PHPCLANCHILDES with regular expressions

6 matches in 5 utterances

6.42 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (383 utterances, 935 words searched).

  1. okuchi wa ? %mov:"20017"_570855_573013 FAT · japanese_ishii/20017.cha, line 367 · Jun 2;00
  2. a, sore okuchi . %mov:"20017"_573013_576778 FAT · japanese_ishii/20017.cha, line 368 · Jun 2;00
  3. okuchi wa ? %mov:"20017"_595030_596389 FAT · japanese_ishii/20017.cha, line 377 · Jun 2;00
  4. okuchi # sore okuchi . %mov:"20017"_596389_599523 FAT · japanese_ishii/20017.cha, line 378 · Jun 2;00
  5. okuchi # sore okuchi . %mov:"20017"_596389_599523 FAT · japanese_ishii/20017.cha, line 378 · Jun 2;00
  6. Jun no okuchi wa doko ni aru ? %mov:"20017"_599523_601117 FAT · japanese_ishii/20017.cha, line 379 · Jun 2;00
  1. CHIna [: hana] . %mov:"20017"_568361_569343
    FATohana # kore ka ? %mov:"20017"_569343_570855
    FAT*FAT: okuchi wa ? %mov:"20017"_570855_573013
    FATa, sore okuchi . %mov:"20017"_573013_576778
    FATmeme, kore meme ka ? %mov:"20017"_576778_578124
  2. FATohana # kore ka ? %mov:"20017"_569343_570855
    FATokuchi wa ? %mov:"20017"_570855_573013
    FAT*FAT: a, sore okuchi . %mov:"20017"_573013_576778
    FATmeme, kore meme ka ? %mov:"20017"_576778_578124
    FATkore omeme ka ? %mov:"20017"_578124_580151
  3. FATohana wa ? %mov:"20017"_590200_591232
    FATsore ohana ? %mov:"20017"_591232_595030
    FAT*FAT: okuchi wa ? %mov:"20017"_595030_596389
    FATokuchi # sore okuchi . %mov:"20017"_596389_599523
    FATJun no okuchi wa doko ni aru ? %mov:"20017"_599523_601117
  4. FATsore ohana ? %mov:"20017"_591232_595030
    FATokuchi wa ? %mov:"20017"_595030_596389
    FAT*FAT: okuchi # sore okuchi . %mov:"20017"_596389_599523
    FATJun no okuchi wa doko ni aru ? %mov:"20017"_599523_601117
    FATatama wa ? %mov:"20017"_601117_604608
  5. FATokuchi wa ? %mov:"20017"_595030_596389
    FATokuchi # sore okuchi . %mov:"20017"_596389_599523
    FAT*FAT: Jun no okuchi wa doko ni aru ? %mov:"20017"_599523_601117
    FATatama wa ? %mov:"20017"_601117_604608
    FATshinkansen no atama wa ? %mov:"20017"_604608_607679

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_ishii6.42
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20017.chaJun 2;0.17935566.42

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. okuchi6 · 100.0%