Overview

GreynirCorrect can be used in three modes, depending on your requirements.

• You can use it as a Python package to proofread text at the token (word) level, correcting and annotating individual errors in the token stream.

• It can also perform more extensive grammar checking at the sentence level, returning a list of annotations for each sentence.

• Finally, it can be used as a command-line tool, at the token level, to consume an input file stream (or stdin) and write to a corrected output file stream (or stdout).

These modes are described below. The Reference section contains further detail.

Token-level correction

GreynirCorrect can tokenize text and return an automatically corrected token stream. This catches token-level errors, such as spelling errors and erroneous fixed phrases (?að ýmsu leiti → að ýmsu leyti), but not grammatical errors. The returned token objects are annotated with explanations of each correction or suggestion.

Token-level correction is relatively fast.

Full grammar analysis

GreynirCorrect can analyze text grammatically by attempting to parse each sentence in turn, after token-level correction. The parsing is done according to Greynir’s context-free grammar for Icelandic, augmented with additional production rules for common grammatical errors (?Manninum á verkstæðinu vantaði hamar → Manninn á verkstæðinu vantaði hamar). The analysis returns each sentence along with a set of annotations (errors and suggestions) that apply to spans (consecutive tokens) within the sentence, in addition to individual token annotations.

Full grammar analysis of sentences is slower than token-level correction.

Command-line tool

GreynirCorrect can be invoked as a command-line tool to perform token-level correction. The command is correct infile.txt outfile.txt, where infile.txt and outfile.txt are the input and output filenames, respectively.

The command-line tool is further documented here.

Examples

To perform token-level correction from Python code:

from reynir_correct import tokenize
g = tokenize("Af gefnu tilefni fékk fékk daninn vilja sýnum "
    "framgengt í auknu mæli.")
for tok in g:
    print("{0:10} {1}".format(tok.txt or "", tok.error_description))

Output:

Að         Orðasambandið 'Af gefnu tilefni' var leiðrétt í 'að gefnu tilefni'
gefnu
tilefni
fékk       Endurtekið orð ('fékk') var fellt burt
Daninn     Orð á að byrja á hástaf: 'daninn'
vilja      Orðasambandið 'vilja sýnum framgengt' var leiðrétt í 'vilja sínum framgengt'
sínum
framgengt
í          Orðasambandið 'í auknu mæli' var leiðrétt í 'í auknum mæli'
auknum
mæli
.

To perform full spelling and grammar analysis of a sentence from Python code:

from reynir_correct import check_single
sent = check_single("Páli, vini mínum, langaði að horfa á sjónnvarpið.")
for annotation in sent.annotations:
    print("{0}".format(annotation))

Output:

000-004: P_WRONG_CASE_þgf_þf Á líklega að vera 'Pál, vin minn' / [Pál , vin minn]
009-009: S004   Orðið 'sjónnvarpið' var leiðrétt í 'sjónvarpið'

>>> sent.tidy_text

Output:

'Páli, vini mínum, langaði að horfa á sjónvarpið.'

Note that the annotation.start and annotation.end properties (here start is 0 and end is 4) contain the indices of the first and last tokens to which the annotation applies. P_WRONG_CASE_þgf_þf and S004 are error codes.