PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

3.11 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (264 utterances, 643 words searched).

  1. oo, notta nottaa . %mov:"10106"_44473_46000 FAT · japanese_ishii/10106.cha, line 56 · Jun 1;01
  2. hora, notta yoo tte . %mov:"10106"_48456_50574 FAT · japanese_ishii/10106.cha, line 59 · Jun 1;01
  1. japanese_ishii/10106.cha, line 56 · Jun, 1;01.06
    FATun ? %mov:"10106"_42472_43439
    FATo ! %mov:"10106"_43439_44473
    FAT*FAT: oo, notta nottaa . %mov:"10106"_44473_46000
    FATkoko (ni) nosen [: noseru] no, iiyoisho . %mov:"10106"_46000_48456
    FAThora, notta yoo tte . %mov:"10106"_48456_50574
  2. japanese_ishii/10106.cha, line 59 · Jun, 1;01.06
    FAToo, notta nottaa . %mov:"10106"_44473_46000
    FATkoko (ni) nosen [: noseru] no, iiyoisho . %mov:"10106"_46000_48456
    FAT*FAT: hora, notta yoo tte . %mov:"10106"_48456_50574
    CHIiish . %mov:"10106"_50574_52582
    FATaa ? %mov:"10106"_50574_53495

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_ishii3.11
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/10106.chaJun 1;01.06643223.11

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. notta2 · 100.0%