This is a rule-based morphological analyzer for Classical Armenian (xcl). It is based on a formalized description of literary Classical Armenian morphology and uses uniparser-morph for parsing. It performs full morphological analysis of Classical Armenian words (lemmatization, POS tagging, grammatical tagging, glossing).
The analyzer is available as a Python package. If you want to analyze Classical Armenian texts in Python, install the module:
pip3 install uniparser-classical-armenian
Import the module and create an instance of ClassicalArmenianAnalyzer class. After that, you can either parse tokens or lists of tokens with analyze_words(), or parse a frequency list with analyze_wordlist(). Here is a simple example:
from uniparser_classical_armenian import ClassicalArmenianAnalyzer
a = ClassicalArmenianAnalyzer()
analyses = a.analyze_words('զՔրիստոսի')
# The parser is initialized before first use, so expect
# some delay here (usually several seconds)
# You will get a list of Wordform objects
# The analysis attributes are stored in its properties
# as string values, e.g.:
for ana in analyses:
print(ana.wf, ana.lemma, ana.gramm, ana.gloss)
# You can also pass lists (even nested lists) and specify
# output format ('xml' or 'json')
# If you pass a list, you will get a list of analyses
# with the same structure
analyses = a.analyze_words([['եւ'], ['Սիրեմ', 'զքեզ', ':']],
format='xml')
analyses = a.analyze_words(['զՔրիստոսի', [['եւ'], ['Սիրեմ', 'զքեզ', ':']]],
format='json')Refer to the uniparser-morph documentation for the full list of options.