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Sep 19, 2025
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add pte part and recover the Code translation.mdx #86

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Reapply "Create code-translation入门推荐必读.mdx"
Mira190 Sep 19, 2025
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add pte part
Mira190 Sep 19, 2025
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modify typo
Mira190 Sep 19, 2025
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60 changes: 60 additions & 0 deletions app/docs/Language/pte-intro.md
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---
title: "PTE-Academic题型与题量介绍"
description: "PTE-Academic题型与题量介绍"
date: "2025-09-19"
tags:
- pte
---

很多同学可能因为信息差，所以并不太了解PTE考试。实际上对于想要拿到语言成绩或者希望移民的同学来说，考pte比考雅思托福要容易上分。因为PTE有无数考生贡献和机经和高频题，所以如果运气好几乎是开卷考试。但是PTE和雅思托福不同，PTE-Academic题型种类非常多，而且技巧性非常强。能在雅思拿到高分的同学如果不重视刷题和做题技巧，pte可能也无法拿到满意成绩。今天就简单的先介绍一下各大题型和交叉评分，后续会逐步更新PTE技巧，大家有想听的内容也可以评论区留言。

PTE题型和题量介绍如下：
太长不看版：PTE优先级最高的题型是：WFD, RS, RA, DI,SGD, SWT, WE,FIB-D,FIB-DD (如果时间有限，这些题目重点准备，也可以拿到不错的分数哦)

## 口语 Speaking （36–44 分钟，所有题目合并计时）

| 模块 | 题型顺序 | 优先级 | 考试题目 | 交叉评分模块 | 题目数量 | 答题时间 |
| ------------ | -------- | ------ | ---------------------------------------------- | --------------------------- | -------- | ------------- |
| 口语Speaking | 1 | 中 | 大声朗读文段：Read Aloud (RA) | 口语Speaking | 6–7 | 合并计时36-44 |
| 口语Speaking | 2 | 高 | 重复句子：Repeat Sentence (RS) | 口语Speaking・听力Listening | 10–12 | |
| 口语Speaking | 3 | 高 | 描述图片：Describe Image (DI) | 口语Speaking | 5–6 | |
| 口语Speaking | 4 | 中 | 重述讲座：Re-tell Lecture (RL) | 口语Speaking・听力Listening | 2–3 | |
| 口语Speaking | 5 | 中 | 回答短问题：Answer Short Question (ASQ) | 听力Listening | 5–6 | |
| 口语Speaking | 6 | 高 | 总结小组讨论：Summarize Group Discussion (SGD) | 口语Speaking・听力Listening | 2–3 | |
| 口语Speaking | 7 | 中 | 情景回答：Response to a Situation (RTS) | 口语Speaking | 2–3 | |

---

## 写作 Writing （独立计时）

| 模块 | 题型顺序 | 优先级 | 考试题目 | 交叉评分模块 | 题目数量 | 答题时间 |
| ----------- | -------- | ------ | -------------------------------------- | ------------------------ | -------- | --------------------- |
| 写作Writing | 8 | 高 | 文章总结：Summarize Written Text (SWT) | 写作Writing・阅读Reading | 2 | 独立计时 每题 10 分钟 |
| 写作Writing | 9 | 高 | 命题作文：Write Essay (WE) | 写作Writing | 1 | 独立计时 20 分钟 |

---

## 阅读 Reading （29–30 分钟，所有题目合并计时）

| 模块 | 题型顺序 | 优先级 | 考试题目 | 交叉评分模块 | 题目数量 | 答题时间 |
| ----------- | -------- | ------ | ---------------------------------------------------- | ------------ | -------- | ------------------ |
| 阅读Reading | 10 | 高 | 下拉选择填空：Dropdown Fill in the Blanks (FIB D) | 阅读Reading | 5–6 | 合并计时 29-30分钟 |
| 阅读Reading | 11 | 低 | 多项选择：Multiple Choice – Multiple Answers (MCQ-M) | 阅读Reading | 2–3 | |
| 阅读Reading | 12 | 中 | 段落排序：Reorder Paragraph (RO) | 阅读Reading | 2–3 | |
| 阅读Reading | 13 | 高 | 拖拽填空：Drag and Drop Fill in the Blanks (FIB DD) | 阅读Reading | 4–5 | |
| 阅读Reading | 14 | 低 | 单项选择：Multiple Choice – Single Answer (MCQ-S) | 阅读Reading | 2–3 | |

---

## 听力 Listening （20–33 分钟，所有题目合并计时，时间非常紧张，需要留时间给大比分题型，前面的小分值题型速过）

| 模块 | 题型顺序 | 优先级 | 考试题目 | 交叉评分模块 | 题目数量 | 答题时间 |
| ------------- | -------- | ------ | --------------------------------------------- | -------------------------- | -------- | --------------------- |
| 听力Listening | 15 | 高 | 讲座总结：Summarize Spoken Text (SST) | 听力Listening・写作Writing | 1 | 独立计时 每题 10 分钟 |
| 听力Listening | 16 | 低 | 多项选择：Listening MCQ-M | 听力Listening | 2–3 | 合并计时 20-33分钟 |
| 听力Listening | 17 | 中 | 听力填空：Fill in the Blanks (FIB-L) | 听力Listening | 2–3 | |
| 听力Listening | 18 | 低 | 正确概要选择：Highlight Correct Summary (HCS) | 听力Listening・阅读Reading | 2–3 | |
| 听力Listening | 19 | 低 | 单项选择：Listening MCQ-S | 听力Listening | 1–2 | |
| 听力Listening | 20 | 低 | 补全对话：Select Missing Words (SMW) | 听力Listening | 2–3 | |
| 听力Listening | 21 | 中 | 选错词：Highlight Incorrect Words (HIW) | 听力Listening・阅读Reading | 2–3 | |
| 听力Listening | 22 | 超高 | 听写句子：Write from Dictation (WFD) | 听力Listening・写作Writing | 3–4 | |
19 changes: 19 additions & 0 deletions app/docs/ai/Multi-agents-system-on-Code-Translation/code-translation-intro.mdx
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---
title: "Code translation入门推荐必读"
description: ""
date: "2025-09-19"
tags:
- tag-one
---

入门文章推荐：

1. ExeCoder: Empowering Large Language Models with Executability Representation for Code Translation 微软的工作，提出了一些比较有创意的想法。
2. Repository-Level Compositional Code Translation and Validation 文件级别的（代码长度越长，难度越大）
3. CoTran: An LLM-based Code Translator using Reinforcement Learning with Feedback from Compiler and Symbolic Execution 常见的使用compiler和RL的方法，结构设计的很棒。
4. Lost in Translation: A Study of Bugs Introduced by Large Language Models while Translating Code 一个类似survey的文章。让你快速入门。
5. A Systematic Literature Review on Neural Code Translation 完全体文献综述，读完了感觉什么的都会了。
6. IMPROVING COMPLEX REASONING WITH DYNAMIC PROMPT CORRUPTION: A SOFT PROMPT OPTIMIZATION APPROACH 一篇关于propmt engineering的文章，读完了也许对你写prompt有作用。
7. Enhancing LLM-based Code Translation in Repository Context via Triple Knowledge-Augmented 知识增强和Code translation的结合，是一个很有趣的角度，并且也是文件级别的处理。

大家如果找到什么很好的文章也欢迎和大家一起分享。