أرابيكا:سفارة/أرشيف 13

من أرابيكا، الموسوعة الحرة

هذه هي النسخة الحالية من هذه الصفحة، وقام بتعديلها عبود السكاف (نقاش | مساهمات) في 03:18، 8 يناير 2023 (استبدال الملف (R)-3-phenyl-cyclohanone.gif بالملف (R)-3-phenyl-cyclohexanone.gif). العنوان الحالي (URL) هو وصلة دائمة لهذه النسخة.

(فرق) → نسخة أقدم | نسخة حالية (فرق) | نسخة أحدث ← (فرق)
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أرشيف هذه الصفحة صفحة أرشيف. من فضلك لا تعدلها. لإضافة تعليقات جديدة عدل صفحة النقاش الأصيلة.
أرشيف 13

Please join the 2nd edition of the VisualEditor Translathon

Hello!

I'm pleased to announce the 2nd edition of the VisualEditor Translathon.

It is a translation rally, focused on interface messages and help pages related to VisualEditor. In order to participate, you need to sign up on the Translathon page on TranslateWiki.

The top 3 contributors will each win a Wikipedia t-shirt of their choice from the Wikipedia store[1]. Translations made between July 15th and July 19th (CDT time zone) qualify[2].

If you are at Wikimania Mexico this year, you are also welcome to join a related sprint during the hackathon in Workplace 1 - Don Américo, Thursday 16 July at 4pm (CDT) at the conference venue, so you can meet other fellow translators and get support if you need some.

Interface messages have the priority. You will need to create an account at translatewiki.net in order to work on them, if you don't have one. It is recommended to create the account ASAP, so that it can be confirmed in time.

You can also help translate documentation pages about VisualEditor on mediawiki.org. You can use your Wikipedia account to work there.

You will find instructions, links and other details on the Translathon page.

Thanks for your attention, and happy translating!
Elitre (WMF) 20:59، 13 يوليو 2015 (ت ع م)

  1. ^ You can choose between any short-sleeve shirt, or other items for the same value.
  2. ^ This means both new translations, and updates for messages in the "Outdated" tab of the translation interface.

Wikidata weekly summary #167

Tech News: 2015-30

<section begin="technews-2015-W30"/>

<section end="technews-2015-W30"/> 03:05، 21 يوليو 2015 (ت ع م)

Proposal to create PNG thumbnails of static GIF images

The thumbnail of this gif is of really bad quality.
How a PNG thumb of this GIF would look like

There is a proposal at the Commons Village Pump requesting feedback about the thumbnails of static GIF images: It states that static GIF files should have their thumbnails created in PNG. The advantages of PNG over GIF would be visible especially with GIF images using an alpha channel. (compare the thumbnails on the side)

This change would affect all wikis, so if you support/oppose or want to give general feedback/concerns, please post them to the proposal page. Thank you. --McZusatz (talk) & MediaWiki message delivery (نقاش) 05:08، 24 يوليو 2015 (ت ع م)

Wikidata weekly summary #168

Tech News: 2015-31

<section begin="technews-2015-W31"/>

<section end="technews-2015-W31"/> 15:05، 27 يوليو 2015 (ت ع م)

What does a Healthy Community look like to you?

Hi,
The Community Engagement department at the Wikimedia Foundation has launched a new learning campaign. The WMF wants to record community impressions about what makes a healthy online community. Share your views and/or create a drawing and take a chance to win a Wikimania 2016 scholarship! Join the WMF as we begin a conversation about Community Health. Contribute a drawing or answer the questions on the campaign's page.

Why get involved?

The world is changing. The way we relate to knowledge is transforming. As the next billion people come online, the Wikimedia movement is working to bring more users on the wiki projects. The way we interact and collaborate online are key to building sustainable projects. How accessible are Wikimedia projects to newcomers today? Are we helping each other learn?
Share your views on this matter that affects us all!
We invite everyone to take part in this learning campaign. Wikimedia Foundation will distribute one Wikimania Scholarship 2016 among those participants who are eligible.

More information


Happy editing!

MediaWiki message delivery (نقاش) 23:42، 31 يوليو 2015 (ت ع م)

Wikidata weekly summary #169

Tech News: 2015-32

<section begin="technews-2015-W32"/>

<section end="technews-2015-W32"/> 15:51، 3 أغسطس 2015 (ت ع م)

Wiki labels & Revision Scoring as a Service for Arabic Wikipedia

Hello Arabic Wikipedia,

I apologize for my complete lack of Arabic skills. I would most welcome if my post is translated to Arabic.

So computers are very good at crunching numbers.Du Your average calculator can out smart you in arithmetic. However computers are terrible at pretty much in everything else. Programming computers to under take any task no matter how simple beyond computing tends to be very difficult. This is where Artificial Intelligence comes in. With Artificial Intelligence we teach computers how to solve problems without explicit programming for the solution. This is what we are doing.

We are working on a project called m:Research:Revision scoring as a service which aims to provide quality control Artificial Intelligence infrastructure for Mediawiki and Wikimedia projects. We already have our system implemented and running on Azerbaijani, English, French, Indonesian, Persian, Portuguese, Spanish, Turkish and Vietnamese editions on Wikipedia. We are hoping to adapt our tool to serve Arabic language as well as a number of other languages.

We are currently mainly focusing on vandalism detection where we provide an API (m:ORES) that provides scores. We have made an effort to keep our system robust.

The examples I'll provide are based on a machine learning algorithm that was trained to use 20,000 reverted edits. This is kind of modelling is problematic for two reasons. First is, there are non-vandalism related reasons for edits to be reverted such as mistakes from new users, this would develop such an unproductive bias. Second problem would be it lacks the ability to distinguish good faith users from malicious ones. To demonstrate our system I will give three examples from English wikipedia. I have picked these three semi-random.

  • Score of 90% diff en:Moncef Mezghanni
    • As visible in the diff, it is clearly something that shouldn't be welcome on English wikipedia. Algorithms confidence also matches my human assessment.
  • Score of 75% diff en:Monin
    • When I look at the diff it isn't immediately clear to me if this should be reverted. Detailed look reveals that prior version had more neutral information, but new version at a glance isn't exactly clear cut vandalism, albeit spammy. Algorithms confidence drops just as my human assessment.
  • Score of 19% diff en:Curiosity killed the cat, but satisfaction brought it back
    • As visible in the diff this edit clearly improves the article. The algorithms confidence plummets as well. Algorithm is more confident that this edit should NOT be reveted.

We are also working towards a system for article quality where we use existing assessment by en:Wikipedia:Version 1.0 Editorial Teamto train our system. We only have this system on English wikipedia at the moment but we would be more than happy to expand to other language editions. I am uncertain if Arabic Wikipedia has a similar quality assessment scale. I have picked 5 random articles to demonstrate this.

Typical problem is that humans typically do not re-asses articles over time or articles are never assessed in the first place. Our system circumvents this problem by automating this.

We unfortunately lack language features such as bad words, informal words and stop words. This would be very helpful. We also need a localization of en:Wikipedia:Labels serving as our local landing page.

Once these are complete, we would like to start an edit quality campaign where we request the local community to hand code/label ~2000 revisions labeling them productive/damaging and good faith/bad faith. This would be similar to the campaign on English Wikipedia en:Wikipedia:Labels/Edit quality.

After this we will be able to generate scores for revisions that is usable by gadgets such as ScoredRevisions as well as (potentially) tools like huggle. If community desires it, it can even be used to create a local vandalism reversion bot.

So in a nutshell our algorithm relies on community input to support the community. Feel free to ask any questions. Either here, on meta or on IRC on the freenode server and #wikimedia-ai channel where we hang out. You can also reach us at https://github.com/wiki-ai

-- とある白い猫 chi? 19:39، 7 أغسطس 2015 (ت ع م)

User:OsamaK, do you think you can help with this? -- とある白い猫 chi? 19:40، 7 أغسطس 2015 (ت ع م)

Wikidata weekly summary #170