PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

7.04 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (405 utterances, 995 words searched).

  1. nan te kaku no ? %mov:"20518"_8100_8983 FAT · japanese_ishii/20518.cha, line 16 · Jun 2;05
  2. mikisaa te donna n ? %mov:"20518"_35003_35966 FAT · japanese_ishii/20518.cha, line 34 · Jun 2;05
  3. dore yatta ,, mikisaasha te ? %mov:"20518"_181566_182682 FAT · japanese_ishii/20518.cha, line 127 · Jun 2;05
  4. te (o) aratte ne . %mov:"20518"_843900_847697 FAT · japanese_ishii/20518.cha, line 377 · Jun 2;05
  5. poi@o shita te . %mov:"20518"_968746_970700 FAT · japanese_ishii/20518.cha, line 422 · Jun 2;05
  6. dore ,, tsume te . %mov:"20518"_1619769_1620892 FAT · japanese_ishii/20518.cha, line 680 · Jun 2;05
  7. kikiki@o te yueru no . %mov:"20518"_1651736_1653955 FAT · japanese_ishii/20518.cha, line 697 · Jun 2;05
  1. MOTWaiemushiiee [= YMCA] kaite . %mov:"20518"_0_6007
    CHIWaishiieee [= YMCA] chau wa . %mov:"20518"_6007_8100
    FAT*FAT: nan te kaku no ? %mov:"20518"_8100_8983
    CHIyumi [: umi] no . %mov:"20518"_8983_10196
    FATe ? %mov:"20518"_10196_10754
  2. CHIkako ka . %mov:"20518"_32619_34309
    FATkaitegoran . %mov:"20518"_34309_35003
    FAT*FAT: mikisaa te donna n ? %mov:"20518"_35003_35966
    FATkore ya, mikisaa wa . %mov:"20518"_35966_39225
    FATchigau ? %mov:"20518"_39225_39754
  3. FATmikisaasha . %mov:"20518"_178089_179651
    CHImikishaasha . %mov:"20518"_179651_181566
    FAT*FAT: dore yatta ,, mikisaasha te ? %mov:"20518"_181566_182682
    CHIEekandoobasu . %mov:"20518"_182682_186621
    FATchigau . %mov:"20518"_186621_187224
  4. CHIOkaasaan [>] ! %mov:"20518"_841096_843900
    FAThai, kami motteitte ya [<] . %mov:"20518"_841096_843900
    FAT*FAT: te (o) aratte ne . %mov:"20518"_843900_847697
    FATkore ! %mov:"20518"_847697_859828
    FATkore motteitte . %mov:"20518"_859828_861838
  5. MOTun . %mov:"20518"_966987_967466
    CHIpoi@o [= throwing away] shita . %mov:"20518"_967466_968746
    FAT*FAT: poi@o shita te . %mov:"20518"_968746_970700
    CHIpoi@o shita . %mov:"20518"_970700_971795
    FATkami o . %mov:"20518"_971795_972420
  6. FATtsume ? %mov:"20518"_1616971_1618154
    CHItsume itainai [: itakunai] ? %mov:"20518"_1618154_1619769
    FAT*FAT: dore ,, tsume te . %mov:"20518"_1619769_1620892
    CHIkonnan chuume ya . %mov:"20518"_1620892_1622997
    FATdoko ga tsume . %mov:"20518"_1622997_1623906
  7. CHIkikikii@o yueru wa . %mov:"20518"_1645497_1651234
    FATyueru no . %mov:"20518"_1651234_1651736
    FAT*FAT: kikiki@o te yueru no . %mov:"20518"_1651736_1653955
    FAThee [>] . %mov:"20518"_1653956_1659412
    CHIhore kii@o kikii@o kikii@o [<] . %mov:"20518"_1653956_1659412

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_ishii7.04
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20518.chaJun 2;5.18995777.04

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. te7 · 100.0%