PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

3.02 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (806 utterances, 2,316 words searched).

  1. are ? %mov:"30022"_1014237_1015491 FAT · japanese_ishii/30022.cha, line 496 · Jun 3;00
  2. are ? %mov:"30022"_1018921_1020039 FAT · japanese_ishii/30022.cha, line 498 · Jun 3;00
  3. are ? %mov:"30022"_1021765_1024538 FAT · japanese_ishii/30022.cha, line 500 · Jun 3;00
  4. are ? %mov:"30022"_1400625_1402934 FAT · japanese_ishii/30022.cha, line 656 · Jun 3;00
  5. are, doko itta yaro . %mov:"30022"_3364788_3366148 FAT · japanese_ishii/30022.cha, line 1496 · Jun 3;00
  6. yuki no to chigau,, are wa . %mov:"30022"_3550094_3551302 FAT · japanese_ishii/30022.cha, line 1585 · Jun 3;00
  7. are ? %mov:"30022"_3617299_3618047 FAT · japanese_ishii/30022.cha, line 1621 · Jun 3;00
  1. FAThonde [: sorede] kore ga koo naru yan [<] . %mov:"30022"_1011417_1013716
    FATmite ya . %mov:"30022"_1013716_1014237
    FAT*FAT: are ? %mov:"30022"_1014237_1015491
    FATyoisho . %mov:"30022"_1015491_1018921
    FATare ? %mov:"30022"_1018921_1020039
  2. FATare ? %mov:"30022"_1014237_1015491
    FATyoisho . %mov:"30022"_1015491_1018921
    FAT*FAT: are ? %mov:"30022"_1018921_1020039
    FATyoshi . %mov:"30022"_1020039_1021765
    FATare ? %mov:"30022"_1021765_1024538
  3. FATare ? %mov:"30022"_1018921_1020039
    FATyoshi . %mov:"30022"_1020039_1021765
    FAT*FAT: are ? %mov:"30022"_1021765_1024538
    FATkore wa nee # kotchi muke koo tsukena xxx . %mov:"30022"_1024538_1026860
    FATxxx . %mov:"30022"_1026860_1028196
  4. FATkore mo noru . %mov:"30022"_1395064_1396532
    CHIyakko [?] koko no hoo ga ii yan . %mov:"30022"_1396532_1400625
    FAT*FAT: are ? %mov:"30022"_1400625_1402934
    FATorechatta,, torakku ga . %mov:"30022"_1402934_1404398
    CHIkotchi ya naa ? %mov:"30022"_1404398_1428640
  5. FATnai ka . %mov:"30022"_3361281_3364202
    CHIun . %mov:"30022"_3364202_3364788
    FAT*FAT: are, doko itta yaro . %mov:"30022"_3364788_3366148
    FATkoko yan ka . %mov:"30022"_3366148_3369729
    CHIaa aa a . %mov:"30022"_3369729_3370921
  6. FATaa, reenkooto kitahan nya,, ame furu kara naa # ame futteru kara . %mov:"30022"_3545103_3548334
    FATreenkooto ya . %mov:"30022"_3548334_3550094
    FAT*FAT: yuki no to chigau,, are wa . %mov:"30022"_3550094_3551302
    CHIkono # kotchi +... %mov:"30022"_3551302_3558456
    CHIdoko ni an no ? %mov:"30022"_3558456_3560718
  7. FATForukusuwaagen hashirimasu ka . %mov:"30022"_3611816_3615665
    CHIpiin@o . %mov:"30022"_3615665_3617299
    FAT*FAT: are ? %mov:"30022"_3617299_3618047
    FATmagaru yan,, sore . %mov:"30022"_3618047_3619592
    CHIxxx . %mov:"30022"_3619592_3620836

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_ishii3.02
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/30022.chaJun 3;0.222,316773.02

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. are7 · 100.0%