laserembeddings
wiktextract
laserembeddings | wiktextract | |
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2 | 7 | |
223 | 702 | |
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0.0 | 9.8 | |
9 months ago | 7 days ago | |
Python | Python | |
BSD 3-clause "New" or "Revised" License | GNU General Public License v3.0 or later |
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laserembeddings
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Firefox Translations doesn't use the cloud
You're pretty much right on the money. For ParaCrawl[1] (which I worked on) we used fast machine translation systems that were "good enough" to translate one side of each pair to the language of the other, see whether they'd match sufficiently, and then deal with all the false positives through various filtering methods. Other datasets I know of use multilingual sentence embeddings, like LASER[2], to compute the distance between two sentences.
Both of these methods have a bootstrapping problem, but at this point in the MT for many languages we have enough data to get started. Previous iterations of ParaCrawl used things like document structure and overlap of named entities among sentences to identify matching pairs. But this is much less robust. I don't know how they solve this problem today for low-resource languages.
[1] https://paracrawl.eu
[2] https://github.com/yannvgn/laserembeddings
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SpaCy v3.0 Released (Python Natural Language Processing)
I've been using LASER from Facebook Research via https://github.com/yannvgn/laserembeddings to accept multi-lingual input in front of the the domain-specific models for recommendations and stuff (that are trained on English annotated examples).
wiktextract
- Wiktionary dump file parser and multilingual data extractor
- How to Download All of Wikipedia onto a USB Flash Drive
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I built a dictionary app even with more than and300 apps available at AppStore
Great work
I'm working on similar dictionary app and found wiktionary insanely usable as dictionary source.
Here is one more project aiming to make wiktionary data usable as json data structure: https://github.com/tatuylonen/wiktextract.
It has a link to a site https://kaikki.org/ which hosts dictionary data dumps.
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Dynamically generating minimal pair decks for Anki
Hm, that would be a good idea... if I didn't have to download so much data (over 20GB for just audio?!). But, looking at the Python library that processed those dumps (https://github.com/tatuylonen/wiktextract), which is more manageable, using it would involve getting the WikiMedia dump file for every word on the list, then parsing them for the relevant data and what follows is mostly the same, except I end up with a bunch of cached files.
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What are some of the best digital free dictionaries available online (even for commercial use)?
Many parsers are available. https://github.com/tatuylonen/wiktextract
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Best Approach to importing a languages dictionary
I'd probably try pulling from Wiktionary, there looks to be a Python package that can do it here.
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This is not perfect but it's a start
And the json is built with https://github.com/tatuylonen/wiktextract whom I have to thank
What are some alternatives?
syntaxdot - Neural syntax annotator, supporting sequence labeling, lemmatization, and dependency parsing.
WiktionaryParser - A Python Wiktionary Parser
spaCy - 💫 Industrial-strength Natural Language Processing (NLP) in Python
Maat - Validation and transformation library powered by deductive ascending parser. Made to be extended for any kind of project.
BLINK - Entity Linker solution
trankit - Trankit is a Light-Weight Transformer-based Python Toolkit for Multilingual Natural Language Processing
projects - 🪐 End-to-end NLP workflows from prototype to production
zim-tools - Various ZIM command line tools
duckling - Language, engine, and tooling for expressing, testing, and evaluating composable language rules on input strings.
Kotoba - Quickly search the built-in iOS dictionary to see definitions of words. Collect words you want to remember.
rules - Durable Rules Engine
browsertrix-crawler - Run a high-fidelity browser-based crawler in a single Docker container