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Translation status

930 Strings 97%
Browse Translate
9,568 Words 93%
67,803 Characters 93%

Strings status

Strings Words Characters
930 9,568 67,803
All strings Browse Translate Zen
911 8,931 63,559
Translated strings Browse Translate Zen
911 8,931 63,559
Strings waiting for review Browse Translate Zen
19 637 4,244
Unfinished strings Browse Translate Zen
19 637 4,244
Strings marked for edit Browse Translate Zen
1 2 10
Strings with suggestions Browse Translate Zen
19 637 4,244
Unfinished strings without suggestions Browse Translate Zen
97 1,873 13,410
Strings with any failing checks Browse Translate Zen
95 1,848 13,266
Translated strings with any failing checks Browse Translate Zen
15 22 129
Failing check: Unchanged translation Browse Translate Zen
1 17 113
Failing check: Starting spaces Browse Translate Zen
5 15 91
Failing check: Trailing space Browse Translate Zen
1 12 214
Failing check: Double space Browse Translate Zen
64 810 5,366
Failing check: Mismatched full stop Browse Translate Zen
3 19 105
Failing check: Mismatched colon Browse Translate Zen
1 5 28
Failing check: Mismatched question mark Browse Translate Zen
3 13 60
Failing check: Mismatched exclamation mark Browse Translate Zen
1 7 45
Failing check: Mismatched semicolon Browse Translate Zen
5 897 6,628
Failing check: Mismatching line breaks Browse Translate Zen
1 54 422
Failing check: XML syntax Browse Translate Zen
6 772 5,787
Failing check: XML markup Browse Translate Zen

Other components

Component Approved Translated Unfinished Unfinished words Unfinished characters Untranslated Checks Suggestions Comments
Global i18n 0% 86% 91 669 4,673 52 69 0 0
Official 0% 91% 66 1,387 9,976 6 177 0 0
Official Navbar 0% 98% 1 1 4 1 11 0 0
Official Footer 0% 95% 2 40 818 1 20 0 0
Browse all components

Overview

Project website app.immersivetranslate.com
Instructions for translators

Immersive Translate Document Translation
Project maintainers User avatar theowenyoung User avatar zhoulink90 User avatar marshmolly2b
Translation process
  • Translations can be made directly.
  • Translation suggestions can be made.
  • Translations are reviewed by dedicated reviewers.
  • Any authenticated user can contribute.
  • The translation uses monolingual files.
  • The translation base language is editable.
Source code repository git@github.com:immersive-translate/site.git
Repository branch main
Last remote commit update pseo ca601475c
User avatar FattySpring authored yesterday
Last commit in Weblate Translated using Weblate (Chinese (Simplified)) 834d4e95d
Anonymous authored 3 months ago
Weblate repository https://weblate.immersivetranslate.com/git/immersive-document-translation/immersive-translate-site/
File mask app/src/i18n/*.json
Monolingual base language file app/src/i18n/en.json
Translation file Download app/src/i18n/zh-TW.json
Last change May 22, 2026, 9:13 a.m.
Last author None
8 days ago

String statistics

Strings percent Hosted strings Words percent Hosted words Characters percent Hosted characters
Total 930 9,568 67,803
Approved 0% 0 0% 0 0% 0
Waiting for review 97% 911 93% 8,931 93% 63,559
Translated 97% 911 93% 8,931 93% 63,559
Needs editing 2% 19 6% 637 6% 4,244
Read-only 0% 0 0% 0 0% 0
Failing checks 10% 97 19% 1,873 19% 13,410
Strings with suggestions 1% 1 1% 2 1% 10
Untranslated strings 0% 0 0% 0 0% 0
Last 12 months Previous

Activity in last 12 months

0 changes 188 changes 0 changes 79 changes 467 changes 62 changes 18 changes 49 changes 17 changes 73 changes 6 changes 31 changes 0 changes 61 changes 0 changes 48 changes 0 changes 41 changes 0 changes 80 changes 288 changes 46 changes 0 changes 4 changes
May Jun Jul Aug Sep Oct Nov Dec Jan Feb Mar Apr

Quick numbers

9,568
Hosted words
930
Hosted strings
97%
Translated
1
Contributors
and previous 30 days

Trends of last 30 days

+1%
Hosted words
+100%
+1%
Hosted strings
+100%
—
Translated
+97%
—
Contributors
+100%
User avatar None

Resource updated

  1. Immersive Translate Site
  2. Immersive Translate Document App
  3. Chinese (Traditional)
The “app/src/i18n/zh-TW.json” file was changed. 8 days ago
User avatar None

String added in the repository

  1. Immersive Translate Site
  2. Immersive Translate Document App
  3. Chinese (Traditional)
Collapse translation settings
收起翻譯設置
8 days ago
User avatar None

String added in the repository

  1. Immersive Translate Site
  2. Immersive Translate Document App
  3. Chinese (Traditional)
More translation settings
更多翻譯設置
8 days ago
User avatar None

Resource updated

  1. Immersive Translate Site
  2. Immersive Translate Document App
  3. Chinese (Traditional)
The “app/src/i18n/zh-TW.json” file was changed. a month ago
User avatar None

String updated in the repository

  1. Immersive Translate Site
  2. Immersive Translate Document App
  3. Chinese (Traditional)
We currently use a "translation quota" based billing method, detailed as follows:<br/><br/><ul><li>Translation quotas are charged based on the number of <b>Tokens</b> used during the translation process.</li><li>The <b>GLM-4-Flash-250414</b> model is available to all users, and every BabelDOC user receives a monthly quota of 500,000 Tokens for free model translations within BabelDOC. (Actual availability depends on the supply from upstream providers, and quotas are dynamically adjusted based on server load)</li><li>The <b>Qwen3.5-Plus/DeepSeek-V4-Flash/doubao-seed-2-0-lite/Kimi+Qwen/Kimi+DeepSeek/GLM-4.7</b> models are exclusively for <b>Pro/Max</b> members, counted towards the members' general translation quota. Pro members enjoy up to <b>20 million Tokens</b> per month, while Max members enjoy up to <b>50 million Tokens</b> per month. Failed translations are not counted towards the quota.</li></ul><br/>At the start of a translation task, the system will deduct the general translation quota in advance based on "3000 Tokens × number of pages". Once the translation is complete, we will settle based on actual consumption, refunding any excess to your account or requesting additional tokens if there is a shortfall. If any system errors occur during the translation, all pre-deducted general translation quotas will be fully refunded to your account. When the automatic term extraction feature is not enabled, the pre-deduction per page is 3000 Tokens/page. When the automatic term extraction feature is enabled, the pre-deduction per page is 6000 Tokens/page.<br/><br/>From actual usage statistics, when automatic term extraction is enabled, the average consumption is about 7381.56 Tokens per page, with the P25–P75 range being 4215.42–9490.89 Tokens; when automatic term extraction is disabled, the average consumption is about 4702.98 Tokens per page, with the P25–P75 range being 2642.38–5797.40 Tokens. Here, P25 (the 25th percentile) indicates that 25% of the pages consume fewer Tokens than this value, and P75 (the 75th percentile) indicates that 75% of the pages consume fewer Tokens than this value. The P25–P75 range is used to describe the common consumption range for most pages, thereby reducing the impact of extreme samples on the overall assessment.
我們目前採用基於「翻譯額度」的計費方式，具體說明如下：

<ul><li>翻譯額度按照翻譯過程中使用的 <b> Token 數量 </b> 進行計費。</li><li><b> GLM-4-Flash-250414 </b> 模型所有用戶可用，所有 BabelDOC 用戶每月可獲得 50 萬 Token 額度，用來在 BabelDOC 中使用免費模型翻譯文件。（實際可用性取決於上游供應商的供應情況，額度根據伺服器負載動態調整）</li><li><b> Qwen3.5-Plus/DeepSeek-V3.24-Flash/doubao-seed-2-0-lite/Kimi+Qwen/Kimi+DeepSeek/GLM-4.7 </b> 模型僅限 <b> Pro/Max </b> 會員使用，計入會員通用翻譯額度，Pro 會員每月可享受 <b> 高達 2000 萬 Token </b> 的翻譯額度，Max 會員每月可享受 <b> 高達 5000 萬 Token </b> 的翻譯額度。失敗的翻譯不計入翻譯額度。</li></ul>

在翻譯任務啟動時，系統將根據"3000 Token × 翻譯頁數"的計算方式預先扣除相應的通用翻譯額度。待翻譯完成後，我們將按實際消耗進行結算，多餘額度將退還至您的賬戶，不足部分則需補充。若翻譯過程中遇到任何系統錯誤，所有預扣的通用翻譯額度將自動全額返還至您的賬戶。當不啟用自動提取術語時，單頁預扣 Token 數為 3000 Token/頁。當啟用自動提取術語功能時，單頁預扣 Token 數為 6000 Token/頁。<br/><br/>從實際使用統計來看，啟用自動術語提取時，平均每頁約消耗 7381.56 Token，其中 P25–P75 區間為 4215.42–9490.89 Token；關閉自動術語提取時，平均每頁約消耗 4702.98 Token，P25–P75 區間為 2642.38–5797.40 Token。其中，P25（第 25 百分位）表示有 25% 的頁面 Token 消耗低於該值，P75（第 75 百分位）表示有 75% 的頁面 Token 消耗低於該值，P25–P75 區間可用於描述大多數頁面的常見消耗範圍，從而減少極端樣本對整體評估的干擾。
a month ago
User avatar None

String updated in the repository

  1. Immersive Translate Site
  2. Immersive Translate Document App
  3. Chinese (Traditional)
We currently use a "translation quota" based billing method, detailed as follows:<br/><br/><ul><li>Translation quotas are charged based on the number of <b>Tokens</b> used during the translation process.</li><li>The <b>GLM-4-Flash-250414</b> model is available to all users, and every BabelDOC user receives a monthly quota of 500,000 Tokens for free model translations within BabelDOC. (Actual availability depends on the supply from upstream suppliers, and quotas are dynamically adjusted based on server load)</li><li>Models such as <b>Qwen3.5-Plus/DeepSeek-V4-Flash/doubao-seed-2-0-lite/GPT-5-mini/Gemini-3-Flash/Kimi+Qwen/Kimi+DeepSeek/GLM-4.7</b> are exclusively for <b>Pro/Max</b> members, counted towards the members' general translation quota. Pro members enjoy up to <b>20 million Tokens</b> per month, while Max members can enjoy up to <b>50 million Tokens</b> per month. Failed translations are not counted towards the translation quota.</li></ul><br/>At the start of a translation task, the system will deduct the general translation quota in advance based on the calculation of "3000 Tokens × number of pages". Once the translation is complete, we will settle based on actual consumption, refunding any excess to your account, or requiring additional if insufficient. If any system errors occur during the translation, all deducted general translation quotas will be fully refunded to your account. When the automatic term extraction feature is not enabled, the deduction per page is 3000 Tokens/page. When the automatic term extraction feature is enabled, the deduction per page is 6000 Tokens/page.<br/><br/>From actual usage statistics, when automatic term extraction is enabled, the average consumption is about 7381.56 Tokens per page, with the P25–P75 range being 4215.42–9490.89 Tokens; when automatic term extraction is disabled, the average consumption is about 4702.98 Tokens per page, with the P25–P75 range being 2642.38–5797.40 Tokens. Here, P25 (the 25th percentile) indicates that 25% of the pages consume fewer Tokens than this value, and P75 (the 75th percentile) indicates that 75% of the pages consume fewer Tokens than this value. The P25–P75 range is used to describe the common consumption range for most pages, thereby reducing the impact of extreme samples on the overall assessment.
我們目前採用基於「翻譯額度」的計費方式，具體說明如下：

<ul><li>翻譯額度按照翻譯過程中使用的 <b> Token 數量 </b> 進行計費。</li><li><b> GLM-4-Flash-250414 </b> 模型所有用戶可用，所有 BabelDOC 用戶每月可獲得 50 萬 Token 額度，用來在 BabelDOC 中使用免費模型翻譯文件。（實際可用性取決於上游供應商的供應情況，額度根據伺服器負載動態調整）</li><li><b> Qwen3.5-Plus/DeepSeek-V3.24-Flash/doubao-seed-2-0-lite/GPT-5-mini/Gemini-3-Flash/Kimi+Qwen/Kimi+DeepSeek/GLM-4.7 </b> 模型僅限 <b> Pro/Max </b> 會員使用，計入會員通用翻譯額度，Pro 會員每月可享受 <b> 高達 2000 萬 Token </b> 的翻譯額度，Max 會員每月可享受 <b> 高達 5000 萬 Token </b> 的翻譯額度。失敗的翻譯不計入翻譯額度。</li></ul>

在翻譯任務啟動時，系統將根據"3000 Token × 翻譯頁數"的計算方式預先扣除相應的通用翻譯額度。待翻譯完成後，我們將按實際消耗進行結算，多餘額度將退還至您的賬戶，不足部分則需補充。若翻譯過程中遇到任何系統錯誤，所有預扣的通用翻譯額度將自動全額返還至您的賬戶。當不啟用自動提取術語時，單頁預扣 Token 數為 3000 Token/頁。當啟用自動提取術語功能時，單頁預扣 Token 數為 6000 Token/頁。<br/><br/>從實際使用統計來看，啟用自動術語提取時，平均每頁約消耗 7381.56 Token，其中 P25–P75 區間為 4215.42–9490.89 Token；關閉自動術語提取時，平均每頁約消耗 4702.98 Token，P25–P75 區間為 2642.38–5797.40 Token。其中，P25（第 25 百分位）表示有 25% 的頁面 Token 消耗低於該值，P75（第 75 百分位）表示有 75% 的頁面 Token 消耗低於該值，P25–P75 區間可用於描述大多數頁面的常見消耗範圍，從而減少極端樣本對整體評估的干擾。
a month ago
User avatar None

String updated in the repository

  1. Immersive Translate Site
  2. Immersive Translate Document App
  3. Chinese (Traditional)
All users currently have access to the GLM-4-Flash-250414 model for translation, while Pro users can also choose to use the Qwen3.5-Plus/DeepSeek-V4-Flash/doubao-seed-2-0-lite/GPT-5-mini/Gemini-3-Flash/Kimi+Qwen/Kimi+DeepSeek/GLM-4.7 models for translation, subject to actual availability.

After comparison, we found that Kimi-K2.5 is effective in extracting terminology, hence we are introducing the "Kimi + Qwen" and "Kimi + DeepSeek" translation services:

If you choose the "Kimi + Qwen" translation service and enable automatic terminology extraction, Kimi-K2.5 will be used to extract terminology, and Qwen3.5-Plus will be used to complete the text translation. All related consumption will be counted towards Qwen usage. (Limited time test)

If you choose the "Kimi + DeepSeek" translation service and enable automatic terminology extraction, Kimi-K2.5 will be used to extract terminology, and DeepSeek-V4-Flash will be used to complete the text translation. All related consumption will be counted towards DeepSeek usage. (Limited time test)

Since BabelDOC uses a backend translation architecture, all translation logic is executed on the server side, independent of the translation engine used by the plugin. Therefore, the range of translation engines available for BabelDOC differs from those available for immersive translation plugins, and BabelDOC only supports certain advanced translation models, not all advanced models are available.
所有用戶目前均可使用 GLM-4-Flash-250414 模型進行翻譯，而 Pro 用戶還可額外選擇使用 Qwen3.5-Plus/DeepSeek-V3.24-Flash/doubao-seed-2-0-lite/GPT-5-mini/Gemini-3-Flash/Kimi+Qwen/Kimi+DeepSeek/GLM-4.7 模型（以實際可選模型為準）進行翻譯。

經過對比我們發現 Kimi-K2.5 提取術語效果較好，因此推出“Kimi + Qwen”和“Kimi + DeepSeek”翻譯服務：

若選擇“Kimi + Qwen”翻譯服務，且啟用自動術語提取，則會使用 Kimi-K2.5 提取術語，並使用 Qwen3.5-Plus 完成文字翻譯。相關消耗均會計入 Qwen 消耗。（限時測試）

若選擇“Kimi + DeepSeek”翻譯服務，且啟用自動術語提取，則會使用 Kimi-K2.5 提取術語，並使用 DeepSeek-V3.24-Flash 完成文字翻譯。相關消耗均會計入 DeepSeek 消耗。（限時測試）

由於 BabelDOC 採用後端翻譯架構，所有翻譯邏輯均在伺服器端執行，與擴充功能所使用的翻譯引擎相互獨立。因此，BabelDOC 可選用的翻譯引擎範圍與沉浸式翻譯擴充功能存在差異，BabelDOC 僅支持部分高級翻譯模型，並非所有高級模型均可使用。
a month ago
User avatar None

String updated in the repository

  1. Immersive Translate Site
  2. Immersive Translate Document App
  3. Chinese (Traditional)
All users can currently use the GLM-4-Flash-250414 model for translation free of charge, while Pro users can also choose to use the Qwen3.5-Plus/DeepSeek-V4-Flash/doubao-seed-2-0-lite models for translation.
所有用戶目前均可使用 GLM-4-Flash-250414 模型進行翻譯，而 Pro 用戶還可額外選擇使用 Qwen3.5-Plus/DeepSeek-V3.24-Flash/doubao-seed-2-0-lite/Kimi+Qwen/Kimi+DeepSeek/GLM-4.7 模型（以實際可選模型為準）進行翻譯。

經過對比我們發現 Kimi-K2.5 提取術語效果較好，因此推出“Kimi + Qwen”和“Kimi + DeepSeek”翻譯服務：

若選擇“Kimi + Qwen”翻譯服務，且啟用自動術語提取，則會使用 Kimi-K2.5 提取術語，並使用 Qwen3.5-Plus 完成文字翻譯。相關消耗均會計入 Qwen 消耗。（限時測試）

若選擇“Kimi + DeepSeek”翻譯服務，且啟用自動術語提取，則會使用 Kimi-K2.5 提取術語，並使用 DeepSeek-V3.24-Flash 完成文字翻譯。相關消耗均會計入 DeepSeek 消耗。（限時測試）

由於 BabelDOC 採用後端翻譯架構，所有翻譯邏輯均在伺服器端執行，與擴充功能所使用的翻譯引擎相互獨立。因此，BabelDOC 可選用的翻譯引擎範圍與沉浸式翻譯擴充功能存在差異，BabelDOC 僅支持部分高級翻譯模型，並非所有高級模型均可使用。
a month ago
User avatar None

Resource updated

  1. Immersive Translate Site
  2. Immersive Translate Document App
  3. Chinese (Traditional)
The “app/src/i18n/zh-TW.json” file was changed. a month ago
User avatar None

String added in the repository

  1. Immersive Translate Site
  2. Immersive Translate Document App
  3. Chinese (Traditional)
Please enable your installed Immersive Translate extension to continue.
請啟用已安裝的沉浸式翻譯擴充功能，以便正常使用
a month ago
Browse all translation changes