PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

4.99 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (220 utterances, 401 words searched).

  1. nani miten [: miteru] no . %mov:"00601"_95853_96812 FAT · japanese_ishii/00601.cha, line 72 · Jun 0;06
  2. xx miten [: miteru] no, anta . %mov:"00601"_424175_426503 FAT · japanese_ishii/00601.cha, line 212 · Jun 0;06
  1. japanese_ishii/00601.cha, line 72 · Jun, 0;6.01
    FAT(laugh) . %mov:"00601"_90965_91713
    CHIaan . %mov:"00601"_91713_95853
    FAT*FAT: nani miten [: miteru] no . %mov:"00601"_95853_96812
    CHIiineyo . %mov:"00601"_96812_99509
    FATuun uu . %mov:"00601"_99509_100406
  2. japanese_ishii/00601.cha, line 212 · Jun, 0;6.01
    CHIannyajuu . %mov:"00601"_413894_419378
    FATn? %mov:"00601"_419378_419378
    FAT*FAT: xx miten [: miteru] no, anta . %mov:"00601"_424175_426503
    CHIa . %mov:"00601"_450191_453379
    FAToo oo . %mov:"00601"_471707_476176

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_ishii4.99
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/00601.chaJun 0;6.01401224.99

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. miten2 · 100.0%