PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

6.49 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (118 utterances, 308 words searched).

  1. n ? %mov:"10616"_228382_229018 FAT · japanese_ishii/10616.cha, line 143 · Jun 1;06
  2. n ? %mov:"10616"_268322_268761 FAT · japanese_ishii/10616.cha, line 179 · Jun 1;06
  1. japanese_ishii/10616.cha, line 143 · Jun, 1;6.16
    FATyoshiyoshiyoshi [<] . %mov:"10616"_225152_226827
    CHInennee . %mov:"10616"_226827_228382
    FAT*FAT: n ? %mov:"10616"_228382_229018
    CHInenne . %mov:"10616"_229018_229783
    FATun, kore mo nenne ? %mov:"10616"_229783_230707
  2. japanese_ishii/10616.cha, line 179 · Jun, 1;6.16
    FATdare ga sonna toko (ni) iro (o) nuttan da . %mov:"10616"_264016_266076
    CHImammagua . %mov:"10616"_266076_268322
    FAT*FAT: n ? %mov:"10616"_268322_268761
    CHImamma . %mov:"10616"_268761_269396
    FATmamma (wa) nai yo . %mov:"10616"_269396_270191

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_ishii6.49
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/10616.chaJun 1;6.16308226.49

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. n2 · 100.0%