Best Natural Language Processing (NLP) Datasets, Databases & APIs

What is Natural Language Processing (NLP) Data?

Natural language processing (NLP) data gives an overview of how computer systems are programmed to understand, interpret, and manipulate human language. Datarade helps you find NLP data APIs, datasets, and databases. Learn more

20 Results

Fully labelled Datasets of Arabic Language for Machine Learning - Text & Audio NLP Data - Kieli

by Kieli
of use cases, including NLP of Arabic texts. ... Kieli is a professional data analytics company that provides data labelling and data annotation for hundreds
Available for 249 countries
Pricing available upon request
Start icon5.0(1)

TAUS Language Translation Data | Parallel translation for E- Commerce, various language pairs

by TAUS
Data is available in parallel format and new language pairs can be created quickly: French - Dutch ... Based on that, we’ve applied TAUS proprietary Matching Data technology to extract the data from the TAUS
Available for 11 countries
1M words per language pair
1 years of historical data
100% words
Starts at
€5,000 / purchase
Free sample available

Agents Republic | Custom Multilingual Conversational AI Training Data via Audio/Voice (50+ languages) (synthetic)

by Agents Republic
The data is privacy-free, synthetic and dual-channel. ... Conversational AI training data generated for specific custom use cases.
Available for 240 countries
99% accuracy
Pricing available upon request

Kieli NLP Data - Fully-labelled dataset of Arabic language for Machine Learning & AI platforms

by Kieli
language processing techniques. ... Kieli is a professional data analytic company dedicated to solving human language challenges using natural
Available for 242 countries
Pricing available upon request
Start icon5.0(1)

TAUS Language Translation Data | Parallel translation for Colloquial English into various languages for Machine Learning

by TAUS
Need more data? ... In the following months, TAUS will release more equally sized corpora for the same domain and language
Available for 15 countries
1M words per language pair
7 months of historical data
100% words
Starts at
€100,000 / purchase
Free sample available
Start icon4.8(10)

Coresignal | Job Postings Data / Global / LinkedIn, Indeed, Glassdoor and 3 Other Sources / 160M+ Records / Updated Monthly

by Coresignal
LinkedIn Job postings data offers insights into the current and historical company hiring activities ... At a larger scale of analysis, this data can be leveraged to forecast market trends and predict the growth
Available for 249 countries
160 million records
30 months of historical data
Available Pricing:
One-off purchase
Usage-based
Free sample available

Automaton AI Data labeling services

by Automaton AI
Services we provide: Data collection & sourcing Data cleaning Data mining Data labeling ... We have developed our custom inbuilt data-labeling tool which reduces the cost of data-labeling by at
Available for 240 countries
Available Pricing:
One-off purchase
Monthly License
Yearly License
Usage-based
Free sample available

Linguistic Services by EPIC Translations: Linguistic Annotation Data for AI & ML

by EPIC Translations
. Content Creation . Lexicon Development . Linguistic Annotation . Expert-level Linguistic Consulting . Linguistic Development Rule . Machine Learning Consulting . Ontology Creating
Available for 249 countries
5M questions
Pricing available upon request
10% Datarade discount
Free sample available
10% revenue share

Kieli NLP Data - Fully-labelled Audio & Text Dataset for Machine Learning & AI platforms

by Kieli
natural language processing (NLP) techniques. ... Kieli is a professional data analytics company dedicated to solving human language challenges by using
Available for 193 countries
5K units
3 months of historical data
95% 95
Pricing available upon request
Free sample available

Cyabra's Analytics Platform for Online Conversations - Global Online Sentiment Data

by Cyabra
, Cyabra’s AI and Natural Language Processing algorithms measure the impact and authenticity of online ... Analyzing hundreds of data sources such as social media, traditional media, blogs and instant messenger
Available for 164 countries
Pricing available upon request
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Coresignal
Based in USA
Coresignal
With our offering of 569M professional profiles and 91M company records businesses are guaranteed to find the data to achieve their goals. Furthermore, what ...
20
Data Sources
274M
Records Updated Monthly
569M
Employee Profiles
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Automaton AI
Based in India
Automaton AI
We are a full-stack AI company with a mission to democratize Data. Automaton AI is an AI industry expert who is Transforming how businesses see the world wi...
EPIC Translations
Based in USA
EPIC Translations
We have over 1 million human resources located throughout the world ready for your projects.
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Kieli
Based in United Kingdom
Kieli
Kieli is a professional data analytic company dedicated to solves human language challenges using natural language processing techniques.
Quality
Best
Product
Management
Loyalty
Honest
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Agents Republic
Based in Canada
Agents Republic
We provide the human capital, technology, proven processes and management expertise to generate training data sets based on the specific requirements. We can...
100%
Scaleable
146
Languages and dialects
100%
Work-at-home agents
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Cyabra
Based in Israel
Cyabra
Cyabra measures the effect of online conversations to uncover authenticity and measure impact. Cyabra's analytic capabilities empower brands, financial servi...

The Ultimate Guide to Natural Language Processing (NLP) Data 2022

Learn about natural language processing (nlp) data analytics, sources, and collection.

What is Natural Language Processing (NLP) Data?

Artificial intelligence continues to gain more traction in contemporary technological advancement. As this field spreads into various sectors, it has found applications in machine learning techniques through aspects such as natural language processing where computer systems are being programmed to comprehend, interpret and manipulate human languages. This development has made a lots of well-publicised strides, as seen in Google’s Android Assistant, Apple’s Siri, and Amazon’s Alexa voice assistant programs that understand human language and are used to process data.

How is Natural Language Processing (NLP) Data collected?

NLP data is collected through rule-based models which are considered the oldest means that were hand-written and hand-coded during the earlier stages of NLP development. On the other hand, the more modern statistical-based models calls on machine learning techniques to infer and interpret language learning rules through the analysis of real-world instances of large datasets. Through machine learning algorithms, NLP data is collected from the programs that are designed to identify and learn recurring patterns to focus autonomously on certain areas of the input text.

What are the typical attributes of Natural Language Processing (NLP) Data?

Natural language processing data is made up of machine learning algorithms currently in use, statistical models for computer mapping of information, and rule-based modeling approaches. These attributes combine efforts to help computer systems process human language data. Furthermore, some of the aspects that make up NLP data include text-to-speech or speech-to-text conversions, machine translation from one language to another (e.g. Google Translate), categorizing, indexing, and summarizing written documents, and the ability of computer systems to identify moods and opinions within the text and voice-based data.

What is Natural Language Processing (NLP) Data used for?

NLP data is used by computer systems to help in the breakdown of large categories of human language data into smaller, shorter, concise, and more logical components with the sole purpose of comprehending the semantic and syntactic purpose of spoken and written human language. Advancement in machine learning means that with more NLP data, it is now possible for computer systems to analyze data at a much faster rate helping bridge the gap in a large volume of data that is accumulated due to slow processing. Machines that are designed with machine learning algorithms can analyze and comprehend more language data than humans because they have the ability to process more language patterns, thanks to NLP data.

How can a user assess the quality of Natural Language Processing (NLP) Data?

When determining the quality of NLP data, users should apply the data quality index (DQI) techniques to determine that the data entries are correct, there are no duplicates of specific data units, and that the referential integrity of the data is correct for a natural language processing database. A user can apply the core principles of DQI to filter out any traces of bias in the dataset while also assessing the validity of counterfactual data.

Where can I buy Natural Language Processing (NLP) Data?

Data providers and vendors listed on Datarade sell Natural Language Processing (NLP) Data products and samples. Popular Natural Language Processing (NLP) Data products and datasets available on our platform are Fully labelled Datasets of Arabic Language for Machine Learning - Text & Audio NLP Data - Kieli by Kieli, TAUS Language Translation Data | Parallel translation for E- Commerce, various language pairs by TAUS, and Agents Republic | Custom Multilingual Conversational AI Training Data via Audio/Voice (50+ languages) (synthetic) by Agents Republic.

How can I get Natural Language Processing (NLP) Data?

You can get Natural Language Processing (NLP) Data via a range of delivery methods - the right one for you depends on your use case. For example, historical Natural Language Processing (NLP) Data is usually available to download in bulk and delivered using an S3 bucket. On the other hand, if your use case is time-critical, you can buy real-time Natural Language Processing (NLP) Data APIs, feeds and streams to download the most up-to-date intelligence.

What are similar data types to Natural Language Processing (NLP) Data?

Natural Language Processing (NLP) Data is similar to Annotated Imagery Data, Machine Learning (ML) Data, Deep Learning (DL) Data, and Synthetic Data. These data categories are commonly used for Machine Learning (ML) and Deep Learning.

What are the most common use cases for Natural Language Processing (NLP) Data?

The top use cases for Natural Language Processing (NLP) Data are Machine Learning (ML), Deep Learning, and Data Science.