PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

2.97 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (688 utterances, 1,682 words searched).

  1. dore ga okotteru ? %mov:"20706"_3130688_3132179 FAT · japanese_ishii/20706.cha, line 1426 · Jun 2;07
  2. okotteru . %mov:"20706"_3132902_3133762 FAT · japanese_ishii/20706.cha, line 1428 · Jun 2;07
  3. kore wa okotteru ka ? %mov:"20706"_3141604_3142498 FAT · japanese_ishii/20706.cha, line 1435 · Jun 2;07
  4. okotteru [>] ? %mov:"20706"_3144754_3147045 FAT · japanese_ishii/20706.cha, line 1438 · Jun 2;07
  5. okotteru ka ? %mov:"20706"_3242258_3243008 FAT · japanese_ishii/20706.cha, line 1498 · Jun 2;07
  1. FATn ? %mov:"20706"_3121455_3121455
    CHIokotteru wa . %mov:"20706"_3125345_3130688
    FAT*FAT: dore ga okotteru ? %mov:"20706"_3130688_3132179
    CHIkore ga . %mov:"20706"_3132179_3132902
    FATokotteru . %mov:"20706"_3132902_3133762
  2. FATdore ga okotteru ? %mov:"20706"_3130688_3132179
    CHIkore ga . %mov:"20706"_3132179_3132902
    FAT*FAT: okotteru . %mov:"20706"_3132902_3133762
    CHIkore mo # okotteru wa . %mov:"20706"_3133762_3136164
    FAToniichan okotten no . %mov:"20706"_3136164_3137105
  3. CHIoneechan okotteru. %mov:"20706"_3139464_3141171
    FATe ? %mov:"20706"_3141171_3141604
    FAT*FAT: kore wa okotteru ka ? %mov:"20706"_3141604_3142498
    CHIokottenai . %mov:"20706"_3142498_3142498
    FATe ? %mov:"20706"_3144067_3144754
  4. CHIokottenai . %mov:"20706"_3142498_3142498
    FATe ? %mov:"20706"_3144067_3144754
    FAT*FAT: okotteru [>] ? %mov:"20706"_3144754_3147045
    CHIkore wa [<] # okottenai . %mov:"20706"_3144754_3147045
    FATokottenai . %mov:"20706"_3147045_3147690
  5. CHIkore wa ? %mov:"20706"_3229898_3229898
    CHIotoosan mo okotteru wa . %mov:"20706"_3232875_3242258
    FAT*FAT: okotteru ka ? %mov:"20706"_3242258_3243008
    CHIhora . %mov:"20706"_3243008_3243566
    FAThonto . %mov:"20706"_3243566_3244256

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_ishii2.97
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20706.chaJun 2;7.061,682552.97

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. okotteru5 · 100.0%