PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

4.11 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (473 utterances, 1,216 words searched).

  1. dampukaa zaa@o suru nee ? %mov:"20415"_292441_294375 FAT · japanese_ishii/20415.cha, line 167 · Jun 2;04
  2. dare ga sonna shahan [: suru] no ? %mov:"20415"_1279800_1281389 FAT · japanese_ishii/20415.cha, line 644 · Jun 2;04
  3. suru no ? %mov:"20415"_1295017_1295713 FAT · japanese_ishii/20415.cha, line 653 · Jun 2;04
  4. gotsun@o suru yo,, koko (de) . %mov:"20415"_1535700_1538130 FAT · japanese_ishii/20415.cha, line 781 · Jun 2;04
  5. putchin@o suru ? %mov:"20415"_1787105_1788279 FAT · japanese_ishii/20415.cha, line 936 · Jun 2;04
  1. FATzaa@o sun no . %mov:"20415"_291413_291962
    FATsoo soo . %mov:"20415"_291413_292441
    FAT*FAT: dampukaa zaa@o suru nee ? %mov:"20415"_292441_294375
    CHIhamanai [: hamaranai] koko . %mov:"20415"_294375_297234
    FATn ? %mov:"20415"_297234_297702
  2. CHIoobaake ya zoo [>] . %mov:"20415"_1274673_1279800
    FATobake da zoo [<] . %mov:"20415"_1279800_1279800
    FAT*FAT: dare ga sonna shahan [: suru] no ? %mov:"20415"_1279800_1281389
    CHIku aka [//] akan wa . %mov:"20415"_1281389_1284970
    CHIOkaashan mitai ni . %mov:"20415"_1284970_1287211
  3. FATOniichan wa ? %mov:"20415"_1292470_1293302
    CHIxxx shahan no . %mov:"20415"_1293302_1295017
    FAT*FAT: suru no ? %mov:"20415"_1295017_1295713
    CHIsuru . %mov:"20415"_1295713_1296374
    FATobake ya zoo yuute . %mov:"20415"_1296374_1298444
  4. FATaitaa ! %mov:"20415"_1531008_1532207
    CHIOkaashan shasuketee . %mov:"20415"_1532207_1535700
    FAT*FAT: gotsun@o suru yo,, koko (de) . %mov:"20415"_1535700_1538130
    CHIshashuketee [: tasukete] . %mov:"20415"_1538130_1539760
    FATtasukete . %mov:"20415"_1539760_1541290
  5. FATe ? %mov:"20415"_1784962_1785804
    FATterebi ? %mov:"20415"_1785804_1785804
    FAT*FAT: putchin@o suru ? %mov:"20415"_1787105_1788279
    CHIpuchin shuru . %mov:"20415"_1788279_1790296
    FATun, kondo nani shite asobo ? %mov:"20415"_1790296_1792324

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_ishii4.11
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20415.chaJun 2;4.151,216554.11

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. suru5 · 100.0%