PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

5.72 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (354 utterances, 874 words searched).

  1. dare ga Baachan to nenne shiten no ? %mov:"20323"_770619_772621 FAT · japanese_ishii/20323.cha, line 416 · Jun 2;03
  2. nenne shiten no,, jidoosha . %mov:"20323"_783216_784354 FAT · japanese_ishii/20323.cha, line 425 · Jun 2;03
  3. minna nenne shita ? %mov:"20323"_848475_849812 FAT · japanese_ishii/20323.cha, line 455 · Jun 2;03
  4. kore mo # kore mo # kore mo # nenne ? %mov:"20323"_857555_862685 FAT · japanese_ishii/20323.cha, line 462 · Jun 2;03
  5. jidoosha nenne shita . %mov:"20323"_867980_869359 FAT · japanese_ishii/20323.cha, line 465 · Jun 2;03
  1. FATe ? %mov:"20323"_767991_768516
    CHIBaachan to nenne . %mov:"20323"_768516_770619
    FAT*FAT: dare ga Baachan to nenne shiten no ? %mov:"20323"_770619_772621
    CHIxxx . %mov:"20323"_772621_774413
    FATYakkochan ? %mov:"20323"_774413_774985
  2. FATa . %mov:"20323"_780653_781042
    CHItakuchan nenne ta . %mov:"20323"_781042_781042
    FAT*FAT: nenne shiten no,, jidoosha . %mov:"20323"_783216_784354
    CHIjidoosha # ame . %mov:"20323"_784354_787532
    CHIjidoo [//] kyoo oyasumi koko . %mov:"20323"_787532_790578
  3. CHIkowattaa . %mov:"20323"_833786_839395
    CHIminna nenne tta . %mov:"20323"_839395_848475
    FAT*FAT: minna nenne shita ? %mov:"20323"_848475_849812
    CHIminna nenne . %mov:"20323"_849812_851678
    FATfuun . %mov:"20323"_851678_852438
  4. CHIhoe . %mov:"20323"_855991_857020
    FATun . %mov:"20323"_857020_857555
    FAT*FAT: kore mo # kore mo # kore mo # nenne ? %mov:"20323"_857555_862685
    CHIjidoosha nechatta . %mov:"20323"_862685_865720
    CHIjidoosha nenne tta . %mov:"20323"_865720_867980
  5. CHIjidoosha nechatta . %mov:"20323"_862685_865720
    CHIjidoosha nenne tta . %mov:"20323"_865720_867980
    FAT*FAT: jidoosha nenne shita . %mov:"20323"_867980_869359
    CHIxxx ? %mov:"20323"_869359_876119
    FATxxx,, sonna ashi de shitara . %mov:"20323"_876119_878420

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_ishii5.72
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20323.chaJun 2;3.23874555.72

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. nenne5 · 100.0%