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.
| Component | What do you want to do? | Languages supported |
|---|---|---|
| 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 | 44+ languages |
| 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 | 8+ languages |
| Model Training Suite | Extract and link entities | 22+ languages for Entity Extractor 8+ languages for Event Extractor |
| Rosette Semantic Similarity | Interpret content | 11+ languages |
| Rosette Sentiment Analyzer | Interpret content | 6+ language types |
| Rosette Topic Extractor | Interpret content | 1+ language (English) |
