OpenNLP English Pipeline
The English tokeniser, sentence splitter, POS tagger, phrase chunker and named-entity recogniser from Apache OpenNLP. The components are based on the maxent machine learning algorithm, and produce Token and Sentence annotations in a form compatible with other standard GATE tools.
| Default annotations | |
| :Person | Standard named entity types |
| :Location | |
| :Organization | |
| :Date | |
| Additional annotations available if selected | |
| :Money | Monetary amounts |
| :Percentage | Expressions representing percentages |
| :Time | Time expressions |
| :Sentence | Sentences detected by the sentence splitter |
| :Token | The individual tokens of the text, with "category" feature for POS and "chunk" feature for for the I/O/B-style chunk tags. Complete chunks derived from the tags are also available as their respective annotation types (e.g. a sequence of tokens tagged B-NP, I-NP, I-NP gives rise to an "NP" annotation spanning the sequence). |
Use this pipeline
You can process up to 1,200 documents per day free of charge using the REST API, at an average rate of 2 documents/sec. Higher quotas are available for research users by arrangement, contact us for details.
The API endpoint for this pipeline is:
You can process any amount of data with this pipeline on a pay-as-you-go basis, for £0.80 per hour. This can be data you upload yourself, data you collected from Twitter, or the results of a previous job.
