Text Data Labeling

Multilingual text data labeling for NLP models for healthcare, education, government and legal sectors

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INNOVATIVE

Your NLP solutions rely heavily on text labeling and annotation to understand the different bits of text. There are many different ways to label text, and your application may have very unique text data labeling requirements. With labeling you also capture the metadata related to the part of text giving your application the intelligence to understand the text it is processing. Your text data labeling may make or break your model depending on how well it is done.

At Hybrid Lynx we offer text data labeling services where we capture all the predefined components of text that your application needs. Our multilingual crowd is spread across the world, we are able to process large volumes of text on your platform or using our internal tools. Reach out today to discuss your requirements today.

REACH THE WORLD

Custom Multilingual Text Data Labeling

Chatbots

Natural Language Generation (NLG)

Optical Character Recognition (OCR)

Text to Speech

Get in touch to discuss your text data labeling and annotation requirements

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State of the Art Text Training Data

Multilingual Text

Whether you require text in English, a foreign language or multiple languages, we provide accurate and correct text data that fits your model's needs. We follow a strict quality standard in our text data acquisition pipeline delivering consistent output in over 130+ languages

Domain Specific Data

We provide general text content as well as domain specific text training data. We cover training data to legal, healthcare, education and government sectors. Our in-country resources produce the training text data for the industries and domains where they are educated and have work experience.

Text Data at Scale

NLP applications, in particular deep learning based solutions, require very large amounts of text training data to learn how to understand human language. We provide millions of words, across multiple languages, specific to your objectives. Every text output undergoes full QA.