Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Develop applications utilizing conversational language understanding, an advanced AI capability that interprets user intentions and extracts crucial details from informal dialogue. Design customizable intent classification and entity extraction models tailored to your specific terminology across 96 different languages, allowing for multilingual functionality without the need for retraining after initial training in one language. Swiftly generate intents and entities while tagging your own utterances, and incorporate prebuilt components from an extensive range of standard types. Assess your models using integrated quantitative metrics such as precision and recall to ensure optimal performance. A user-friendly dashboard simplifies the management of model deployments within the accessible language studio. Effortlessly integrate with various other features in Azure AI Language, alongside Azure Bot Service, to create a comprehensive conversational experience. This conversational language understanding represents the evolution of Language Understanding (LUIS) and enhances the way users interact with technology. As the demand for intuitive communication increases, leveraging this technology can significantly improve user engagement and satisfaction.
Description
The Language Translator offers the ability to convert text between different languages seamlessly, allowing users to access global news in their preferred language. This service enhances communication with customers by enabling interactions in their native languages, among other features. It provides a range of domain-specific models to cater to various industries. Users can also tailor translations to reflect unique terminology and language nuances, utilizing three customization options: forced glossary, parallel phrases, and corpus-level modifications. In contrast to other translation services, IBM ensures your privacy and maintains ownership of your data. The IBM Watson Language Translator Service is designed for application developers, providing them with the tools to implement multiple specialized translation models. Furthermore, it allows for the immediate translation of documents, applications, and websites, facilitating entry into new markets. Users can also develop multilingual chatbots, ensuring that customer communication is personalized and effective, thus enhancing overall engagement. This comprehensive approach to translation and customization sets IBM apart in the realm of language services.
API Access
Has API
No
API Access
Has API
Yes
Integrations
Azure AI Bot Service
Yes
Azure AI Services
Yes
Crowdin
No
IBM Data Refinery
No
IBM Watson Studio
No
LUIS
Yes
Microsoft Azure
Yes
Microsoft Bot Framework
Yes
PubNub
No
Integrations
Azure AI Bot Service
No
Azure AI Services
No
Crowdin
Yes
IBM Data Refinery
Yes
IBM Watson Studio
Yes
LUIS
No
Microsoft Azure
No
Microsoft Bot Framework
No
PubNub
Yes
Pricing Details
$2 per month
Free Trial
Yes
Free Version
No
Pricing Details
$0.02 per thousand characters
in custom model translations
Free Trial
Yes
Free Version
Yes
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
Yes
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
Yes
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Vendor Details
Company Name
Microsoft
Founded
1975
Country
United States
Website
azure.microsoft.com/en-us/products/ai-services/conversational-language-understanding/
Vendor Details
Company Name
IBM
Founded
1911
Country
United States
Website
www.ibm.com/watson/services/language-translator/
Product Features
Natural Language Processing
Co-Reference Resolution
No
In-Database Text Analytics
No
Named Entity Recognition
No
Natural Language Generation (NLG)
No
Open Source Integrations
No
Parsing
No
Part-of-Speech Tagging
No
Sentence Segmentation
No
Stemming/Lemmatization
No
Tokenization
No