Project Translated Unfinished Unfinished words Unfinished characters Untranslated Checks Suggestions Comments
Immersive Translate 95% 42 399 2,805 4 86 44 1
Immersive Translate Site 97% 57 812 5,724 9 324 1 0

Overview

Language code zh_Hant
Aliased language codes tchinese, zh_cht, zhtw, zh_tw, zh_hant_tw, zh_hant@zh, zh_cmn_hant, cht, zho
Text direction Left to right
Number of speakers 38,612,556
Plural: Default plural 8 translations
Number of plurals 1
Plural type None
Plurals
Plural formula 0
Plural: Qt Linguist plural 0 translations
Number of plurals 1
Plural type None
Plurals
Plural formula 0
18 hours ago

String statistics

Strings percent Hosted strings Words percent Hosted words Characters percent Hosted characters
Total 3,147 30,538 211,111
Approved 0% 0 0% 0 0% 0
Waiting for review 95% 3,016 95% 29,293 95% 202,448
Translated 96% 3,048 96% 29,327 95% 202,582
Needs editing 2% 86 3% 1,005 3% 6,609
Read-only 1% 32 1% 34 1% 134
Failing checks 13% 410 17% 5,217 16% 34,957
Strings with suggestions 1% 45 3% 932 3% 6,537
Untranslated strings 1% 13 1% 206 1% 1,920
Last 12 months Previous

Activity in last 12 months

0 changes 5 changes 0 changes 101 changes 0 changes 227 changes 0 changes 69 changes 0 changes 1,302 changes 0 changes 0 changes 0 changes 714 changes 952 changes 347 changes 537 changes 160 changes 58 changes 127 changes 63 changes 101 changes 48 changes 98 changes
Nov Dec Jan Feb Mar Apr May Jun Jul Aug Sep Oct

Quick numbers

30,534
Hosted words
3,147
Hosted strings
96%
Translated
1
Contributors
and previous 30 days

Trends of last 30 days

+2%
Hosted words
+100%
+1%
Hosted strings
+100%
—
Translated
+96%
−100%
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. 18 hours ago
User avatar None

String updated in the repository

  1. Immersive Translate Site
  2. Immersive Translate Document App
  3. Chinese (Traditional)
Based on the number of document pages, this translation is estimated to consume {{needToken}} Tokens, while the translation quota for the selected model has only {{availableToken}} Tokens remaining. You may switch to the Pro translation service (such as Kimi+Qwen) to continue using.
根據文件頁數計算，本次翻譯預計需要消耗 {{needToken}} Token，而您所選模型對應的翻譯額度僅剩 {{availableToken}} Token。您可切換高級模型至 Pro 翻譯服務（如 Kimi+Qwen）繼續使用。
18 hours 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. 2 days 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:

- Translation quotas are charged based on the number of Tokens used during the translation process.
- The GLM-4-Flash-250414 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)
- The Qwen-Plus-2025-09-11/DeepSeek-V3-0324/Doubao-1.5-pro/Kimi+Qwen/Kimi+DeepSeek models are exclusively for Pro/Max members, counted towards the members' general translation quota. Pro members enjoy up to 20 million Tokens per month, while Max members enjoy up to 50 million Tokens per month. Failed translations are not counted towards the quota.

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.
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> Qwen-Plus-2025-09-11/DeepSeek-V3-0324/Doubao-1.5-pro/Kimi+Qwen/Kimi+DeepSeek </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。
2 days 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:

- Translation quotas are charged based on the number of Tokens used during the translation process.
- The GLM-4-Flash-250414 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)
- Models such as Qwen-Plus-2025-09-11/DeepSeek-V3-0324/Doubao-1.5-pro/GPT-5-mini/Gemini-2.5-Flash/Kimi+Qwen/Kimi+DeepSeek are exclusively for Pro/Max members, counted towards the members' general translation quota. Pro members enjoy up to 20 million Tokens per month, while Max members can enjoy up to 50 million Tokens per month. Failed translations are not counted towards the translation quota.

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.
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> Qwen-Plus-2025-09-11/DeepSeek-V3-0324/Doubao-1.5-pro/GPT-5-mini/Gemini-2.5-Flash/Kimi+Qwen/Kimi+DeepSeek </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。
2 days 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 Qwen-Plus-2025-09-11/DeepSeek-V3-0324/Doubao-1.5-pro/GPT-5-mini/Gemini-2.5-Flash/Kimi+Qwen/Kimi+DeepSeek models for translation, subject to actual availability.

After comparison, we found that Kimi-K2-0905 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-K2-0905 will be used to extract terminology, and Qwen-Plus-2025-09-11 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-K2-0905 will be used to extract terminology, and DeepSeek-V3-0324 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 Qwen-Plus-2025-09-11/DeepSeek-V3-0324/Doubao-1.5-pro/GPT-5-mini/Gemini-2.5-Flash/Kimi+Qwen/Kimi+DeepSeek 模型（以實際可選模型為準）進行翻譯。

經過對比我們發現 Kimi-K2-0905 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-K2-0905 提取術語，並使用 Qwen-Plus-2025-09-11 完成文本翻譯。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-K2-0905 提取術語，並使用 DeepSeek-V3-0324 完成文本翻譯。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，與插件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插件存在差異，BabelDOC 僅支持部分高級翻譯模型，並非所有高級模型均可使用。
2 days 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 Qwen-Plus-2025-09-11/DeepSeek-V3-0324/Doubao-1.5-pro 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 Qwen-Plus-2025-09-11/DeepSeek-V3-0324/Doubao-1.5-pro/Kimi+Qwen/Kimi+DeepSeek 模型（以實際可選模型為準）進行翻譯。

經過對比我們發現 Kimi-K2-0905 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-K2-0905 提取術語，並使用 Qwen-Plus-2025-09-11 完成文本翻譯。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-K2-0905 提取術語，並使用 DeepSeek-V3-0324 完成文本翻譯。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，與插件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插件存在差異，BabelDOC 僅支持部分高級翻譯模型，並非所有高級模型均可使用。
2 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. 4 days ago
User avatar None

String added in the repository

  1. Immersive Translate Site
  2. Immersive Translate Document App
  3. Chinese (Traditional)
Based on the number of document pages, this translation is estimated to consume {{needToken}} Tokens, while the translation quota for the model you selected has only {{availableToken}} Tokens remaining. After you <a href={{GO_PRO_URL_FOR_BABELDOC}} target="_blank" style="text-decoration: underline;">become a Pro member</a>, you can enjoy a higher token allowance and higher-quality translation models.
根據文件頁數計算，本次翻譯預計需要消耗 {{needToken}} Token，而您所選模型對應的翻譯額度僅剩 {{availableToken}} Token。您 <a href={{GO_PRO_URL_FOR_BABELDOC}} target="_blank" style="text-decoration: underline;">成為 Pro 會員</a> 後即可享有更高 Token 額度與更高品質的翻譯模型。
4 days ago
User avatar None

String added in the repository

  1. Immersive Translate Site
  2. Immersive Translate Document App
  3. Chinese (Traditional)
Based on the number of document pages, this translation is estimated to consume {{needToken}} Tokens, while the translation quota for the model you selected has only {{availableToken}} Tokens remaining. You can switch to an advanced model to continue.
根據文件頁數計算，本次翻譯預計需要消耗 {{needToken}} Token，而您所選模型對應的翻譯額度僅剩 {{availableToken}} Token。您可切換高級模型繼續使用。
4 days ago
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