What is Natural Language Annotation?
Natural language annotation is the key to unlocking human communication for machines. Our team carefully labels text and audio, transforming raw language data into a reservoir of insights for AI. We can identify and tag everything from sentiments and named entities to linguistic structures, creating the foundation of Natural Language Processing (NLP) models.
Our Clients
Natural Language Annotation Services
Aya Data offers a wide range of natural language annotation services to help you build high-quality datasets for your NLP projects. Our skilled annotation team, consisting of C1/C2 level linguists, provides expert annotations for various NLP tasks, ensuring your models are trained with accurate and contextually relevant data.
Named Entity Recognition
Named Entity Recognition (NER) identifies and classifies entities like names, organisations, and locations in text. Our team carefully labels each entity, enabling NLP models to extract structured data from unstructured text.
Sentiment Analysis
Sentiment analysis determines the emotional tone or opinion expressed in text, categorising it as positive, negative, or neutral. Our annotators carefully label text with appropriate sentiment, considering context and language nuances.
Audio/ Text Translation
We offer translation services for both audio and text, helping you reach diverse, multilingual audiences. Our team of native speakers and advanced linguists ensure accurate, culturally appropriate translations.
Reinforcement Learning from Human Feedback
RLHF (Reinforcement Learning from Human Feedback) is an advanced AI training method that integrates human input with machine learning. It enhances traditional reinforcement learning by incorporating human judgments, preferences, and ethical considerations. This approach helps AI models learn complex tasks, understand nuanced human expectations, and align more closely with social norms. RLHF is particularly valuable for tasks requiring sophisticated decision-making and ethical reasoning.
Why Use Aya for Your Natural Language Annotation Project
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Exceptional Customer EXPERIENCE
- 1. Consistent communication throughout projects
- 2. Transparent pricing across annotation tasks
- 3. Dedicated project management teams
- 4. Flexible workflows for various language needs
- 5. Ongoing support for evolving projects
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Unwavering QUALITY
- 1. Custom quality control for diverse linguistic annotations
- 2. Innovative solutions for complex language challenges
- 3. Strict ethical guidelines for sensitive content
- 4. Clear paths for linguistic feedback integration
- 5. Consistent, high-quality language data delivery
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Unparalleled EXPERTISE
- 1. Skilled team of C1/C2 level linguists
- 2. Expert annotations for various language tasks
- 3. Multilingual proficiency across numerous languages
- 4. Contextually relevant data for model training
- 5. Proven success in enhancing AI language performance
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Natural Language Case Study
Building African Language Voicebots to Enable Better B2C Interactions
Aya Data collaborated with a financial services company to develop and deploy voicebot solutions in five local African dialects. By collecting and annotating thousands of hours of voice data, we trained models to recognise intents from voice commands and link them to appropriate responses within a custom voicebot architecture. The voicebots handled 50% of customer inquiries, improving customer service efficiency, reducing operational costs, and enhancing customer experiences.
Combining Soil Acidity Data with Product Sales to Create Unique Business Intelligence
Demeter valued soil acidity data for sales but struggled to use it effectively. They partnered with Aya Data to create a custom interactive dashboard. This collaboration helped Demeter optimise their sales approach, leading to significant growth after implementation.