Posts

Splitting text into sentences: Russian edition

Splitting text into sentences is one of those tasks that looks simple but on closer inspection is more difficult than you think. A common approach is to use regular expressions to divide up the text on punction marks. But without adding layers of complexity, that method fails on some sentences. This is a method using spaCy.

My favourite Cyrillic font

I’ve tried a lot of fonts for Cyrillic. My favourite is Georgia.

As a non-native Russian speaker, there’s something about serif fonts, either on-screen or in print, that makes the text so much more legible.

The cancellation of Russian music

Free speech in Russia has never been particularly favoured. The Romanov dynasty remained in power long past their expiration date by suppressing waves of free thought, from the ideals of the Enlightenment, to the anti-capitalist ideals of Marx and Engels. At least, until the 1917 Revolution. And even then, the Bolsheviks continue to suppress dissent for the entire seventy-something year history of the Soviet Union. Perestroika and the collapse of the Soviet Union promised change. But the change was fleeting.

Bash variable scope and pipelines

I alluded to this nuance involving variable scope in my post on automating pdf processing, but I wanted to expand on it a bit.

Consider this little snippet:

i=0
printf "foo:bar:baz:quux" | grep -o '[^:]\+' | while read -r line ; do
   printf "Inner scope: %d - %s\n" $i $line
   ((i++))
   [ $i -eq 3 ] && break;
done
printf "====\nOuter scope\ni = %d\n" $i;

If you run this script - not in interactive mode in the shell - but as a script, what will i be in the outer scope? And why?

Automating the handling of bank and financial statements

In my perpetual effort to get out of work, I’ve developed a suite of automation tools to help file statements that I download from banks, credit cards and others. While my setup described here is tuned to my specific needs, any of the ideas should be adaptable for your particular circumstances. For the purposes of this post, I’m going to assume you already have Hazel. None of what follows will be of much use to you without it. I’ll also emphasize that this is a macOS-specific post. Bear in mind, too, that companies have the nasty habit of tweaking their statement formats. That fact alone makes any approach like this fragile; so be aware that maintaining these rules is just part of the game. With that out of the way, let’s dive in.

Bulk rename tags in DEVONthink 3

In DEVONthink, I tag a lot. It’s an integral part of my strategy for finding things in my paperless environment. As I wrote about previously hierarchical tags are a big part of my organizational system in DEVONthink. For many years, I tagged subject matter with tags that emmanate from a single tag named topic_, but it was really an unnecessary top-level complication. So, the first item on my to-do list was to get rid of the all tags with a topic_ first level.

Stripping Russian syllabic stress marks in Python

I have written previously about stripping syllabic stress marks from Russian text using a Perl-based regex tool. But I needed a means of doing in solely in Python, so this just extends that idea.

#!/usr/bin/env python3

def strip_stress_marks(text: str) -> str:
   b = text.encode('utf-8')
   # correct error where latin accented ó is used
   b = b.replace(b'\xc3\xb3', b'\xd0\xbe')
   # correct error where latin accented á is used
   b = b.replace(b'\xc3\xa1', b'\xd0\xb0')
   # correct error where latin accented é is used
   b = b.replace(b'\xc3\xa0', b'\xd0\xb5')
   # correct error where latin accented ý is used
   b = b.replace(b'\xc3\xbd', b'\xd1\x83')
   # remove combining diacritical mark
   b = b.replace(b'\xcc\x81',b'').decode()
   return b

text = "Том столкну́л Мэри с трампли́на для прыжко́в в во́ду."

print(strip_stress_marks(text))
# prints "Том столкнул Мэри с трамплина для прыжков в воду."

The approach is similar to the Perl-based tool we constructed before, but this time we are working working on the bytes object after encoding as utf-8. Since the bytes object has a replace method, we can use that to do all of the work. The first 4 replacements all deal with edge cases where accented Latin characters are use to show the placement of syllabic stress instead of the Cyrillic character plus the combining diacritical mark. In these cases, we just need to substitute the proper Cyrillic character. Then we just strip out the “combining acute accent” U+301\xcc\x81 in UTF-8. After these replacements, we just decode the bytes object back to a str.