OmniDocWhat are the subtitle translation methods: a list of common methods
Sort out the three common methods of subtitle translation: manual translation, machine translation tools and file-based translation tools, explaining what situations each is suitable for, how to deal with the timeline, and the basis for judgment when choosing.
Key points of this article
- Subtitle translation is roughly divided into three categories: manual translation, machine translation tools, and file-based translation tools. The difference lies in whether the timeline and file format are retained.
- If you just want to understand the main idea, you can use machine translation tools; if you want to use it as finished subtitles, you should process the subtitle file and check it manually.
- Directly copying the subtitle text and then translating it will often disrupt the serial number, time code and sentence fragments, causing the subtitles to be displayed in a misaligned manner.
- Either way, names, terms, and numbers must be checked item by item, and machine translation results need to be reviewed.
- For SRT or ASS files, the file-based tool can output bilingual comparison or translation only, which is convenient for proofreading and comparative reading.
If you have an English video, an episode of a foreign language drama, or an online lecture with subtitles and want to add them to Chinese, the first question is usually: How many methods are there for subtitle translation? What situations are each suitable for? There are various opinions on the Internet. Some people talk about manual work, some talk about tools, and some talk about plug-ins. After reading it, it becomes even more confusing.
This article is classified by approach: human translation, machine translation tools, and file-based translation tools. Each category explains how it works, what its advantages and disadvantages are, and what misunderstandings are easy to avoid. After reading this, you should be able to judge which way the subtitles in your hand should go, and also understand the categories behind the term"subtitle translation tools".
What are the subtitle translation methods? One sentence conclusion
There are three common methods of subtitle translation: manual sentence-by-sentence translation, using machine translation tools to process text, and using file-based tools to directly process subtitle files. The first two categories focus on whether the translation is written correctly, and the third category also cares about whether the translation is correct and the format is messy after being put back on the timeline. Which one you choose mainly depends on whether you want to understand the general idea or whether you want it to be used directly as a finished product.
| your situation | Recommended practices | reason |
|---|---|---|
| I just want to understand the general idea, and the content will not be shared outside. | Machine translation tool, paste text to see the results | It’s straightforward to get started, but you need to adjust the timeline yourself. |
| To use as finished subtitles, the SRT file is in hand | File-based translation tool, keeping timeline | Process subtitle files according to their time points to reduce misalignment |
| Professional, legal or medical content, accuracy required | Human translation, machine results are for reference only | Terminology and context require human judgment |
| Make bilingual comparisons for learners | File-based tool selects bilingual comparison output | The original text and the translated text correspond to each other in the same file. |
| Large amount of subtitles and tight time | The machine translates the first draft and then manually proofreads it | Write a first draft first and focus on revising terminology and sentence fragmentation. |
Manual translation: accuracy depends on the translator and takes a long time
How it works
The translator reads the subtitles one by one, combines the scenes and context, rewrites the lines into the target language, and then aligns them with the time point. Content such as slang, puns, and cultural backgrounds rely on manual processing.
Common misunderstandings
Many people think that manual translation is "sentence by sentence translation". In fact, subtitles also have to consider the number of words and length of stay on each screen, and a long sentence should be split into two lines or even two screens. There are also clerical errors in manual translation. it is recommended to read through before handing in the manuscript, especially to check whether the person's name and address are the same.
# Machine translation tools: fast, but need to review
Common forms
It includes browser translation plug-ins, online translation of web pages, translation functions in desktop office software, and general chat robots. They receive text input and output translation, and usually do not understand the sequence number and timecode structure of subtitles.
places easy to confuse
Copy the whole paragraph of the subtitle text into it, and the translated text will merge the broken sentences, and the corresponding time point of the original subtitle will not match. Machine translation may also mistranslate the names of people, places and products, or leave out negative words. Therefore, it needs to be checked one by one, especially numbers, dates and proper nouns. The results of machine translation can not be guaranteed to be completely accurate and must be checked manually before formal use.
# document translation tool: preserves the structure and is suitable for finished subtitles
how does it work
Such tools directly read SRT, ASS and other subtitle files, translate according to the time point of each subtitle, and then output new subtitle files. OmniDoc falls into this category: you can upload a subtitle file on a web page, choose bilingual control or translation-only output, and then download the results.
judgment basis
If what you need is a subtitle file that you can continue to use, give priority to this category. It cannot replace manual judgment. After output, it is still necessary to spot-check the beginning, end and long sentences to make sure that the translation matches the rhythm of the picture.
# Core comparison
| The way | Suitable for the scene | Timeline processing | Check the key points |
|---|---|---|---|
| human translation | Professional content, high requirements of finished products | The translator aligns himself. | Context, terminology, clerical error |
| Machine translation tools (pasted text) | Understand the main idea, temporary reference | You usually need to realign yourself. | Broken sentences, names, numbers |
| Document translation tool | Subtitle documents and bilingual comparison | Processed according to the time point of the original file | Long sentences, proper nouns, rhythm |
# how to use it in practice: deal with subtitle files with OmniDoc
- Prepare the SRT or ASS subtitle file and open it to make sure that the content is complete and has not been manually modified.
two. Upload the subtitle file on omnidoc.top and submit it for translation.
- Choose bilingual control or translation-only output.
- Download the result, open it with a text editor or player, and spot-check the beginning, end, and words that appear in the name of the person.
If you work on your computer more often, you can also go to the download.omnidoc.top download desktop client and use the same subtitle translation function.
When using other ways, the idea is the same: first keep the sequence number and time code, translate only the part of the text, then fill it back one by one, and finally check the time point.
# which method is suitable for you?
Just want to know what the video is saying: you can judge the general idea by pasting a small amount of text with machine translation tools. -to be used or retained by others: use document-based tools to deal with subtitle documents and manually check proper nouns. Professional content, great responsibility: mainly manual translation, machine results are only for reference.
# frequently asked questions (FAQ)
1. How many subtitle translation methods are there?
It can usually be divided into three categories: manual translation, machine translation tools and document translation tools. The main difference lies in whether the timeline and file format of the subtitles can be preserved.
2. What are the subtitle translation tools?
Common ones are browser translation plug-ins, online translation of web pages, translation functions in desktop office software, and file-based tools that deal with subtitle files. The first few categories are biased towards text, and the last category is biased towards files.
3. Choose a free subtitle translation method, what should you watch?
It focuses on the file size limit, whether the output is watermarked, whether the sequence number and time code are retained, and whether the privacy policy indicates how the file is saved and used. Whether typesetting is retained or not will also affect subsequent use.
4. Can the subtitles of machine translation be used directly?
Direct use for official release is not recommended. At least spot check whether the names, numbers, long sentences and terms before and after are unified.
5. Why is the subtitle time misplaced after translation?
The common reason is that the sequence number and time code are lost when copying the text, or the translated sentences are merged and do not match the original time point.
# Summary
There are three main methods of subtitle translation: manual translation, machine translation tools and document translation tools. Just look at the main idea and use machine translation. If you want to use it as a finished product, you should process the subtitle file and manually check the person's name, terminology and time point after output. If you choose the right approach, there will be much less rework of the subtitle translation.
