翻譯進度報告¶
Reporting features give insight into translation progress over a given period. A summary of contributions to any given component over time is provided. The reporting tool is found in the Insights menu of the dashboard, any translation component, or project:
Several reporting tools are available on this page, all of which can produce output in HTML, reStructuredText or JSON. The first two formats are suitable for embedding statistics into existing documentation, while JSON is useful for further processing of the data.
You can choose predefined periods or enter a custom date range. In that case, the contributions are counted at midnight – that means that it includes the starting date and excludes the ending date. You can sort the contributors in the output by their join date or the number of strings they have translated, in either ascending or descending order.
單字數¶
提示
Number of words is a metric widely used in Indo-European languages, but might not have a well-defined behavior for some Asian languages.
A word is any sequence of characters (letters, numerics, special characters) between whitespace (spaces, tabs, newlines). In the example string below, the word count is 9.
I've just realized that they have 5 %(color)s cats.
For plural strings, the number of words is counted as the sum of words for all plural forms.
For Chinese, Japanese, or Korean languages, the number of words is the number of CJK characters plus the number of words in non-CJK characters.
翻譯者聲譽¶
Generates a document usable for crediting translators — sorted by language and lists all contributors for a given language:
* Czech
* John Doe <john@example.com> (5)
* Jane Doe <jane@example.com> (1)
* Dutch
* Jane Doe <jane@example.com> (42)
提示
The number in parenthesis indicates the number of contributions in given period.
貢獻者統計¶
產生根據翻譯者姓名的已翻譯詞與字串的數量：
======================================== ======================================== ======================================== ======================== ======================== ======================== ======================== ======================== ======================== ======================== ======================== ======================== ======================== ======================== ======================== ======================== ======================== ======================== ======================== ======================== ======================== ======================== ======================== ======================== ======================== ======================== ========================
Name Email Date joined Count total Edits total Source words total Source chars total Target words total Target chars total Count new Edits new Source words new Source chars new Target words new Target chars new Count approved Edits approved Source words approved Source chars approved Target words approved Target chars approved Count edited Edits edited Source words edited Source chars edited Target words edited Target chars edited
======================================== ======================================== ======================================== ======================== ======================== ======================== ======================== ======================== ======================== ======================== ======================== ======================== ======================== ======================== ======================== ======================== ======================== ======================== ======================== ======================== ======================== ======================== ======================== ======================== ======================== ======================== ========================
John Done john@example.com 2025-03-13T14:08:02.681269+00:00 1 3 24 3 21 1 3 24 3 21 0 0 0 0 0 0 0 0 0 0 0 0 0 0
Jane Done jane@example.com 2025-03-01T11:00:00.000000+00:00 2 5 25 4 28 2 3 24 3 21 0 0 0 0 0 0 0 0 0 0 0 0 0 0
======================================== ======================================== ======================================== ======================== ======================== ======================== ======================== ======================== ======================== ======================== ======================== ======================== ======================== ======================== ======================== ======================== ======================== ======================== ======================== ======================== ======================== ======================== ======================== ======================== ======================== ======================== ========================
This can be useful if you pay your translators based on the amount of work done; it gives you various stats of translators’ work.
By default, repeated changes by the same translator on the same string are counted once for each stats variant in the selected report period. Choose All changes in the counting mode if you need every edit or approval to be counted separately.
All stats are available in four variants:
- Total
Overall number of all edited strings.
- New
Amount of newly translated strings which didn't have a translation before.
- Approved
Amount of strings approved in the review workflow (see 專門的檢閱者).
- Edited
Amount of edited strings which had a translation before.
The following metrics are available for each:
- Count
字串的數量。
- Edits
Amount of edited characters in the string, measured in Damerau–Levenshtein distance.
- Source words
來源字串中的單字數量。
- Source characters
來源字串中的字元數量。
- Target words
Amount of words in the translated string.
- Target characters
Amount of characters in the translated string.
翻譯者的加入日期也會被包含在報告中。
Use source-word metrics when comparing work across target languages, because the source text is shared while translated word counts differ by language.
成本估算¶
Estimates translation costs for the selected scope from source-word counts. It classifies strings as repetitions, exact translation memory matches, fuzzy translation memory matches, strings needing editing, or new strings, and then applies the configured rate percentage for each category.
The estimate uses Weblate translation memory matches and does not contact
external machine translation services. The base rate is the price per source
word. Category rates are percentages of that base rate; for example, 50
charges half of the base rate and 0 excludes that category from the total.