Babel Street Analytics addresses intricate languages with skill and expertise
With its exceptional natural language processing (NLP) capabilities, Babel Street Analytics is proficient in handling a wide variety of intricate languages, including those that use multiple character sets such as Arabic, Chinese, English, Japanese, Korean, Russian, and Thai.
The language-specific tools of Analytics are supported by a team of linguistic experts, both in-house and external, ensuring that it maintains its position as a leading provider of NLP and content intelligence.
Additionally, Analytics continually improves and expands its language support to better serve its clients.
Languages are counted and documented in the following ways:
- Each ISO language code counts as a separate language.
- The plus sign means “and counting.
Rosette Name Indexer (with studio tool)
Match identity
24+ languages
73+ Cross-language matches
Rosette Name Translator
Match identity
15+ language pairs
12+writing systems
Rosette Base Linguistics
Analyze language
Rosette Language Identifier
Analyze language
66+ languages
18+ language scripts
236+ encodings
Rosette Entity Extractor
Extract and link entities
24+ languages
19+ relationship types
Rosette Event Extraction
Extract and link entities
Model Training Suite
Extract and link entities
22+ languages for Entity Extractor
8+ languages for Event Extractor
Rosette Semantic Similarity
Interpret content
Rosette Sentiment Analyzer
Interpret content
Rosette Topic Extractor
Interpret content
1+ language (English)