Nothing makes me grrr like a more a regular expression like this:
let wordRegExp = /[a-zA-Z]+/g // UGH
That says that tokens are sequences of lowercase or uppercase ASCII letters.
Feel free to scoff dismissively!
This is not to say that tokenization is simple in a generic sense by any means, but there are much better defaults than using something like the regex above. In this post Iâll give you a brief post of one of them, Intl.Collator
.
The docs Iâve found on this stuff are a little thin, so Iâm going to try to show you some snippets that help with string matching.
Iâll be using the transcribed forms from some old fieldwork of my own, which you can see here:
https://docling.net/book/data/languages/hiligaynon/corpus/education_in_jaro/education_in_jaro.html
The word weâll look at (a borrowing from English) is the word âtopicâ, which shows up three times in the text. In one of them, the stress is marked on the second syllable, so itâs spelled «topĂc». (Yeah, I know, it would probably be better to spell it «topĂk» and «topik». )
Anyway, these two spellings obvious arenât the same string:
"topĂc" == "topic"
false
. But sometimes we might want to be able treat it as true, say, if youâre in a fieldmethods class, and you are still working out the stress system. (Or trying to. Stress in Hiligaynon depends on whether Venus is in the house of Aquarius. Or something.)
Intl.Collator
can be made to do this without too much trouble. When you create a Collator
instance (using the new
keyword), it has a .compare
method which accepts two strings as arguments:
new Intl.Collator('en').compare("topĂc", "topic")
This returns 1
, which means âthese are NOT alphabetized.â
new Intl.Collator('en').compare("topic","topĂc")
This returns -1
, which means âthese ARE alphabetized.â
Thereâs one more possibility: the strings are exactly the same. That gets a 0
as a return value:
new Intl.Collator('en').compare("topic","topic")
Which returns 0
, which means âthese are the same stringâ.
Hereâs a summary table (I have bolded the forms with accents to make the pattern stand out):
strings | .compare(a,b) | meaning |
---|---|---|
topic, topĂc | -1 |
in order |
topĂc, topic | 1 |
out of order |
topĂc, topĂc | 0 |
identical |
topic, topic | 0 |
identical |
I donât know about you, but I find this precisely the opposite of what I would expect. Shouldnât âin orderâ be
1
and âout of orderâ be-1
??
So essentially, what we want is some way to make the first two rows return 0
.
Hereâs how you do that. You add a second argument to the Intl.Collator
instantiation (not to the .compare()
call!). This is the options object, with the property sensitivity
and value base
. âBaseâ here basically means âeverything but the diacriticsâ.
new Intl.Collator('en', {sensitivity: "base"})
.compare("topĂc", "topic")
That returns 0
. Of course, given that we are ignore the diacritics, the order no longer matters:
new Intl.Collator('en', {sensitivity: "base"})
.compare("topic", "topĂc")
Also 0
.
Or to summarize again:
strings | {sensitivity:"base"} |
meaning |
---|---|---|
topic, topĂc | 0 |
identical |
topĂc, topic | 0 |
identical |
topĂc, topĂc | 0 |
identical |
topic, topic | 0 |
identical |
Using this to filter an array
Okay, so what? Well, this can be used as the basis for a simple diacritic-insensitive search.
let words = [ "akĂł", "ha", "ko", "ko", "ma-topic", "na", "next",
"pa-sĂșnud-ĂČn", "subĂłng", "topic", "topĂc" ]
let matches = words.filter(form => {
let comparison = new Intl.Collator('en', {sensitivity: "base"}).compare("topic", form)
return comparison === 0
})
Now matches contains:
[
"topic",
"topĂc"
]
Notice that we are missing "ma-topic"
, which in fact does contain our word. This is because the approach above matches whole strings.
We could do other stuff to catch that one too, but I gotta get lunch people.