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Heavy vs normal and spelling mistakes #25

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thewilkybarkid opened this issue Aug 14, 2023 · 1 comment
Open

Heavy vs normal and spelling mistakes #25

thewilkybarkid opened this issue Aug 14, 2023 · 1 comment

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@thewilkybarkid
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We're using tinyld to detect the language on some external content, which generally works great. I'm looking to move to the heavy version to fix a detection error, but I noticed that one of our test cases started to fail. It's based on the title of https://www.scienceopen.com/hosted-document?doi=10.14293/S2199-1006.1.SOR-.PPL3VEC.v2, which contains a couple of spelling mistakes.

The normal version correctly identifies it as Spanish:

tinyld --verbose "Notas para una aproximacin al punk espaol y sus contextos"
Analize chunks [ 'notas para una aproximacin al punk espaol y sus contextos' ]
[Pass 2] DetectPotentialGrams notas [
  'n',     'o',     't',     'a',
  's',     ' n',    'no',    'ot',
  'ta',    'as',    's ',    ' no',
  'not',   'ota',   'tas',   'as ',
  ' not',  'nota',  'otas',  'tas ',
  ' nota', 'notas', 'otas '
]
Result notas [
  { lang: 'af', accuracy: 0, score: 0 },
  { lang: 'am', accuracy: 0, score: 0 },
  { lang: 'ber', accuracy: 0, score: 0 },
  { lang: 'rn', accuracy: 0, score: 0 },
  { lang: 'ja', accuracy: 0, score: 0 },
  { lang: 'zh', accuracy: 0, score: 0 },
  { lang: 'ko', accuracy: 0, score: 0 },
  { lang: 'my', accuracy: 0, score: 0 }
]
[Pass 2] DetectPotentialGrams para [
  'p',    'a',     'r',
  'a',    ' p',    'pa',
  'ar',   'ra',    'a ',
  ' pa',  'par',   'ara',
  'ra ',  ' par',  'para',
  'ara ', ' para', 'para '
]
Gram 'para ' [
  'ind = 4.78515625%',
  'tgl = 13.4765625%',
  'spa = 38.37890625%',
  'por = 54.78515625%',
  'ita = 0.390625%',
  'lat = 0.29296875%',
  'srp = 1.7578125%',
  'swe = 0.29296875%',
  'pol = 0.1953125%',
  'tur = 4.98046875%'
]
Result para [
  { lang: 'pt', accuracy: 1, score: 701.25 },
  { lang: 'es', accuracy: 0.7005, score: 491.25 },
  { lang: 'tl', accuracy: 0.246, score: 172.5 },
  { lang: 'tr', accuracy: 0.09089999999999998, score: 63.75 },
  { lang: 'id', accuracy: 0.08730000000000004, score: 61.25 },
  { lang: 'sr', accuracy: 0.03210000000000002, score: 22.5 },
  { lang: 'it', accuracy: 0.007099999999999995, score: 5 },
  { lang: 'la', accuracy: 0.005299999999999971, score: 3.75 }
]
[Pass 2] DetectPotentialGrams una [
  'u',     'n',    'a',
  ' u',    'un',   'na',
  'a ',    ' un',  'una',
  'na ',   ' una', 'una ',
  ' una '
]
Gram ' una ' [
  'tgl = 0.390625%',
  'spa = 57.32421875%',
  'ita = 39.35546875%',
  'lat = 2.24609375%',
  'ron = 3.41796875%'
]
Result una [
  { lang: 'es', accuracy: 1, score: 733.75 },
  { lang: 'it', accuracy: 0.6865, score: 503.75 },
  { lang: 'ro', accuracy: 0.059599999999999986, score: 43.75 },
  { lang: 'la', accuracy: 0.03920000000000001, score: 28.75 },
  { lang: 'tl', accuracy: 0.006800000000000028, score: 5 },
  { lang: 'af', accuracy: 0, score: 0 },
  { lang: 'am', accuracy: 0, score: 0 },
  { lang: 'ber', accuracy: 0, score: 0 }
]
[Pass 2] DetectPotentialGrams aproximacin [
  'a',     'p',     'r',     'o',     'x',
  'i',     'm',     'a',     'c',     'i',
  'n',     ' a',    'ap',    'pr',    'ro',
  'ox',    'xi',    'im',    'ma',    'ac',
  'ci',    'in',    'n ',    ' ap',   'apr',
  'pro',   'rox',   'oxi',   'xim',   'ima',
  'mac',   'aci',   'cin',   'in ',   ' apr',
  'apro',  'prox',  'roxi',  'oxim',  'xima',
  'imac',  'maci',  'acin',  'cin ',  ' apro',
  'aprox', 'proxi', 'roxim', 'oxima', 'ximac',
  'imaci', 'macin', 'acin '
]
Gram 'oxi' [
  'fra = 0.1953125%',
  'eng = 0.1953125%',
  'spa = 0.390625%',
  'por = 0.68359375%',
  'lat = 1.66015625%',
  'ron = 0.48828125%'
]
Gram 'xim' [
  'fra = 0.1953125%',
  'spa = 1.26953125%',
  'por = 2.63671875%',
  'lat = 3.3203125%',
  'ron = 0.5859375%'
]
Result aproximacin [
  { lang: 'la', accuracy: 1, score: 38.25 },
  { lang: 'pt', accuracy: 0.6667000000000001, score: 25.5 },
  { lang: 'es', accuracy: 0.33330000000000004, score: 12.75 },
  { lang: 'ro', accuracy: 0.2157, score: 8.25 },
  { lang: 'fr', accuracy: 0.07840000000000003, score: 3 },
  { lang: 'en', accuracy: 0.03920000000000001, score: 1.5 },
  { lang: 'af', accuracy: 0, score: 0 },
  { lang: 'am', accuracy: 0, score: 0 }
]
[Pass 2] DetectPotentialGrams al [
  'a',   'l',
  ' a',  'al',
  'l ',  ' al',
  'al ', ' al '
]
Result al [
  { lang: 'af', accuracy: 0, score: 0 },
  { lang: 'am', accuracy: 0, score: 0 },
  { lang: 'ber', accuracy: 0, score: 0 },
  { lang: 'rn', accuracy: 0, score: 0 },
  { lang: 'ja', accuracy: 0, score: 0 },
  { lang: 'zh', accuracy: 0, score: 0 },
  { lang: 'ko', accuracy: 0, score: 0 },
  { lang: 'my', accuracy: 0, score: 0 }
]
[Pass 2] DetectPotentialGrams punk [
  'p',    'u',     'n',
  'k',    ' p',    'pu',
  'un',   'nk',    'k ',
  ' pu',  'pun',   'unk',
  'nk ',  ' pun',  'punk',
  'unk ', ' punk', 'punk '
]
Gram 'unk ' [ 'eng = 0.78125%', 'hun = 33.10546875%', 'lit = 0.29296875%' ]
Result punk [
  { lang: 'hu', accuracy: 1, score: 339 },
  { lang: 'en', accuracy: 0.023599999999999954, score: 8 },
  { lang: 'lt', accuracy: 0.00880000000000003, score: 3 },
  { lang: 'af', accuracy: 0, score: 0 },
  { lang: 'am', accuracy: 0, score: 0 },
  { lang: 'ber', accuracy: 0, score: 0 },
  { lang: 'rn', accuracy: 0, score: 0 },
  { lang: 'ja', accuracy: 0, score: 0 }
]
[Pass 2] DetectPotentialGrams espaol [
  'e',     's',     'p',     'a',
  'o',     'l',     ' e',    'es',
  'sp',    'pa',    'ao',    'ol',
  'l ',    ' es',   'esp',   'spa',
  'pao',   'aol',   'ol ',   ' esp',
  'espa',  'spao',  'paol',  'aol ',
  ' espa', 'espao', 'spaol', 'paol '
]
Result espaol [
  { lang: 'af', accuracy: 0, score: 0 },
  { lang: 'am', accuracy: 0, score: 0 },
  { lang: 'ber', accuracy: 0, score: 0 },
  { lang: 'rn', accuracy: 0, score: 0 },
  { lang: 'ja', accuracy: 0, score: 0 },
  { lang: 'zh', accuracy: 0, score: 0 },
  { lang: 'ko', accuracy: 0, score: 0 },
  { lang: 'my', accuracy: 0, score: 0 }
]
[Pass 2] DetectPotentialGrams y [ 'y', ' y', 'y ', ' y ' ]
Gram ' y ' [ 'fra = 8.88671875%', 'spa = 30.2734375%', 'lat = 0.1953125%' ]
Result y [
  { lang: 'es', accuracy: 1, score: 232.5 },
  { lang: 'fr', accuracy: 0.2935, score: 68.25 },
  { lang: 'la', accuracy: 0.00649999999999995, score: 1.5 },
  { lang: 'af', accuracy: 0, score: 0 },
  { lang: 'am', accuracy: 0, score: 0 },
  { lang: 'ber', accuracy: 0, score: 0 },
  { lang: 'rn', accuracy: 0, score: 0 },
  { lang: 'ja', accuracy: 0, score: 0 }
]
[Pass 2] DetectPotentialGrams sus [
  's',     'u',    's',
  ' s',    'su',   'us',
  's ',    ' su',  'sus',
  'us ',   ' sus', 'sus ',
  ' sus '
]
Gram ' sus ' [ 'spa = 12.59765625%', 'ron = 1.26953125%', 'tlh = 1.953125%' ]
Result sus [
  { lang: 'es', accuracy: 1, score: 161.25 },
  { lang: 'tlh', accuracy: 0.15500000000000003, score: 25 },
  { lang: 'ro', accuracy: 0.1008, score: 16.25 },
  { lang: 'af', accuracy: 0, score: 0 },
  { lang: 'am', accuracy: 0, score: 0 },
  { lang: 'ber', accuracy: 0, score: 0 },
  { lang: 'rn', accuracy: 0, score: 0 },
  { lang: 'ja', accuracy: 0, score: 0 }
]
[Pass 2] DetectPotentialGrams contextos [
  'c',     'o',     'n',     't',     'e',
  'x',     't',     'o',     's',     ' c',
  'co',    'on',    'nt',    'te',    'ex',
  'xt',    'to',    'os',    's ',    ' co',
  'con',   'ont',   'nte',   'tex',   'ext',
  'xto',   'tos',   'os ',   ' con',  'cont',
  'onte',  'ntex',  'text',  'exto',  'xtos',
  'tos ',  ' cont', 'conte', 'ontex', 'ntext',
  'texto', 'extos', 'xtos '
]
Gram 'cont' [
  'fra = 14.6484375%',
  'eng = 2.83203125%',
  'spa = 18.359375%',
  'por = 25.48828125%',
  'ita = 14.94140625%',
  'nld = 1.953125%',
  'lat = 5.6640625%',
  'ron = 9.27734375%'
]
Gram ' cont' [
  'fra = 17.1875%',
  'eng = 3.80859375%',
  'spa = 16.50390625%',
  'por = 17.3828125%',
  'ita = 11.03515625%',
  'nld = 2.34375%',
  'lat = 6.0546875%',
  'ron = 11.328125%'
]
Result contextos [
  { lang: 'pt', accuracy: 1, score: 483.5 },
  { lang: 'es', accuracy: 0.8257, score: 399.25 },
  { lang: 'fr', accuracy: 0.7653, score: 370 },
  { lang: 'it', accuracy: 0.6086, score: 294.25 },
  { lang: 'ro', accuracy: 0.49639999999999995, score: 240 },
  { lang: 'la', accuracy: 0.2802, score: 135.5 },
  { lang: 'en', accuracy: 0.16080000000000005, score: 77.75 },
  { lang: 'nl', accuracy: 0.10340000000000005, score: 50 }
]
Merge Results [
  { lang: 'es', accuracy: 0.10123958333333333 },
  { lang: 'pt', accuracy: 0.05555625 },
  { lang: 'la', accuracy: 0.027733333333333332 },
  { lang: 'it', accuracy: 0.027129166666666666 },
  { lang: 'fr', accuracy: 0.023691666666666666 },
  { lang: 'hu', accuracy: 0.020833333333333332 },
  { lang: 'ro', accuracy: 0.018177083333333333 },
  { lang: 'tl', accuracy: 0.005266666666666667 },
  { lang: 'en', accuracy: 0.004658333333333334 },
  { lang: 'tlh', accuracy: 0.003229166666666667 },
  { lang: 'nl', accuracy: 0.0021541666666666675 },
  { lang: 'tr', accuracy: 0.0018937499999999996 },
  { lang: 'id', accuracy: 0.001818750000000001 },
  { lang: 'sr', accuracy: 0.0006687500000000004 },
  { lang: 'lt', accuracy: 0.00018333333333333396 }
]
[
  { lang: 'es', accuracy: 0.10123958333333333 },
  { lang: 'pt', accuracy: 0.05555625 },
  { lang: 'la', accuracy: 0.027733333333333332 },
  { lang: 'it', accuracy: 0.027129166666666666 },
  { lang: 'fr', accuracy: 0.023691666666666666 },
  { lang: 'hu', accuracy: 0.020833333333333332 },
  { lang: 'ro', accuracy: 0.018177083333333333 },
  { lang: 'tl', accuracy: 0.005266666666666667 },
  { lang: 'en', accuracy: 0.004658333333333334 },
  { lang: 'tlh', accuracy: 0.003229166666666667 },
  { lang: 'nl', accuracy: 0.0021541666666666675 },
  { lang: 'tr', accuracy: 0.0018937499999999996 },
  { lang: 'id', accuracy: 0.001818750000000001 },
  { lang: 'sr', accuracy: 0.0006687500000000004 },
  { lang: 'lt', accuracy: 0.00018333333333333396 }
]

But the heavy version seems to decide it's Galician pretty quickly:

tinyld-heavy --verbose "Notas para una aproximacin al punk espaol y sus contextos"
Analize chunks [ 'notas para una aproximacin al punk espaol y sus contextos' ]
[Pass 1] detectUniqueGrams 4-grams - match 'aol ' to ga
Merge Results [ { lang: 'ga', accuracy: 1 } ]
[ { lang: 'ga', accuracy: 1 } ]

I need to learn more about the library internals, and spelling mistakes will always be a problem, but is there anything worth tweaking?
thewilkybarkid added a commit to PREreview/prereview.org that referenced this issue Aug 14, 2023
@thewilkybarkid
Remove spelling mistakes from a test fixture
2da4719 
This change is a prerequisite to using tinyld-heavy.

Refs #1157, komodojp/tinyld#25
@Tamilarasu-DLT
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Can it run in a VM without internet access/restricted access?

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@thewilkybarkid @Tamilarasu-DLT