PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

5.42 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (159 utterances, 369 words searched).

  1. wanwan@o to nennee . %mov:"10220"_94800_96155 FAT · japanese_ishii/10220.cha, line 61 · Jun 1;02
  2. hora, kore to issho ya [: da] . %mov:"10220"_343345_345259 FAT · japanese_ishii/10220.cha, line 193 · Jun 1;02
  1. japanese_ishii/10220.cha, line 61 · Jun, 1;02.02
    CHIn ? %mov:"10220"_91843_92887
    FAThai, kirinshan [: kirinsan] mo nennee . %mov:"10220"_92887_94800
    FAT*FAT: wanwan@o to nennee . %mov:"10220"_94800_96155
    CHIiyaa . %mov:"10220"_96155_103121
    CHIn . %mov:"10220"_103121_104862
  2. japanese_ishii/10220.cha, line 193 · Jun, 1;02.02
    FATee ? %mov:"10220"_341203_341690
    FATissho ya [: da],, hore, koreto . %mov:"10220"_341690_343345
    FAT*FAT: hora, kore to issho ya [: da] . %mov:"10220"_343345_345259
    FAThora . %mov:"10220"_345259_347025
    FATbuubuu@o . %mov:"10220"_347025_348843

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_ishii5.42
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/10220.chaJun 1;02.02369225.42

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.

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