These are some multilingual dictionaries^[1] I made. They're designed to be useful to language learners. They have some cool features I haven't seen elsewhere.
1. you can see the frequency of each meaning of each word. For example, the french word "bois" commonly means "drink" and rarely means "wood": https://yap.town/d/french-to-english/bois/
2. Each meaning also comes with a huge number of example sentences, taken from "real" sources (movies mostly)
3. It also has definitions for common phrases and constructions. For example, "c'est" is technically two words in french, but you should just learn it as one unit, so it gets its own entry: https://yap.town/d/french-to-english/c-est/
You can also see a list of phrases for any language of interest: https://yap.town/d/french-to-english/top-1000-phrases/ . The phrases were discovered via the "unigram" tokenization algorithm (originally invented for training LLMs!)
Something remarkable about the phrases is that you can often understand the meaning of a sentence just from the meaning of each phrase in it. The concatenated phrases sometimes even form grammatical english. And of course, if the same phrase has multiple meanings, those are separated and have their own example sentences, just like the words do.
^[1]: And by "I", I mean I wrote code to ask an LLM to generate each dictionary entry.
ChadNauseam•1h ago
1. you can see the frequency of each meaning of each word. For example, the french word "bois" commonly means "drink" and rarely means "wood": https://yap.town/d/french-to-english/bois/
2. Each meaning also comes with a huge number of example sentences, taken from "real" sources (movies mostly)
3. It also has definitions for common phrases and constructions. For example, "c'est" is technically two words in french, but you should just learn it as one unit, so it gets its own entry: https://yap.town/d/french-to-english/c-est/
You can also see a list of phrases for any language of interest: https://yap.town/d/french-to-english/top-1000-phrases/ . The phrases were discovered via the "unigram" tokenization algorithm (originally invented for training LLMs!)
Something remarkable about the phrases is that you can often understand the meaning of a sentence just from the meaning of each phrase in it. The concatenated phrases sometimes even form grammatical english. And of course, if the same phrase has multiple meanings, those are separated and have their own example sentences, just like the words do.
^[1]: And by "I", I mean I wrote code to ask an LLM to generate each dictionary entry.