witokit VS laserembeddings

Compare witokit vs laserembeddings and see what are their differences.

witokit

A Python toolkit to generate a tokenized dump of Wikipedia for NLP (by akb89)

laserembeddings

LASER multilingual sentence embeddings as a pip package (by yannvgn)
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witokit laserembeddings
1 2
9 223
- -
2.6 0.0
over 3 years ago 9 months ago
Python Python
MIT License BSD 3-clause "New" or "Revised" License
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witokit

Posts with mentions or reviews of witokit. We have used some of these posts to build our list of alternatives and similar projects.

laserembeddings

Posts with mentions or reviews of laserembeddings. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-11-29.
  • Firefox Translations doesn't use the cloud
    13 projects | news.ycombinator.com | 29 Nov 2022
    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

  • SpaCy v3.0 Released (Python Natural Language Processing)
    9 projects | news.ycombinator.com | 1 Feb 2021
    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).

What are some alternatives?

When comparing witokit and laserembeddings you can also consider the following projects:

wit - WIT (Wikipedia-based Image Text) Dataset is a large multimodal multilingual dataset comprising 37M+ image-text sets with 11M+ unique images across 100+ languages.

syntaxdot - Neural syntax annotator, supporting sequence labeling, lemmatization, and dependency parsing.

wiki_dump - A library that assists in traversing and downloading from Wikimedia Data Dumps and their mirrors.

spaCy - 💫 Industrial-strength Natural Language Processing (NLP) in Python

wikiteam - Tools for downloading and preserving wikis. We archive wikis, from Wikipedia to tiniest wikis. As of 2023, WikiTeam has preserved more than 350,000 wikis.

BLINK - Entity Linker solution

wp2git - Downloads and imports Wikipedia page histories to a git repository

wiktextract - Wiktionary dump file parser and multilingual data extractor

projects - 🪐 End-to-end NLP workflows from prototype to production

duckling - Language, engine, and tooling for expressing, testing, and evaluating composable language rules on input strings.

rules - Durable Rules Engine

kerning-pairs - The ultimate list of kerning pairs for type designers