Developing Language Models for Multiple Languages
Amazon has developed a comprehensive dataset of 19,521 common phrases in 51 languages, designed to train massive multilingual natural language understanding (NLU) models. However, the exact dataset is not openly linked or detailed in the provided search results.
Related datasets, such as the Amazon Reviews multilingual dataset, are mentioned in Amazon research publications and used in research contexts for language understanding and sentiment classification. This dataset, covering multiple languages, can be a valuable resource for training multilingual NLU and sentiment analysis models.
To access Amazon’s multilingual datasets specifically designed for NLU, you can:
- Check Amazon Web Services (AWS) resources, particularly Amazon OpenSearch Serverless or AWS AI/ML services, as Amazon provides data collections and models for semantic enrichment and language tasks.
- Review Amazon Science publications and datasets, where Amazon releases certain research datasets or references their use.
- Contact Amazon directly or through AWS support if you are an AWS customer, as some datasets may be accessible only under specific data access policies or through partner programs requiring permissions and setup of IAM roles and data access policies.
If you want to train multilingual NLU models on Amazon’s multilingual data, your best option is to:
- Investigate the AWS data services and policies for accessing Amazon datasets.
- Explore or request datasets mentioned in Amazon Science papers.
- Consider publicly available multilingual datasets with Amazon reviews or phrases, or leverage Amazon's semantic search APIs if available through your AWS subscription.
The phrases in the dataset are examples of common questions that can be understood by the trained model. The dataset contains phrases in various languages, including questions about the weather. Remarkably, this single model can understand the same phrase in all 51 languages.
The image associated with this article is credited to Flickr user Marc Wathieu. The image used in the article is a part of Marc Wathieu's Flickr account and is available for public use.
- The comprehensive dataset developed by Amazon for training massive multilingual natural language understanding (NLU) models can be used to train artificial-intelligence models capable of understanding common phrases in 51 languages, including questions about the weather.
- Machine learning researchers may find the Amazon Reviews multilingual dataset valuable, as it is mentioned in Amazon research publications and can be used for training multilingual NLU and sentiment analysis models.
- For those interested in leveraging technology such as artificial-intelligence and machine learning, Amazon provides resources on Amazon Web Services (AWS) such as semantic enrichment and language task data collections, which can be used to train AI models on various datasets.
