Package for converting SIL IPA93 legacy font to unicode
This package converts text encoded using the legacy SIL IPA93 font to unicode.
It contains one function, convert_to_unicode(), which relies on a dictionary mapping IPA93 glyph codes to their corresponding unicode code point(s). This is useful if, for example, you are working with a resource like the [MOSS Aphasia MAPPD dataset] (https://www.mappd.org/about.html).
The package also exposes the dictionary itself, sil_to_unicode_dict, in case it is more convenient to use that directly. Lastly, this package contains a list of all the unicode diacritics (ipa_diacritics_unicode), which may be useful for removing diacritics from the input in a post-processing step.
- The IPA93 glyph access codes (and descriptions in the comments) were copied from the file Ipa93.pdf, which can be found in the [IPA93 fonts zip archive] (https://scripts.sil.org/cms/scripts/render_download.php?format=file&media_id=silipa93-2.00.zip&filename=silipa93.zip).
- Glyph access code 202 "minute space" does not have an obvious unicode equivalent and is not handled in this package.
- The interpretation of glyph access codes 232, 134, 216, 128, 133, 217 in this package is based on [ipa-braille-final.pdf] (http://brailleauthority.org/ipa/ipa-braille-final.pdf) and understood to represent various tone bars (see http://www.internationalphoneticalphabet.org/ipa-charts/tones-and-accents/ as well as comments in the code).
The following code snippet illustrates the usage of the function convert_to_unicode, which takes a string of SIL IPA93 glyph access codes and returns an equivalent unicode string. In this example, we assume the input excel file MAPPD.xlsx contains a structured data set in which the IPA93 data lives in a column called "Phonetic_response." We send each data point in this column to convert_to_unicode(), store the result in a new column called "New_phonetic_response," and write the new data set to a file called "MAPPD.new.xlsx":
import pandas as pd mappd_df = pd.read_excel('MAPPD.xlsx') # The input to convert_to_unicode() is a string so handle null values # appropriately first. mappd_df['New_phonetic_response'] = mappd_df.Phonetic_response.fillna('') mappd_df.New_phonetic_response = mappd_df.New_phonetic_response.map(lambda x: convert_to_unicode(x)) mappd_df.to_excel('MAPPD.new.xlsx', index=False)
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