This guide is useful to train your own Amazon translation model. For example, you can train a domain model, such as medical, legal, video games, financial reporting with your translation memory accumulated over the years. Alternatively, you can make an organization-specific model that knows all the product and people names, and follows your individual styles.
Unlike brands like Globalese, ModernMT and Systran, training Amazon model is a technically complex task that requires some developer skills and knowledge. But with our guide a technically-savvy project manager or a solution architect on a language team can take on the ML operations.
If you’ve used the Google Cloud Platform before, each part of the training will take:Â
- Creating an account (15 – 20min)
- Creating a billing (10+ min)
- Training the model (20+ min for set up & 10h+ for training)
CREATING AN ACCOUNT
- Go to https://signin.aws.amazon.com/Â Â
- Follow all the steps the Amazon requires and complete the account creation.
TIP: You need to fill in the company details, such as billing address and phone number.
They might ask you to add your payment method as well, anyway we’ll explore how to add the payment by another way
TIME: 20+ min
What is it: Â Amazon Web Services, Inc. is a subsidiary of Amazon that provides on-demand cloud computing platforms and APIs to individuals, companies, and governments, on a metered, pay-as-you-go basis.
CREATING A BILLING
Choose the “Payment preferences” from the menu on the left and click the button “Add payment method”
- Simply follow the instructions from Amazon and the method will be added.Â
TIME: 10+ min
TRAINING THE MODEL
- AWS includes not only the models training, it also includes the translation options. If you’re not familiar with cat tools – this would be the option.Â
1. To start the training process, go to main menu or drop-down menu and choose the S3Â
What is it: Amazon S3 or Amazon Simple Storage Service is a service offered by Amazon Web Services that provides object storage through a web service interface. Amazon S3 uses the same scalable storage infrastructure that Amazon.com uses to run its e-commerce network
2. Go to Buckets and create a new oneÂ
3. On creating the section, fill up the name and the region, all the rest can be the default version.
TIP: Choose carefully the region. It should be exact or close to the region that you will work in.Â
4. After creating the bucket, go into it and create three folders. The names can be different.
1st – for inputs (for files to translate)
2nd – for outputs (translated files)Â
3rd – for training data (TMX files, etc.)
TIP: For the training we are going to use only the 3rd one folder which contains the training data. All the rest folders needed for translation.
5. Go to 3rd Folder and upload the TMX file for the training
TIME: Usually takes a couple of mins. Depends on your internet speed and size of the file.Â
6. Go back to the menu and choose the Amazon Translate
7. Go to Parallel data and create a new one
What is it: Amazon Translate is a text translation service that uses advanced machine learning technologies to provide high-quality translation on demand. You can use Amazon Translate to translate unstructured text documents or to build applications that work in multiple languages.
TIP: If you already had Parallel data and you can not find those, check the current region you use and switch it to needed one.
8. On the creating page, fill the name, the data set from the 3rd folder in S3 and choose the format of the file. In our case it’ll be in the TMX format. Click the button Create parallel data.Â
TIME: It could take up to 30 hours, depend on size of your training data
What is it: Parallel data consists of examples that show how you want segments of text to be translated. It includes a collection of textual examples in a source language, and for each example, it contains the desired translation output in one or more target languages.
9. That’s the process of the training. Check the status – if it’s an Active – you can use it for translations.Â
TIP: Â Be aware what region you use
HOW TO TRANSLATE
- From step 4, when we created three folders, we were going to use the first two of those. Input files and out files
- Go to S3 and go into the input file folder. Simply upload the file using the drag and drop area or the button Add files
- After you have chosen the file – click the button Upload
- Go back to Amazon Translate option
- Choose the Batch translation from the list
Create a new job
TIP: The translator translates longer than other providers, better to start from it first to save time.
- Let’s start to fill in the needed details. Fill the name, source language and target language. Input S3 location is exactly the 1st folder that we created with input files.Â
File format, for example TXT
And the last, Output S3 location – that’s the 2nd folder for translated filesÂ
TIP: When you choose the locations – click on the directory where the files are located. Not on files itself.
- Next lines to fill
If you want to make a stock translation – don’t fill in any parallel data section.Â
Otherwise, if you need a trained model – use the parallel data that you created
Role name – put a “Translator”
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- After, click Create job.Â
TIP: The translation will take approx. 20+ min depending on the size of the file.
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