PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

2.36 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (854 utterances, 2,115 words searched).

  1. tebukuro hikkurikaeshite na +... %mov:"21109"_1579907_1581261 FAT · japanese_ishii/21109.cha, line 847 · Jun 2;11
  2. tebukuro, un, uramukeru ne . %mov:"21109"_1620422_1622820 FAT · japanese_ishii/21109.cha, line 861 · Jun 2;11
  3. tebukuro hikkurikaeshite ne +... %mov:"21109"_2020953_2022606 FAT · japanese_ishii/21109.cha, line 1028 · Jun 2;11
  4. tebukuro . %mov:"21109"_2779321_2780068 FAT · japanese_ishii/21109.cha, line 1311 · Jun 2;11
  5. tebukuro daa . %mov:"21109"_2783787_2785143 FAT · japanese_ishii/21109.cha, line 1314 · Jun 2;11
  1. FATtorahen ne ,, kore na +... %mov:"21109"_1577915_1579367
    CHIun . %mov:"21109"_1579367_1579907
    FAT*FAT: tebukuro hikkurikaeshite na +... %mov:"21109"_1579907_1581261
    CHIun . %mov:"21109"_1581261_1582211
    FATkawakasu ne . %mov:"21109"_1582211_1583005
  2. FAThai . %mov:"21109"_1616076_1616966
    CHItebukuro to # totten no ? %mov:"21109"_1616966_1620422
    FAT*FAT: tebukuro, un, uramukeru ne . %mov:"21109"_1620422_1622820
    FATuramukete ne naka kawakasu ne . %mov:"21109"_1622820_1626299
    CHIxxx # naka ? %mov:"21109"_1626299_1629625
  3. FATn ? %mov:"21109"_2019296_2019956
    CHIkore tebukuro . %mov:"21109"_2019956_2020953
    FAT*FAT: tebukuro hikkurikaeshite ne +... %mov:"21109"_2020953_2022606
    CHIun . %mov:"21109"_2022606_2023410
    FATkawakasu ne . %mov:"21109"_2023410_2024529
  4. CHIhora . %mov:"21109"_2773375_2778146
    CHInani,, kore ? %mov:"21109"_2778146_2779321
    FAT*FAT: tebukuro . %mov:"21109"_2779321_2780068
    CHItebu +... %mov:"21109"_2780068_2783787
    FATtebukuro daa . %mov:"21109"_2783787_2785143
  5. FATtebukuro . %mov:"21109"_2779321_2780068
    CHItebu +... %mov:"21109"_2780068_2783787
    FAT*FAT: tebukuro daa . %mov:"21109"_2783787_2785143
    FATkimochi'ii ? %mov:"21109"_2785143_2785828
    CHIshite # shite . %mov:"21109"_2785828_2788242

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_ishii2.36
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/21109.chaJun 2;11.092,115552.36

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. tebukuro5 · 100.0%