Yes, there are AI-powered translation tools that analyze the entire text before translating it sentence by sentence, ensuring better contextual accuracy and coherence. These tools are designed to understand the broader context of the content, which helps in producing translations that are more natural and fluent.
Here are some AI translation tools that prioritize context-aware translation:
DeepL: DeepL utilizes advanced neural machine translation models that consider the context of entire sentences and paragraphs. This approach helps in maintaining the original meaning and tone of the source text. 全球內容AI平台
ContainsAI: This tool employs large language models like GPT-4o and LLaMA 3.2, which are trained on extensive multilingual datasets. It focuses on delivering context-aware translations, capturing nuances, tone, and intent of the original message. ContainsAI
AI TranslatorGPT: Designed for translating articles, web pages, and other content, AI TranslatorGPT analyzes the entire text to ensure that idiomatic expressions, local references, and cultural nuances are accurately conveyed. YesChat+1ContainsAI+1
Bureau Works Translate: This platform integrates large language models like ChatGPT with translation memories and glossaries to provide nuanced, contextualized translations. It allows for real-time updates, ensuring that translations are consistent and accurate. Bureau Works+1Wikipedia+1
Microsoft Translator: Microsoft's translation service offers customization options through its Custom Translator feature, allowing users to build neural translation systems that understand specific terminology and context relevant to their business or industry. Wikipedia
These tools are particularly beneficial when translating complex texts that require attention to detail and cultural sensitivity. They aim to produce translations that are not only accurate but also fluent and natural in the target language.衛報
If you have a specific text you'd like to translate, feel free to share it, and I can assist you in choosing the most suitable tool or approach for your needs.
是的，GitHub 上有多個開源專案專注於語境感知的機器翻譯，這些專案利用先進的模型和技術來提升翻譯的準確性和語境一致性。以下是一些值得關注的專案：GitHub
說明：這個專案利用大型語言模型（LLM）來進行語境感知的翻譯，並支援離線運行。使用者可以提供上下文信息，以提高翻譯的準確性和一致性。
特色：
離線翻譯：無需網路連線即可使用。
自訂提示：可調整翻譯提示以符合特定需求。
自我修正：透過自我修正算法提升翻譯品質。
說明：此專案提出了一個多代理人（Multi-Agent）的框架，旨在保護文化身份，通過語境感知的翻譯來增強語言的文化適應性。
特色：
使用 CrewAI 和 LangChain 等工具來增強語境的忠實度。
專為低資源語言和邊緣社群設計。
連結：https://github.com/ciol-researchlab/Context-Aware_Translation_MASGitHub
說明：這個專案實現了「Does Multi-Encoder Help? A Case Study on Context-Aware Neural Machine Translation」的研究，探討了多編碼器在語境感知神經機器翻譯中的應用。
特色：
基於 Fairseq 框架實現。
支援訓練基於文檔的翻譯模型。
連結：https://github.com/libeineu/Context-AwareGitHubGitHub+4GitHub+4GitHub+4
說明：此專案專注於文檔級翻譯任務，實現了語境感知模型，用於測量和提高語境在機器翻譯中的使用。
特色：
支援訓練基於連接的文檔級機器翻譯模型。
支援 CoWord 隨機丟棄和動態語境大小等技術。
說明：這個專案提供了「When a Good Translation is Wrong in Context」和「Context-Aware Monolingual Repair for Neural Machine Translation」的數據和代碼，探討了語境感知翻譯的改進方法。
特色：
提出了 CADec（語境感知解碼器）和 DocRepair（語境感知單語修正）模型。
提供了對比測試集，用於評估語境中的指示詞、刪略語和詞彙連貫性等現象。
連結：https://github.com/lena-voita/good-translation-wrong-in-contextGitHub+1GitHub+1
說明：此專案探討了源文本在自動後編輯中的重要性，提出了語境感知的雙語修正方法。
特色：
基於 Nematus 實現。
提供了訓練和評估模型的腳本和配置文件。
連結：https://github.com/chaojun-wang/Context-Aware-Bilingual-Repair-for-Neural-Machine-TranslationGitHub+2GitHub+2GitHub+2
說明：MultiMT 是一個多模態語境建模的專案，旨在利用圖像、語音、元數據等多模態信息來提升機器翻譯中的語境建模。
特色：
跨領域研究，結合了自然語言處理、計算機視覺、語音處理和機器學習等領域。
這些專案涵蓋了從大型語言模型到多代理人系統、從多模態信息到單語修正等多種技術，旨在提升機器翻譯在語境感知方面的表現。
如果您有特定的需求，例如希望將某段文本翻譯成繁體中文，或希望使用特定的模型進行翻譯，請提供更多詳細信息，我將竭誠為您提供協助。
為了讓大型語言模型（LLM）進行語境感知的逐行翻譯，您可以設計結合上下文理解、語境提示和逐步推理的提示語。以下是一些建議的提示語範例，旨在提升翻譯的準確性和自然度：
提示語範例：
「請將以下中文句子翻譯成繁體中文，並確保翻譯保留原文的語氣、語境和文化細節：」
這種提示語強調了語氣、語境和文化細節的保留，有助於模型理解翻譯的語境要求。
提示語範例：
「逐句翻譯以下文本：
分析每句的語境和語氣。
根據分析結果進行翻譯。
確保翻譯自然流暢，並保留原文的語境和語氣。」Medium
這種提示語引導模型進行多步驟的語境分析和翻譯，有助於提升翻譯的質量。
提示語範例：
「請將以下中文句子翻譯成繁體中文，並在翻譯後進行自我檢查：
檢查翻譯是否保留了原文的語境和語氣。
修正任何不自然或不準確的翻譯部分。」Day Translations, Inc.
這種提示語鼓勵模型進行自我檢查和修正，有助於提高翻譯的準確性。
提示語範例：
「在翻譯以下句子之前，請閱讀前後文，以了解整體語境：
前文：{前文內容}
後文：{後文內容}
現在，請翻譯以下句子：{待翻譯句子}」Medium
這種提示語強調了上下文的整合，有助於模型在翻譯時考慮更廣泛的語境。
提示語範例：
「請識別以下句子中的關鍵詞，並確保在翻譯中正確處理：
關鍵詞：{關鍵詞列表}
翻譯：{待翻譯句子}」
這種提示語幫助模型識別並正確翻譯關鍵詞，提升翻譯的精確度。
這些提示語範例結合了上下文理解、語境提示和逐步推理，有助於提升 LLM 在逐行翻譯中的語境感知能力。如果您有特定的文本或語言對，歡迎提供，我可以幫助您設計更具體的提示語。
To get a large language model (LLM) to read the entire text first and then do a context-aware line-by-line translation, you need to use a well-structured, explicit prompt that separates the reading phase from the translation phase. Here's how to do it:
textYou are a professional translator. First, read and analyze the full text below to understand the overall context, tone, and meaning. Do not translate yet. [PASTE FULL TEXT HERE] Once you've fully read and understood the text, begin translating it line by line. Ensure each translation reflects the broader context of the full text. Maintain the tone, style, and meaning. Output format: Original: [Line 1] Translation: [Translation of Line 1] Original: [Line 2] Translation: [Translation of Line 2] ...and so on.
"Do not translate yet" forces the model to treat reading as a separate step, helping it absorb the full context.
"Begin translating it line by line" activates a structured, controlled output.
"Ensure each translation reflects the broader context" helps avoid overly literal or disconnected translations.
Add a summary step after reading if you want the LLM to explain the overall message before translating.
For long texts, split it into parts and reuse the same format with context reminders (e.g., “this is part 2 of 4”).
Would you like me to help you rewrite this for a specific language or use case (e.g., legal, literary, conversational)?
Great! Here's a fully enhanced and customized prompt template for doing a context-aware line-by-line translation from English to Traditional Chinese using a large language model:
textYou are an expert translator fluent in English and Traditional Chinese. Your task is to perform a context-aware, line-by-line translation from English to Traditional Chinese. **Step 1: Read and Analyze (Do not translate yet)** First, read the entire text below. Identify the tone, style, and overall meaning. If necessary, infer cultural or thematic elements that influence word choice or sentence structure. **Step 2 (Optional): Summary** Before translating, summarize the overall meaning and tone of the text in English to show your understanding. This step will help ensure you translate with proper context in mind. **Step 3: Line-by-Line Translation** Translate the text line by line, making sure that each translation is accurate and reflects the tone, context, and style of the entire passage. If a sentence has idioms, metaphors, or nuanced expressions, translate them appropriately for a Traditional Chinese-speaking audience. Use the following format for output: Original: [Line in English] Translation: [Line translated into Traditional Chinese] --- [PASTE FULL ENGLISH TEXT HERE] ---
textSummary: The text is a motivational speech encouraging persistence and self-belief. Original: No matter how many times you fall, get back up. Translation: 無論你跌倒多少次，都要重新站起來。 Original: Success is not final, and failure is not fatal. Translation: 成功不是終點，失敗也不是致命的。 Original: Keep going. Translation: 繼續前行。
This prompt works well for LLMs like GPT-4 or Claude because it helps them simulate a two-pass process: understand fully, then translate with care.
Would you like me to turn this into a reusable template file or help apply it to a real text?
To turn this into a reusable template or apply it to real text, you'll need to use ChatGPT canvas, which allows collaborative editing. Please log in to ChatGPT to access this feature.
Would you like me to provide a downloadable version of the template as a plain text or Word file instead?
Here is a reusable template for context-aware line-by-line translation from English to Traditional Chinese, formatted as plain text. You can copy this into any document editor (Word, Notepad, Google Docs, etc.) and reuse it for any English input text.
🧠 Role:
You are an expert translator fluent in English and Traditional Chinese. Your task is to perform a context-aware, line-by-line translation.
Read the full English text below carefully. Understand the overall tone, theme, and intent of the message. Think about the audience and cultural context.
Summarize the overall meaning and tone of the text in English (this will help guide your translation tone and word choice):
Summary:
[Your summary here]
Translate each line from English to Traditional Chinese. Ensure that the translation preserves the context, tone, and intent of the source.
Output Format:
makefileOriginal: [Line in English]
Translation: [Translated line in Traditional Chinese]
Original: ...
Translation: ...
Paste your full English text here
Line 1: ...
Line 2: ...
Line 3: ...
(and so on)
Would you like me to generate this as a downloadable .txt or .docx file for you?