Table of Contents generated with DocToc
InterText: Services for Recurrent Text-related Tasks
Ansi Colors (??? or keep in CND)
- use TrueColors for modern terminal emulators
Number Formatting
_format = require 'number-format.js'
format_float = ( x ) -> _format '#,##0.000', x
format_integer = ( x ) -> _format '#,##0.', x
format_as_percentage = ( x ) -> _format '#,##0.00', x * 100
Tabulation, width_of
Hyphenation
Implemented with mnater/hyphenopoly
.
-
INTERTEXT.HYPH.hyphenate = ( text ) ->
: return the text with soft hyphens (U+00ad) inserted. For
languages other than US English, INTERTEXT.HYPH.new_hyphenator = ( settings ) ->
may in a future version
be used to obtain a custom hyphenation function.
-
INTERTEXT.HYPH.count_soft_hyphens = ( text ) ->
: Count occurances of U+00ad in text
.
-
INTERTEXT.HYPH.reveal_hyphens = ( text, replacement = '-' ) ->
: Replace all soft hyphens with
replacement
.
Turning Texts into "Slabs"
What to call the part of a word that is separated from others by breakpoints
The addressable unit of memory on the NCR 315 series is a "slab", short for "syllable", consisting of 12
data bits and a parity bit. Its size falls between a byte and a typical word (hence the name, 'syllable').
A slab may contain three digits (with at sign, comma, space, ampersand, point, and minus treated as
digits) or two alphabetic characters of six bits each.—Wikipedia, "NCR
315"
Slabs used to be known as 'Logotypes' in typesetting:
There were later attempts to speed up the typesetting process by casting syllables or entire words as one
piece. Those pieces were called logotypes—from Ancient Greek “lógos” meaning
“word”.—(typography.guru)[https://typography.guru/journal/words-and-phrases-in-common-use-which-originated-in-the-field-of-typography-r78/]
HTML
HTML Parsing
HTML parsing uses atlassubbed/atlas-html-stream
to
turn HTML5 texts into series of datoms. Two HTML formats are
supported:
- plain HTML5, and
- MKTScript, a nascent crossbreed of a kind-of MarkDown with HTMLish tags.
Unless you know what you're after you'll probably want to use the plain HTML5 flavor.
After { HTML, } = require 'intertext'
, use one of these methods:
-
HTML.html_as_datoms = ( text ) ->
to turn HTML fragments or entire documents into a list of datoms, or
-
HTML.mkts_html_as_datoms = ( text ) ->
to do the same with MKTScript.
Both methods work pretty much the same and are the inverse operations to HTML.datom_as_html()
:
- All opening tags will be turned into datoms whose
$key
is the tagname prefixed with the left pointy
bracket as sigil, and attribute name/value pairs becoming properties of the datom. - Closing tags will be turned into datoms whose
$key
is the tagname prefixed with the right pointy bracket
as sigil. - For plain HTML, 'lone'/'self-closing' tags will be treated like an opening tag immediately followed by a
closing tag. as sigil.
- For MKTScript, 'lone'/'self-closing' tags will be turned into datoms whose
$key
is the tagname prefixed
with the caret as sigil. - Intermittent text will be turned into datoms whose
$key
is ^text
and whose contents are stored under
the text
property. - Whitespace will be preserved.
HTML Generation
{ HTML, } = require 'intertext'
Example: HTML Parsing and HTML Generation
text = """<!DOCTYPE html>
<h1><strong>CHAPTER VI.</strong> <name ref=hd553>Humpty Dumpty</h1>
<p id=p227>However, the egg only got larger and larger, and <em>more and more human</em>:<br>
when she had come within a few yards of it, she saw that it had eyes and a nose and mouth; and when she
had come close to it, she saw clearly that it was <name ref=hd556>HUMPTY DUMPTY</name> himself. ‘It can’t
be anybody else!’ she said to herself.<br/>
‘I’m as certain of it, as if his name were written all over his face.’
"""
for d in HTML.html_as_datoms text
log JSON.stringify d
log '-'.repeat 108
log ( HTML.datom_as_html d for d in datoms ).join ''
... will produce:
{ "$key": "^doctype", "$value": "html", }
{ "$key": "^text", "text": "\n", }
{ "$key": "<h1", }
{ "$key": "<strong", }
{ "$key": "^text", "text": "CHAPTER VI.", }
{ "$key": ">strong", }
{ "$key": "^text", "text": " ", }
{ "$key": "<name", "ref": "hd553", }
{ "$key": "^text", "text": "Humpty Dumpty", }
{ "$key": ">h1", }
{ "$key": "^text", "text": "\n\n", }
{ "$key": "<p", "id": "p227", }
{ "$key": "^text", "text": "However, the egg only got larger and larger, and ", }
{ "$key": "<em", }
{ "$key": "^text", "text": "more and more human", }
{ "$key": ">em", }
{ "$key": "^text", "text": ":", }
{ "$key": "<br", }
{ "$key": "^text", "text": "\n\nwhen she had come within ... she saw clearly that it was ", }
{ "$key": "<name", "ref": "hd556", }
{ "$key": "^text", "text": "HUMPTY DUMPTY", }
{ "$key": ">name", }
{ "$key": "^text", "text": " himself. ‘It can’t\nbe anybody else!’ she said to herself.", }
{ "$key": "<br", }
{ "$key": ">br", }
{ "$key": "^text", "text": "\n\n‘I’m as certain ... all over his face.’\n", }
<!DOCTYPE html>
<h1><strong>CHAPTER VI.</strong> <name ref=hd553>Humpty Dumpty</h1>
<p id=p227>However, the egg only got larger and larger, and <em>more and more human</em>:<br>
when she had come within a few yards of it, she saw that it had eyes and a nose and mouth; and when she
had come close to it, she saw clearly that it was <name ref=hd556>HUMPTY DUMPTY</name> himself. ‘It can’t
be anybody else!’ she said to herself.<br></br>
‘I’m as certain of it, as if his name were written all over his face.’
As can be seen, no validation will be done, and the parser will happily produce events for unclosed and
unbalanced closing tags. There is a minor issue with the <br></br>
tag pair which will get resolved in
a future version.
Codepoint Characterization
JS regex unicode properties:
/\p{Script_Extensions=Latin}/u
/\p{Script=Latin}/u
/\p{Script_Extensions=Cyrillic}/u
/\p{Script_Extensions=Greek}/u
/\p{Unified_Ideograph}/u
/\p{Script=Han}/u
/\p{Script_Extensions=Han}/u
/\p{Ideographic}/u
/\p{IDS_Binary_Operator}/u
/\p{IDS_Trinary_Operator}/u
/\p{Radical}/u
/\p{White_Space}/u
/\p{Script_Extensions=Hiragana}/u
/\p{Script=Hiragana}/u
/\p{Script_Extensions=Katakana}/u
/\p{Script=Katakana}/u
regex_cid_ranges =
hiragana: '[\u3041-\u3096]'
katakana: '[\u30a1-\u30fa]'
kana: '[\u3041-\u3096\u30a1-\u30fa]'
ideographic: '[\u3006-\u3007\u3021-\u3029\u3038-\u303a\u3400-\u4db5\u4e00-\u9fef\uf900-\ufa6d\ufa70-\ufad9\u{17000}-\u{187f7}\u{18800}-\u{18af2}\u{1b170}-\u{1b2fb}\u{20000}-\u{2a6d6}\u{2a700}-\u{2b734}\u{2b740}-\u{2b81d}\u{2b820}-\u{2cea1}\u{2ceb0}-\u{2ebe0}\u{2f800}-\u{2fa1d}]'
Should be extensible (extending/diminishing existing categories, add new ones)
Benchmarks
Hyphenators
Speed
Against 100,000 words randomly selected anew for each test case from /usr/share/dict/american-english
(102,305 words) over 5 runs, total time needed 32s; observe
fresh
hyphenate_mnater_hyphenopoly_sync 242,819 Hz 100.0 % │████████████▌│
hyphenate_sergeysolovev_hyphenated 176,003 Hz 72.5 % │█████████ │
hyphenate_bramstein_hypher 107,437 Hz 44.2 % │█████▌ │
hyphenate_ytiurin_hyphen 658 Hz 0.3 % │ │
These figures have been reproduced several times; if we do not re-generate the selection of words for each
test case but have all hyphenators hyphenate the same collection over, performance seems to improve
slightly:
same
hyphenate_mnater_hyphenopoly_sync 345,892 Hz 100.0 % │████████████▌│
hyphenate_sergeysolovev_hyphenated 219,550 Hz 63.5 % │███████▉ │
hyphenate_bramstein_hypher 121,050 Hz 35.0 % │████▍ │
hyphenate_ytiurin_hyphen 707 Hz 0.2 % │ │
Curiously when only a single run is done, bramstein/hypher
and sergeysolovev/hyphenated
changes places
and, curioser still, almost exactly their relative performances; also note how overall performance seems to
drop:
00:09 BENCHMARKS ▶ hyphenate_mnater_hyphenopoly_sync 144,789 Hz 100.0 % │████████████▌│
00:09 BENCHMARKS ▶ hyphenate_bramstein_hypher 108,914 Hz 75.2 % │█████████▍ │
00:09 BENCHMARKS ▶ hyphenate_sergeysolovev_hyphenated 46,895 Hz 32.4 % │████ │
00:09 BENCHMARKS ▶ hyphenate_ytiurin_hyphen 638 Hz 0.4 % │ │
Quality
/etc/dictionaries-common/words
, total 102,305 English words (so probably the exact same as
/usr/share/dict/american-english
)
hypher
would appear to have a rather serious flaw in that it insists on inserting a hyphen before the last
letter of a word when that word ends in an apostrophe (or a single quote) plus letter s
to indicate a
genitive (so far I have not tested whether that strange behavior also occurs with other situations involving
apostrophes or quotes); this occurs in 3,057 (3%) of all words in the list:
hyphenopoly hypher
—————————————————————————————————————————————————————————
thun-der-storm’s thun-der-stor-m’s
tib-ia’s tib-i-a’s
tights’s tight-s’s
time-stamp’s time-stam-p’s
In a very small number of words (36 or 0.035%), hyphenopoly
inserts fewer hyphens than hypher
; many of
these have letters with diacritics; observe that some words with diacritics are hyphenated by
hyphenopoly
:
hyphenopoly hypher
—————————————————————————————————————————————————————————
Düssel-dorf Düs-sel-dorf
Es-terházy Es-ter-házy
Furtwängler Furtwän-gler
Göteborg Göte-borg
Pokémon Poké-mon
Pétain Pé-tain
abbés ab-bés
as-so-ciate as-so-ci-ate
as-so-ciates as-so-ci-ates
châtelaine châte-laine
châtelaines châte-laines
clientèle clien-tèle
clientèles clien-tèles
croûton croû-ton
croûtons croû-tons
di-vorcée di-vor-cée
di-vorcées di-vor-cées
décol-leté dé-col-leté
détente dé-tente
flambéed flam-béed
ingénue in-génue
ingénues in-génues
matinée mat-inée
matinées mat-inées
present pre-sent
presents pre-sents
project pro-ject
projects pro-jects
protégé pro-tégé
protégés pro-tégés
précis pré-cis
précised pré-cised
précis-ing pré-cis-ing
recherché recher-ché
reci-procity rec-i-proc-ity
smörgåsbord smörgås-bord
Verdict
In terms of speed, ytiurin/hyphen
is clearly the looser, being almost 500 times slower than the
consistenly fastest hyphenator, mnater/hyphenopoly
.
bramstein/hypher
and sergeysolovev/hyphenated
vie for the second place to the extent that modifying the
test setup somwhat will make them change places; however, at least bramstein/hypher
has some serious flaws
which seems surprising in view of its popularity. Given their poor configurability, the fact they will take
twice to four times as long as hyphenopoly
and apparently not catch more opportunities than that library,
the choice becomes a very easy one.
mnater/hyphenopoly
is the clear winner: it has the most extensive tweaking configuration (including
per-language exceptions, minimum number of letters to be left on both ends of words and so on); it is
extensively documented (see https://github.com/mnater/Hyphenopoly/docs). In no case have we observed a
hyphen placement that could be termed unacceptable. If anything, hyphenopoly
misses some obvious
opportunities; in particular, it seems to have an adversion (but not a strict taboo) against hyphenating
words in the genitive case. That, be it said, is still much better than suggesting to write tight-s’s
as
hypher
would have it.
Links