I am currently working on a project, part of which is for presentation at JK30 this year in March hosted at SFU, and I have been extensively searching for a part of speech (POS) segmenter/tagger capable of handling Korean text.
The one I currently have access to and could make execute is relatively outdated and requires many modifications to execute runs on the data.
I do not have a strong background in Python and have zero background in Java and my operating system is Windows.
I wonder if anyone may be able to recommend how may be the best way to go about segmenting Korean text data so that I can examine collocates with the aim of determining semantic prosody, and/or point me in the direction of a suitable program/software.
Kerry Sluchinski You might try the following user-friendly POS taggers/segmenters for Korean language data:
1. KoNLPy: KoNLPy is a Python module for Korean natural language processing. It features a POS tagger as well as numerous tools for Korean language processing. KoNLPy is straightforward and well-documented.
2. KOMORAN: KOMORAN is a Korean morphological analyzer and POS tagger that is free source. It is available as a command-line utility and as a Java library. For testing reasons, KOMORAN offers a user-friendly online interface.
3. Hannanum is a Korean morphological analyzer and POS tagger. It is a Java library that is built on a dictionary-based approach. Hannanum is simple to use and provides a user-friendly online interface for testing.
4. Korean Parser: Korean Parser is a dependency parser and part-of-speech tagger for Korean. It is written in Python and may be used as either a command-line utility or a Python library. Korean Parser is straightforward and well-documented.
5. Lingua-STS: Lingua-STS is a web-based tool for processing Korean language. It features a POS tagger as well as numerous tools for Korean language processing. Lingua-STS is simple to use and features an intuitive online interface.
These tools are all simple to use and may be used to separate Korean text data and conduct POS tagging.
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