Flight-School / Pos
Licence: mit
A command-line utility for tagging part of speech for words in text.
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Programming Languages
swift
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pos
pos is a command-line utility for tagging
part of speech (POS) for words in text.
$ echo "The quick brown fox jumps over the lazy dog." | pos
DETERMINER The
ADJECTIVE quick
ADJECTIVE brown
NOUN fox
VERB jumps
PREPOSITION over
DETERMINER the
ADJECTIVE lazy
NOUN dog
For more information about natural language processing, check out Chapter 7 of the Flight School Guide to Swift Strings.
Requirements
- macOS 10.12+
Installation
Install pos with Homebrew using the following command:
$ brew install flight-school/formulae/pos
Usage
Text can be read from either standard input or file arguments. Tagged words are written to standard output on separate lines.
Reading from Piped Standard Input
$ echo "Designed by Apple in California." | pos
VERB Designed
PREPOSITION by
NOUN Apple
PREPOSITION in
NOUN California
Reading from Standard Input Interactively
$ pos
This text is being typed into standard input.
DETERMINER This
NOUN text
VERB is
VERB being
VERB typed
PREPOSITION into
ADJECTIVE standard
NOUN input
Reading from a File
$ cat german-pangram.txt
Falsches Üben von Xylophonmusik quält jeden größeren Zwerg
$ pos german-pangram.txt
ADJECTIVE Falsches
NOUN Üben
PREPOSITION von
NOUN Xylophonmusik
VERB quält
DETERMINER jeden
ADJECTIVE größeren
NOUN Zwerg
Advanced Usage
pos can be chained with
Unix text processing commands,
like cut, sort, uniq, comm, grep sed, and awk.
Filtering Tags
$ pos german-pangram.txt | grep NOUN | cut -f2
Üben
Xylophonmusik
Zwerg
Additional Details
Tagged words are written to standard output on separate lines.
Each line consists of
the part of speech tag (see table below),
followed by a tab (\t),
followed by the token:
^(?<tag>([A-Z]+)\t(?<token>.+)$
pos uses
NLTagger
when available,
falling back on
NSLinguisticTagger
for older versions of macOS.
Part of Speech Tags
ADJECTIVEADVERBCLASSIFIERCONJUNCTIONDETERMINERIDIOMINTERJECTIONNOUNNUMBERPARTICLEPREPOSITIONPRONOUNVERB
License
MIT
Contact
Mattt (@mattt)
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