Korpora
Korean corpus repository (by ko-nlp)
trafilatura
Python & command-line tool to gather text on the Web: web crawling/scraping, extraction of text, metadata, comments (by adbar)
Korpora | trafilatura | |
---|---|---|
1 | 14 | |
645 | 2,935 | |
0.0% | - | |
0.0 | 8.7 | |
over 1 year ago | 5 days ago | |
Python | Python | |
Creative Commons Attribution 4.0 | Apache License 2.0 |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Korpora
Posts with mentions or reviews of Korpora.
We have used some of these posts to build our list of alternatives
and similar projects.
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Resources About Cross-Linguistic Relative Phoneme Frequency
- LDA (usually very expensive, but some options exist and in some cases you can google them to find them elsewhere for free): https://www.ldc.upenn.edu/ - Connecting with a university or looking at a linguistics lab's corpus holdings (some will host -- or freely acquired the corpus and therefore you can find it on the internet) - Some language-specific lists or collections: e.g. https://warwick.ac.uk/fac/soc/al/repository/staff/harrisontilly/corpora-for-workshop/, https://github.com/ko-nlp/Korpora , https://guides.uflib.ufl.edu/frenchlinguistics/corpora - Some larger overviews, which may contain links: e.g. https://www.clarin.eu/resource-families/corpora-academic-texts , https://libguides.reed.edu/linguistics/datasets-corpora - Some larger projects to create (often text-based) corpora for multiple languages (often for NLP): e.g. https://www.sketchengine.eu/documentation/tenten-corpora/
trafilatura
Posts with mentions or reviews of trafilatura.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-08-14.
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Trafilatura: Python tool to gather text on the Web
The feature list answers that question pretty well: https://github.com/adbar/trafilatura#features
Basically: you could implement all of this on top of BeautifulSoup - polite crawling policies, sitemap and feed parsing, URL de-duplication, parallel processing, download queues, heuristics for extracting just the main article content, metadata extraction, language detection... but it would require writing an enormous amount of extra code.
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Show HN: Build AI Dags with Memory; Run and Validate LLM Tools in Containers
The WebScraper tool uses Trafilatura [1] to scrape and parse HTML—nothing too fancy. "Scraping" a React site would require a totally different approach, probably something more akin to Adept's ACT-1 [2].
I run a local chat app built with Griptape and I use it to give me summaries of web pages or answer specific questions all the time :)
1. https://github.com/adbar/trafilatura/
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Powerful and free scraper with a headless browser under the hood and Readability for parsing
I've been playing with Trafilatura lately, and it's very good. There are a few very thorough comparisons to other projects and it really shines. It doesn't do anything headless from what I can tell, but it doesn't have to do the scraping itself. Maybe an option could be to use Playwright to scrape, then Trafilatura to parse. Food for thought.
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I made a Chrome Extension that lets you ask any question about the page you are on (bluf.ai)
Cool! If you care to explain me further... :) ... I tried parsing a page using: https://github.com/adbar/trafilatura, json stringify it and passing it to https://platform.openai.com/docs/api-reference/embeddings/create. How do I use the response as an input later? <3
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Testing fast installation in tear-down environment
I want to test how easy it is to install a package plus special extra dependencies to run a certain script in that package: https://github.com/adbar/trafilatura
- Advice on standard design pattern for comparison test script
- Automate dependency installation
- Issue with sklearn
- Questions about some code
- How does Firefox's Reader View work?