BiglyBT: Yoruba translation #15: 1,340 words

in #utopian-io5 years ago

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Repository

GitHub

Crowdin

Project Details

BiglyBT is a fast, cross-platform torrent client based on the Vuze - Azureus project. BiglyBT continues from where Vuze development stalled and will always optimize the code and always release new features. The torrent client is without any commercial interests and is determined to keep the open source project alive.
BiglyBT is currently available on all major desktop platforms, including Windows, MacOS and Linux. The target user are people who love to delve into the world of torrenting. BiglyBT should appeal to a wide range of users, especially the more seasoned torrent user who wants a client they can configure to their liking.

Contribution Specifications

  • Translation Overview
    This is my fifteenth translation report on the BiglyBT project. Check out the previous reports: first, second, third, fourth, fifth, sixth, seventh, eighth, ninth, tenth, eleventh, twelfth, thirteenth and fourteenth. Working on this project is really helpful to me, as there are lots of things to learn, which wouldn't have been possible without this kind of opportunity. Honestly I am enjoying working on the project because it has helped me know more about torrenting. It contains a lot of computing words which require a high level of understanding in computing because the literal meaning of the words are totally different from what they mean in computing. So one needs to first understand the meaning of the words as they are being used in the computing world so as to get a perfect translation.
    All the words were translated from English to Yoruba Language except for few words that have to remain like Torrent, IP, hash, Google, Data, Meta, JSON, LAN, Bing, Insert, Swarm, GTK2, GTK3, Sash, Tor, and so on.
    I tried to maintain consistency while ensuring the best semantics translation that perfectly carries the message contained in the source language is conserved.
    New words I came across in this session include Scope, native, Bing, Comply, Copyright, territory, licensed, Members, Sash, Sequential, mitigate, Fit, whitelist, Consecutive, tolerance, indent, width, and so on.

  • Activity Overview
    The project's translatable texts are a total of 27,919 words and in this session which is my fifteenth session, I was able to translate 1,340 words making an overall translated 20,664 words (74% of the total). The project should be completed in 20 sessions approximately (~5 left).

Screenshot_20190726-221048_1564175478118.png

  • Languages
    Source language: English
    Target language: Yoruba

  • Word Count
    I translated a total of 1,340 words from the source language to a total of 1,836 words of the target language as estimated and shown in the picture above.

Proof of Authorship

My Crowdin profile

My Github Profile

My activity link

Crowdin project link

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Hello @fatherfaith, thank you for this contribution.

  • This is a good post presentation. It includes sufficient information to review your translation.
  • You have done a decent work. However, I noticed some typographical errors. I also observed an error that could have been prevented if you checked the comment box. The Project Manager explained how the particular string should be translated. You can surely improve in your next work.

Your contribution has been evaluated according to Utopian policies and guidelines, as well as a predefined set of questions pertaining to the category.

To view those questions and the relevant answers related to your post, click here.


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Thank you for your review, @zoneboy! Keep up the good work!

Hey, @fatherfaith!

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