Keywords: part of speech, tagger, Stanford, python, NLTK
The Stanford PoS Tagger is itself written in Java, so can be easily integrated in and called from Java programs. However, many linguists will rather want to stick with Python as their preferred programming language, especially when they are using other Python packages such as NLTK as part of their workflow. And while the Stanford PoS Tagger is not written in Python, it can nevertheless be more or less seamlessly integrated into Python programs. In this tutorial, we will be looking at two principal ways of driving the Stanford PoS Tagger from Python and show how this can be done with single files and with multiple files in a directory.
Sorry, there is no feedback available. Be the first one to provide feedback!
Institution: | linguisticsweb.org |
Year of publication: | 2019 |
Language: | english |
Type: | Tutorial |
Audience: | linguists |
Level: | ------ |
Prerequisites: | |
Media: | text/html |
Objective: | Learn how to run the Stanford POS tagger from python |
Licence: | |
Access: | open |
Creation date: | Wednesday, 10 June 2020 18:07:01 |
Last modified: | Saturday, 27 April 2024 03:36:59 |
BibTeX type: | @misc |
@misc(TeLeMaCo:430, author = "Bartsch, Sabine", title = "{S}tanford {P}o{S} {T}agger: tagging from {P}ython", year = "2019", url = "http://www.linguisticsweb.org/doku.php?id=linguisticsweb:tutorials:linguistics\_tutorials:automaticannotation:stanford\_pos\_tagger\_python" )