v0.2.8

• The way ranking scores are handled has changed a bit.
• Default ranking factors weights have changed to compensate and to improve the bias toward easy cards in new decks.
• New ranking factor new_words added, to complement no_new_words.
• proper_introduction_dispersed now also effects cards without new words.