uniparser-ossetic 2.0.0

Rule-based morphological analysis for Ossetic (Iron)

Ossetic (Iron) morphological analyzer

This is a rule-based morphological analyzer for Ossetic (oss). It is based on a formalized description of the morphology of literary Ossetic, which is based on the Iron dialect, and uses uniparser-morph for parsing. It performs full morphological analysis of Ossetic words (lemmatization, POS tagging, grammatical tagging).

How to use

Python package

The analyzer is available as a Python package. If you want to analyze Ossetic texts in Python, install the module:

pip3 install uniparser-ossetic

Import the module and create an instance of OsseticAnalyzer class. Set mode='strict' if you are going to process text in standard orthography, or mode='nodiacritics' if you expect the ӕ character to be misrepresented in some words (either as an identically looking Latin character or as ае). 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_ossetic import OsseticAnalyzer
a = OsseticAnalyzer(mode='strict')

analyses = a.analyze_words('ӕвзаджы')
# 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)

# You can also pass lists (even nested lists) and specify
# output format ('xml', 'json' or 'conll')
# If you pass a list, you will get a list of analyses
# with the same structure
analyses = a.analyze_words([['Фӕлӕ'], ['Æз', 'дæ', 'уарзын', '.']],
	                       format='xml')
analyses = a.analyze_words([['Фӕлӕ'], ['Æз', 'дæ', 'уарзын', '.']],
	                       format='conll')
analyses = a.analyze_words(['ӕвзаджы', [['Фӕлӕ'], ['Æз', 'дæ', 'уарзын', '.']]],
	                       format='json')

Refer to the uniparser-morph documentation for the full list of options.

Word lists

Alternatively, you can use a preprocessed word list. The wordlists directory contains a list of words from a 12-million-word Ossetic National Corpus (wordlist.csv) with 438,000 unique tokens, list of analyzed tokens (wordlist_analyzed.txt; each line contains all possible analyses for one word in an XML format), and list of tokens the parser could not analyze (wordlist_unanalyzed.txt). The recall of the analyzer on the corpus texts is about 90%.

Description format

The description is carried out in the uniparser-morph format and involves a description of the inflection (oss_paradigms.txt), a grammatical dictionary (oss_lexemes.txt), a list of productive lemma-changing derivations (derivations.txt), and a short list of analyses that should be avoided (bad_analyses.txt). The dictionary contains descriptions of individual lexemes, each of which is accompanied by information about its stem, its part-of-speech tag and some other grammatical information, its inflectional type (paradigm), and Russian and/or English translation. See more about the format in the uniparser-morph documentation.