PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

2.37 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (860 utterances, 2,107 words searched).

  1. waa, sugo [: sugoi] ! %mov:"20614"_885143_886218 FAT · japanese_ishii/20614.cha, line 514 · Jun 2;06
  2. hee, sugoi naa . %mov:"20614"_1248350_1251705 FAT · japanese_ishii/20614.cha, line 692 · Jun 2;06
  3. sugoi naa . %mov:"20614"_1660413_1661128 FAT · japanese_ishii/20614.cha, line 941 · Jun 2;06
  4. a, oo, sugoi naa [>] . %mov:"20614"_3109980_3113267 FAT · japanese_ishii/20614.cha, line 1693 · Jun 2;06
  5. a, oo, sugoi naa . %mov:"20614"_3450288_3451813 FAT · japanese_ishii/20614.cha, line 1913 · Jun 2;06
  1. FAThora, issho ya . %mov:"20614"_881413_883109
    FATminna issho ya, hore . %mov:"20614"_883109_885143
    FAT*FAT: waa, sugo [: sugoi] ! %mov:"20614"_885143_886218
    FATokkii no bakkari naranda . %mov:"20614"_886218_887796
    FAThora . %mov:"20614"_887796_889867
  2. FAThonto . %mov:"20614"_1244145_1244915
    FATSuupaaman soo yatte tobu no ? %mov:"20614"_1244915_1248350
    FAT*FAT: hee, sugoi naa . %mov:"20614"_1248350_1251705
    CHIden@o . %mov:"20614"_1251705_1256371
    CHIochinchin da yo . %mov:"20614"_1256371_1265470
  3. FATfuun . %mov:"20614"_1654684_1655349
    CHIsugoi naa . %mov:"20614"_1655349_1660413
    FAT*FAT: sugoi naa . %mov:"20614"_1660413_1661128
    CHItakai naa . %mov:"20614"_1661128_1664278
    FATtakai naa . %mov:"20614"_1664278_1665388
  4. FAThonto . %mov:"20614"_3108949_3109479
    CHImiyo ka ? %mov:"20614"_3109479_3109980
    FAT*FAT: a, oo, sugoi naa [>] . %mov:"20614"_3109980_3113267
    CHIkore otooshan [: otoosan] [<] . %mov:"20614"_3109980_3113267
    FATsoo . %mov:"20614"_3113267_3113871
  5. FATun . %mov:"20614"_3447788_3448166
    CHIkotchi . %mov:"20614"_3448166_3450288
    FAT*FAT: a, oo, sugoi naa . %mov:"20614"_3450288_3451813
    FATjoozu ni katazukeru nee . %mov:"20614"_3451813_3453269
    FATkashikoi nee # Jun wa . %mov:"20614"_3453269_3455409

Matches by age

One dot per transcript: matches per 1,000 words of everyone but CHI. Dots of the same child are joined.

Matches by child

Matches per 1,000 words, all transcripts of each child together, highest first.

  1. Jun japanese_ishii2.37
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20614.chaJun 2;6.142,107552.37

What the pattern matched

1 different forms (lowercased). Useful to see what a pattern really catches: unexpected forms here usually mean the pattern is too broad.

  1. sugoi5 · 100.0%