PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

2.56 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (775 utterances, 1,951 words searched).

  1. honto . %mov:"20908"_2207509_2208122 FAT · japanese_ishii/20908.cha, line 988 · Jun 2;09
  2. honto ? %mov:"20908"_2377058_2377534 FAT · japanese_ishii/20908.cha, line 1062 · Jun 2;09
  3. honto ya . %mov:"20908"_2441711_2442433 FAT · japanese_ishii/20908.cha, line 1095 · Jun 2;09
  4. honto ? %mov:"20908"_3372579_3373781 FAT · japanese_ishii/20908.cha, line 1543 · Jun 2;09
  5. a, honto . %mov:"20908"_3382487_3382487 FAT · japanese_ishii/20908.cha, line 1548 · Jun 2;09
  1. CHIiin@o . %mov:"20908"_2202439_2205697
    CHIitta,, kotchi, hora . %mov:"20908"_2205697_2207509
    FAT*FAT: honto . %mov:"20908"_2207509_2208122
    CHIsenro ga tsuku [//] tsukuranai de . %mov:"20908"_2208122_2211152
    FATe [>] ? %mov:"20908"_2211152_2213862
  2. FATchigau no ? %mov:"20908"_2375649_2376593
    CHIun . %mov:"20908"_2376593_2377058
    FAT*FAT: honto ? %mov:"20908"_2377058_2377534
    FATyoochien ikenai zo . %mov:"20908"_2377534_2379354
    CHIsaikoro tsukutte yo . %mov:"20908"_2379354_2382102
  3. FATkarakara@o yuu ka na ? %mov:"20908"_2438253_2439998
    FATissho ka ? %mov:"20908"_2439998_2441711
    FAT*FAT: honto ya . %mov:"20908"_2441711_2442433
    FATii oto ga suru na . %mov:"20908"_2442433_2445646
    FATsaikoro # korokorokoro@o . %mov:"20908"_2445646_2447631
  4. CHIburudooza noo . %mov:"20908"_3368316_3370488
    CHIkore burudooza ya . %mov:"20908"_3370488_3372579
    FAT*FAT: honto ? %mov:"20908"_3372579_3373781
    CHIun . %mov:"20908"_3373781_3374774
    FATdoko ni ? %mov:"20908"_3374774_3375414
  5. CHIkore wa ? %mov:"20908"_3375414_3379325
    CHIkotchi de ii wa . %mov:"20908"_3379325_3382487
    FAT*FAT: a, honto . %mov:"20908"_3382487_3382487
    FATburudoozaa ya na,, kore . %mov:"20908"_3383806_3384774
    CHIhora . %mov:"20908"_3384774_3386285

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_ishii2.56
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20908.chaJun 2;9.081,951552.56

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. honto5 · 100.0%