PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

2.81 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (720 utterances, 1,780 words searched).

  1. Junkun norana akan yan ka . %mov:"30112"_310739_312487 FAT · japanese_ishii/30112.cha, line 171 · Jun 3;01
  2. Junkun warui kara norana akan yan . %mov:"30112"_315375_317915 FAT · japanese_ishii/30112.cha, line 174 · Jun 3;01
  3. Junkun nen [: neru] no chau no . %mov:"30112"_2045280_2047504 FAT · japanese_ishii/30112.cha, line 1274 · Jun 3;01
  4. kashikoi naa,, Junkun wa . %mov:"30112"_2160937_2163400 FAT · japanese_ishii/30112.cha, line 1356 · Jun 3;01
  5. Junkun ikutsu ? %mov:"30112"_2203920_2205506 FAT · japanese_ishii/30112.cha, line 1386 · Jun 3;01
  1. CHIuun@o . %mov:"30112"_307409_310153
    FATso yaro ? %mov:"30112"_310153_310739
    FAT*FAT: Junkun norana akan yan ka . %mov:"30112"_310739_312487
    CHIJunkun noranai . %mov:"30112"_312487_314596
    FATnande . %mov:"30112"_314596_315375
  2. CHIJunkun noranai . %mov:"30112"_312487_314596
    FATnande . %mov:"30112"_314596_315375
    FAT*FAT: Junkun warui kara norana akan yan . %mov:"30112"_315375_317915
    CHIhai, kono jidoosha wa ? %mov:"30112"_317915_319842
    CHInaa . %mov:"30112"_317915_320609
  3. CHIun . %mov:"30112"_2043862_2044731
    FATfuun . %mov:"30112"_2044731_2045280
    FAT*FAT: Junkun nen [: neru] no chau no . %mov:"30112"_2045280_2047504
    CHIun . %mov:"30112"_2047504_2048429
    FATnenai no . %mov:"30112"_2048429_2049213
  4. FATnai no ? %mov:"30112"_2159128_2159754
    CHInai. %mov:"30112"_2159754_2160937
    FAT*FAT: kashikoi naa,, Junkun wa . %mov:"30112"_2160937_2163400
    FATokki natta naa . %mov:"30112"_2163400_2164660
    FATmoo oshikko tarenai yoo ni natta . %mov:"30112"_2164660_2167483
  5. FATmittsu . %mov:"30112"_2201581_2202681
    CHImittsu . %mov:"30112"_2202681_2203920
    FAT*FAT: Junkun ikutsu ? %mov:"30112"_2203920_2205506
    CHIaa +... %mov:"30112"_2205506_2206385
    FATmittsu ya. %mov:"30112"_2206385_2208092

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_ishii2.81
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/30112.chaJun 3;1.121,780552.81

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. junkun5 · 100.0%