NLP & Speech Technology
Natural Language Processing (NLP) technology is rapidly evolving due to an increased interest in human-to-machine communications. NLP makes it possible for computers to read text, understand speech, interpret it, summarize it and measure sentiment. NLP is the driving force behind many AI solutions, but it requires a lot of adeptly handled, labeled and organized training data. The more data you use to train your model, the better it gets.
At Appen, we're proud of our strong linguistic background. We have global crowd who work in over 170 countries and have expertise in over 235 languages. We've helped countless companies across industries like retail/e-commerce, finance, insurance, medical, transportation and more achieve their NLP project goals.
We provide the training data to help build intelligent systems capable of understanding and extracting meaning from human text and speech for a diverse range of use cases, such as chatbots, voice assistants, search relevance, sentiment analysis and more.



End-to-End Data Collection:
Off-the-Shelf Datasets
You can also browse through our collection of diverse off-the-shelf datasets, over 250 datasets, comprising over 11,000 hours of audio, over 25,000 images and over 8.7 million words across 80 languages and multiple dialects including:
- Fully transcribed datasets for broadcast, call center, in-car, and telephony applications
- Pronunciation lexicons, both general and domain specific (e.g., names, places, natural numbers)
- POS-tagged lexicons and thesauri
- Text corpora annotated for morphological information and named entities

Annotation Capabilities
With a large range of data annotation capabilities built to serve many different industries, we are well-placed to serve a variety of project types.
Many of our annotation capabilities have Smart Labeling features which use machine learning assistance in the data annotation process to automate and improve productivity, quality, and delivery of your data collection and data annotation projects.
Text
Audio
Learn more about how we can help you with your next NLP project
Delivering Confidence for your AI Projects
Quality
Speed
Scale
Security

Linguistics
Build an AI product that aims to replicate and extend human communication and reasoning (and delight users) by including linguists in the design, development and tuning of AI for human interaction. As experts in natural communication, language behaviours and structures, linguists can help you to understand why users are behaving in this way – and what to do about it.
At each stage of development, our linguists and language experts will partner with you to evaluate sample outputs and support targeted tuning of AI engines, training data and specifications. Our goal is a highly effective and efficient end-to-end product development partnership that will get you the results you want quickly and cost-effectively. Our services include:
- Language Technology QA & Usability Testing
- Dictionaries and Text Corpora
- Localization Consulting
- Linguistic Consulting

Secure Data Access
Data security requirements are met for customers working with personally identifiable information (PII), protected health information (PHI), and other sophisticated compliance needs.
Enterprise-level security to protect sensitive client data




Secure Crowd
We offer a suite of secure service offerings with flexible options to ensure data security via secure facilities, secure remote workers, and onsite services to meet specific business needs.
Enterprise-level security to protect sensitive client data




Secure Facilities
We have sites in multiple geographies to support projects with Personally Identifiable Information (PII) and other sensitive data, as well as the right people, policies, and processes in place for a range of security levels, up to government level certification.
Enterprise-level security to protect sensitive client data




Secure Workspace
With our ISO 27001 accredited remote Secure Workspace solution, our global crowd can work on your sensitive projects remotely, without having to access a physical secure facility. This allows the diversity of our remote crowd to reduce bias and support multiple languages even through global disruptions.
Enterprise-level security to protect sensitive client data



