PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

3.25 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (282 utterances, 616 words searched).

  1. joozu ya [: da] nee . %mov:"10029"_91120_94603 FAT · japanese_ishii/10029.cha, line 52 · Jun 1;00
  2. chiisai buubuu@o (ga) atta nee . %mov:"10029"_191431_193953 FAT · japanese_ishii/10029.cha, line 110 · Jun 1;00
  1. japanese_ishii/10029.cha, line 52 · Jun, 1;0.29
    FATaa ? %mov:"10029"_55551_57548
    FATaitaa ! %mov:"10029"_57548_69159
    FAT*FAT: joozu ya [: da] nee . %mov:"10029"_91120_94603
    CHIauwaawaa . %mov:"10029"_94603_98478
    FATnani,, kore (wa) . %mov:"10029"_98478_103795
  2. japanese_ishii/10029.cha, line 110 · Jun, 1;0.29
    CHIbuubuubu . %mov:"10029"_185489_188400
    FATaa, atta attaa . %mov:"10029"_188400_188400
    FAT*FAT: chiisai buubuu@o (ga) atta nee . %mov:"10029"_191431_193953
    FATare ? %mov:"10029"_193953_197710
    FATare ? %mov:"10029"_197710_199190

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_ishii3.25
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/10029.chaJun 1;0.29616223.25

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. nee2 · 100.0%