- Overview
- Datasets
- Providers
- Use Cases
- Attributes
- FAQ
- Overview
- Datasets
- Providers
- Use Cases
- Attributes
- FAQ
What is Translation Data?
Translation data is collection of texts or documents in one language that are used as input to train machine translation models. It typically consists of parallel texts, where each sentence or phrase is aligned with its corresponding translation in another language. This data is crucial for training and improving the accuracy of machine translation systems.
Translation data refers to the collection of language pairs and corresponding translations used to train machine translation models. Examples of translation data include parallel corpora, bilingual dictionaries, and multilingual documents. Translation data is used to improve the accuracy and fluency of machine translation systems by providing a reference for translating text from one language to another. In this page, you’ll find the best data sources for translation datasets.
Best Translation Databases & Datasets
Here is our curated selection of top Translation Data sources. We focus on key factors such as data reliability, accuracy, and flexibility to meet diverse use-case requirements. These datasets are provided by trusted providers known for delivering high-quality, up-to-date information.
Parallel Corpus Data | 200 Million Pairs | Machine Translation Data | Natural Language Processing Data | Translation Data
TAUS Language Translation Data | Parallel translation for E- Commerce, various language pairs
Data Validation by EPIC Translations: AI & ML Translation Quality Data Evaluation
Social Media Data | Linkedin, Youtube, TwitterX | Global Coverage | 120M+ Contacts | (Verified E-mail, Direct Dails) | Live Profile Links
Mortgage Data, Property Data, Title Data, Ownership Data | Over 150 MM Records and 200 Attributes
TAUS Language Translation Data | Parallel translation for Colloquial English into various languages for Machine Learning
Zillow.com Data | Property Listings Data | Real Estate Transactions | Property Valuation Data
UberEats E-Receipt Data | Food Delivery Transaction Data | Asia, Americas, EMEA | Granular & Aggregate Data available
Biodiversity Footprint Data | Nature ESG Data | 14k+ Global Companies | Climate Risk Data
Company Financial Data | Multi-Source Docs | Extraction & Structuring (100+ Languages, 5K Docs/Hour) | Standardized Outputs | Compliance & Analysis
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Top Translation Data Providers & Companies
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Nexdata
CoverageUSAUK+184Founded in 2011, Nexdata has grown to be a globally renowned AI training data service company. Nexdata owns an extensive library of off-the-shelf datasets and provides flexible data collection, annotation and curation services.Volume1M Hours Speech, 800TB ImageAccuracyAbove 95%CopyrightCollected with Consent -
Webautomation
CoverageUSAUK+248VI bought some Firmographic data from webautomation to use as part of our AI stack. The price was fair and the data quality was very good. Great service all round. Would highly recommend their service.
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TAUS
CoverageUSAUK+32MOracle International Product Solutions has worked with TAUS on a joint pilot project to enable data discovery within TAUS's Data Cloud corpora. The process consisted in Oracle IPS supplying TAUS with a sample of approximately 30K English strings, representing content that is aligned to Oracle projects. TAUS used the sample to explore Data Cloud for similarity & proximity, across 5 languages, and reverted back with three categories of data output, with score ranges on similarity and proximity. Oracle IPS then performed a linguistic assessment of this output. Our in-depth linguistic review rendered positive results and the content supplied by TAUS was of good quality, appropriate to consume as aligned corpora to that supplied in the Oracle sample with an average score of 84% for across the 5 languages. Oracle IPS will continue to work with TAUS to assess the effect that consuming this discovered corpora will have on engine quality. We look forward to having data search and discovery features on Data Cloud, whereby a user is capable of discovering their own project aligned content as a consumable self-service. We believe this will allow TAUS and its members to drive increased value from the TAUS data assets and in turn will likely continue to fuel growth in the pool of data and value-add services.
Popular Use Cases for Translation Data
Translation Data is essential for a wide range of business applications, offering valuable insights and driving opportunities across industries. Below, we have highlighted the most significant use cases for Translation Data.
Main Attributes of Translation Data
Below, we outline the most popular attributes associated with this type of data—features that data buyers are actively seeking to meet their needs.
| Attribute | Type | Description | Action |
|---|---|---|---|
| String | The postal code of an address. | View 30 datasets | |
| String | The email address of a company or contact. | View 22 datasets | |
| String | The country code in Alpha-2 format (ISO 3166) | View 19 datasets | |
| String | The address of a company or contact (street name, number, zip code, city, county, country). | View 8 datasets | |
| Float | The latitude of a point on earth's surface. Commonly abbreviated as "lat". | View 8 datasets | |
| String | The name of a brand. | View 6 datasets |
Frequently Asked Questions
How is the Quality of Translation Data Maintained?
The quality of Translation Data is ensured through rigorous validation processes, such as cross-referencing with reliable sources, monitoring accuracy rates, and filtering out inconsistencies. High-quality datasets often report match rates, regular updates, and adherence to industry standards.
How Frequently is Translation Data Updated?
The update frequency for Translation Data varies by provider and dataset. Some datasets are refreshed daily or weekly, while others update less frequently. When evaluating options, ensure you select a dataset with a frequency that suits your specific use case.
Is Translation Data Secure?
The security of Translation Data is prioritized through compliance with industry standards, including encryption, anonymization, and secure delivery methods like SFTP and APIs. At Datarade, we enforce strict policies, requiring all our providers to adhere to regulations such as GDPR, CCPA, and other relevant data protection standards.
How is Translation Data Delivered?
Translation Data can be delivered in formats such as CSV, JSON, XML, or via APIs, enabling seamless integration into your systems. Delivery frequencies range from real-time updates to scheduled intervals (daily, weekly, monthly, or on-demand). Choose datasets that align with your preferred delivery method and system compatibility for Translation Data.
How Much Does Translation Data Cost?
The cost of Translation Data depends on factors like the datasets size, scope, update frequency, and customization level. Pricing models may include one-off purchases, monthly or yearly subscriptions, or usage-based fees. Many providers offer free samples, allowing you to evaluate the suitability of Translation Data for your needs.
What Are Similar Data Types to Translation Data?
Translation Data is similar to other data types, such as Natural Language Processing (NLP) Data and Transcription Data. These related categories are often used together for applications like LLM Training.
