PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

3.58 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (276 utterances, 559 words searched).

  1. hoora . %mov:"00907"_651260_652157 FAT · japanese_ishii/00907.cha, line 427 · Jun 0;09
  2. hoora, tatchi shita . %mov:"00907"_749846_752429 FAT · japanese_ishii/00907.cha, line 469 · Jun 0;09
  1. japanese_ishii/00907.cha, line 427 · Jun, 0;9.07
    CHIxxx [<] . %mov:"00907"_649538_650329
    CHIxxx . %mov:"00907"_650329_650329
    FAT*FAT: hoora . %mov:"00907"_651260_652157
    FATkore (wa) nani,, kore . %mov:"00907"_652157_652157
    FAT(a)chii (to) chigau ka,, kore ? %mov:"00907"_653374_655741
  2. japanese_ishii/00907.cha, line 469 · Jun, 0;9.07
    CHIxxx . %mov:"00907"_746597_748496
    CHIxxx . %mov:"00907"_748496_749846
    FAT*FAT: hoora, tatchi shita . %mov:"00907"_749846_752429
    CHIxxx . %mov:"00907"_752429_755325
    FATuun . %mov:"00907"_755325_756016

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_ishii3.58
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/00907.chaJun 0;9.07559223.58

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. hoora2 · 100.0%