PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

2.99 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (498 utterances, 1,339 words searched).

  1. kore wa dare ga kattekita n . %mov:"30327"_532704_535294 FAT · japanese_ishii/30327.cha, line 233 · Jun 3;03
  2. doko de kattekita n ya,, kore wa . %mov:"30327"_536987_538582 FAT · japanese_ishii/30327.cha, line 235 · Jun 3;03
  3. kore wa doko de kattekita n ya,, kore . %mov:"30327"_542493_543705 FAT · japanese_ishii/30327.cha, line 238 · Jun 3;03
  4. hikooki ni noseru yatsu doko de kattekita n,, kore . %mov:"30327"_554069_555793 FAT · japanese_ishii/30327.cha, line 243 · Jun 3;03
  1. japanese_ishii/30327.cha, line 233 · Jun, 3;3.27
    FATOjiichan ni kattemoota n . %mov:"30327"_529452_530349
    FATkore wa doo shita n,, kore wa . %mov:"30327"_530349_532704
    FAT*FAT: kore wa dare ga kattekita n . %mov:"30327"_532704_535294
    CHIOtoosan ni . %mov:"30327"_535294_536987
    FATdoko de kattekita n ya,, kore wa . %mov:"30327"_536987_538582
  2. japanese_ishii/30327.cha, line 235 · Jun, 3;3.27
    FATkore wa dare ga kattekita n . %mov:"30327"_532704_535294
    CHIOtoosan ni . %mov:"30327"_535294_536987
    FAT*FAT: doko de kattekita n ya,, kore wa . %mov:"30327"_536987_538582
    FATe ? %mov:"30327"_538582_541882
    CHIun ? %mov:"30327"_541882_542493
  3. japanese_ishii/30327.cha, line 238 · Jun, 3;3.27
    FATe ? %mov:"30327"_538582_541882
    CHIun ? %mov:"30327"_541882_542493
    FAT*FAT: kore wa doko de kattekita n ya,, kore . %mov:"30327"_542493_543705
    CHIpatokaa ? %mov:"30327"_543705_550555
    FATkore ya n . %mov:"30327"_550555_551577
  4. japanese_ishii/30327.cha, line 243 · Jun, 3;3.27
    FATtorakku ya . %mov:"30327"_551577_552499
    CHIpatokaa ? %mov:"30327"_552499_554069
    FAT*FAT: hikooki ni noseru yatsu doko de kattekita n,, kore . %mov:"30327"_554069_555793
    CHItorakku . %mov:"30327"_555793_558966
    FATatta ka ? %mov:"30327"_558966_589271

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_ishii2.99
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/30327.chaJun 3;3.271,339442.99

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. kattekita4 · 100.0%