What is Apache OpenNLP?
The Apache OpenNLP library is a machine learning based toolkit designed for the processing of natural language text. It provides support for a wide array of common NLP tasks.
Such tasks supported by OpenNLP, include sentence segmentation, tokenization, lemmatization, part-of-speech tagging, named entity extraction, chunking, parsing, language detection, and coreference resolution. The library is designed to be readily integrated into various applications requiring robust natural language processing capabilities.
Features
- Sentence Segmentation: Detects sentence boundaries in text.
- Tokenization: Splits text into individual tokens (words, punctuation, etc.).
- Lemmatization: Determines the base or dictionary form of words.
- Part-of-Speech Tagging: Assigns part-of-speech tags (noun, verb, adjective, etc.) to words.
- Named Entity Extraction: Identifies and classifies named entities (person, organization, location, etc.).
- Chunking: Groups words into phrases based on syntactic structure.
- Parsing: Analyzes the grammatical structure of sentences.
- Language Detection: Identifies the language of a given text.
- Coreference Resolution: Determines which words refer to the same entities in a text.
Use Cases
- Text analysis
- Natural language understanding
- Building custom NLP pipelines
- Integrating NLP capabilities into applications
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