tatoeba2

Tatoeba is a platform whose purpose is to create a collaborative and open dataset of sentences and their translations. (by Tatoeba)

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NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a better tatoeba2 alternative or higher similarity.

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tatoeba2 reviews and mentions

Posts with mentions or reviews of tatoeba2. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2026-10-02.
  • Rebuilding a brain-to-text decoder: from 50% to 23.5% word errors
    2 projects | dev.to | 2 Oct 2026
    Tatoeba: https://tatoeba.org (English sentences, CC BY 2.0 FR)
  • Show HN: Mandarin Melon – A webapp for learning Chinese by reading social media
    1 project | news.ycombinator.com | 25 Mar 2026
    Nice job. I picked up a fair amount of Chinese when I was first learning it using the popular PTT Bulletin board system (批踢踢實業坊) in Taiwan, so it's a great way to learn.

    As far as the sentences by HSK level - I did something similar using Tatoeba [1], scraping all the Chinese/English pairs, matching them by HSK level (technically TOCFL level) and adding them to related Anki vocab cards back in the day. Can confirm it works quite well.

    [1] - https://tatoeba.org

  • The Whole App Is a Blob
    1 project | news.ycombinator.com | 15 Dec 2025
    Yes, the huge repository of raw materials is likely the hardest part. You can try crowdsourced collections ( https://tatoeba.org , https://datacollective.mozillafoundation.org/datasets?q=comm... , https://opus.nlpl.eu/OpenSubtitles/corpus/version/OpenSubtit... ) but you'll quickly run into data quality issues. My personal solution is to do manual data curation on the fly, but I think an app that occasionally throws up garbage and asks its users to pick out the good parts is unlikely to get popular.
  • EuroLLM: LLM made in Europe built to support all official 24 EU languages
    1 project | news.ycombinator.com | 28 Oct 2025
    Not a question, but - Tatoeba could use your help! It is an open source (both code and data) dataset of parallel sentences and their Maltese data is very lacking. Also it’s pretty fun to just translate a bunch of random sentences into a language you speak. :-)

    https://tatoeba.org/

  • The AI Revolution Is Crushing Thousands of Languages
    2 projects | news.ycombinator.com | 25 Apr 2024
    Alternate take, it can also help people learn niche languages if native speakers contribute to data sets. For example, I've been using Clozemaster for the past few months as a way to work on vocabulary on some languages, and they pull their dataset from Tatoeba [1]. I was very surprised to see that my father's native language, Kabylie, which is admittedly a somewhat niche language, is one of the top languages by sentence contribution in the dataset (over 700k entries, more than French or Spanish or German). I showed him the sentences once and he confirmed that yes, they all seem like what a native speaker would say. Not all of them have translations into other languages of course, and a lot of them are slight variations on each other, but some native speakers are there contributing. It's not currently an option to use in Clozemaster -- I'm guessing the TTS isn't really there -- but I totally could see these as gaps that are easily filled.

    Same with my wife's native language (Bengali). There are surprisingly few language learning resources for Bangla, even though it's the 7th most spoken language in the world. But there it is in the data set with TTS and the ability for Clozemaster to have ChatGPT "explain" what's going on in the sentence (a very useful feature for new speakers).

    Anyway, I don't view AI as good or bad, just another tool that we should be intentional about when we cultivate the data sets underlying the tool.

    [1] https://tatoeba.org

  • Where can I find reliable example sentences?
    1 project | /r/LearnJapanese | 27 May 2023
    Maybe on tatoeba.org with filters
  • Best vocab (not writing) app
    2 projects | /r/learnchinese | 10 May 2023
    I use both. I make a lot of my own cards so I get to focus on the vocab I want. Generally find a word I want to learn, use https://forvo.com/ to find native audio for it, then use https://tatoeba.org/ to find sentences use that word. Once you get a bit of practise it's pretty quick to make a word note, then make 2 or 3 sentence notes for it*. However I do use some pre-made decks like this set of sentence decks for each HSK level with native audio: https://ankiweb.net/shared/byauthor/933449107
  • Anyone else spend heaps of time searching for sentences for Anki?
    1 project | /r/languagelearning | 21 Mar 2023
    You can try tatoeba https://tatoeba.org but I don't know if it's good with arabic ...
  • GPT-4's toki pona capabilities
    1 project | /r/tokipona | 20 Mar 2023
    tatoeba if anything because that has sentences so at least a modicum of context
  • Is there an app or website where I can paste a word/phrase and get examples of how it’s used in a sentence?
    1 project | /r/languagelearning | 23 Feb 2023
    I use Tatoeba https://tatoeba.org : it's a collection of phrases with sometimes translations and audio recordings. You could use Forvo but it's only audio recordings.
  • A note from our sponsor - AppSignal
    www.appsignal.com | 7 Oct 2026
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3 months ago

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