PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

3.46 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (272 utterances, 578 words searched).

  1. uun, Junkun dono mamma shuki [: suki] ? %mov:"10804"_546608_548923 FAT · japanese_ishii/10804.cha, line 358 · Jun 1;08
  2. Junkun, aa shite goran [<] . %mov:"10804"_765597_767938 FAT · japanese_ishii/10804.cha, line 526 · Jun 1;08
  1. FATmamma kaa . %mov:"10804"_543048_544154
    CHIhaa # mammaenyawa . %mov:"10804"_544154_546608
    FAT*FAT: uun, Junkun dono mamma shuki [: suki] ? %mov:"10804"_546608_548923
    CHImamma . %mov:"10804"_548923_549814
    CHImaamma . %mov:"10804"_549814_550963
  2. FATaa shitahan [: shiteiru] no,, sore . %mov:"10804"_763502_763502
    CHIaau [>] . %mov:"10804"_765597_767938
    FAT*FAT: Junkun, aa shite goran [<] . %mov:"10804"_765597_767938
    CHIaa . %mov:"10804"_767938_769068
    FAThora, oneechan mo aa shita . %mov:"10804"_769068_772114

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_ishii3.46
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/10804.chaJun 1;8.04578223.46

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. junkun2 · 100.0%