PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

2.97 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (688 utterances, 1,682 words searched).

  1. aa, nosen no,, torakku . %mov:"20706"_498822_500168 FAT · japanese_ishii/20706.cha, line 288 · Jun 2;07
  2. sugoi torakku [<] . %mov:"20706"_2767790_2769049 FAT · japanese_ishii/20706.cha, line 1195 · Jun 2;07
  3. torakku ya nee . %mov:"20706"_2771139_2772188 FAT · japanese_ishii/20706.cha, line 1198 · Jun 2;07
  4. sore wa sugoi torakku ya naa . %mov:"20706"_2776756_2778369 FAT · japanese_ishii/20706.cha, line 1205 · Jun 2;07
  5. torakku ka naa ? %mov:"20706"_2828980_2829991 FAT · japanese_ishii/20706.cha, line 1239 · Jun 2;07
  1. CHItobu de . %mov:"20706"_487100_490606
    CHIkore # natten ne, hora # tsumiki ga koo te . %mov:"20706"_490606_498822
    FAT*FAT: aa, nosen no,, torakku . %mov:"20706"_498822_500168
    CHItorakku nosen no . %mov:"20706"_500168_501669
    FATfuun . %mov:"20706"_501669_502206
  2. FATootobai ippai noseteru nee,, kore . %mov:"20706"_2765858_2767790
    CHInosete [>] +... %mov:"20706"_2767790_2769049
    FAT*FAT: sugoi torakku [<] . %mov:"20706"_2767790_2769049
    CHIxxx . %mov:"20706"_2769049_2769739
    FATun . %mov:"20706"_2769739_2771139
  3. CHIxxx . %mov:"20706"_2769049_2769739
    FATun . %mov:"20706"_2769739_2771139
    FAT*FAT: torakku ya nee . %mov:"20706"_2771139_2772188
    CHIxxx wa . %mov:"20706"_2772188_2773238
    CHIkore wa ? %mov:"20706"_2773238_2773839
  4. CHIhippatten dee . %mov:"20706"_2775068_2776064
    FAThippatteru . %mov:"20706"_2776064_2776756
    FAT*FAT: sore wa sugoi torakku ya naa . %mov:"20706"_2776756_2778369
    CHIkore wa ? %mov:"20706"_2778369_2778870
    CHImikisaasha . %mov:"20706"_2778870_2780565
  5. FATchotto misetee . %mov:"20706"_2824934_2826014
    FATnan yaro nee ? %mov:"20706"_2826014_2828980
    FAT*FAT: torakku ka naa ? %mov:"20706"_2828980_2829991
    CHItorakkusha [?] chau wa . %mov:"20706"_2829991_2831490
    FATchigau ka ? %mov:"20706"_2831490_2831490

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_ishii2.97
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20706.chaJun 2;7.061,682552.97

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. torakku5 · 100.0%