PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

5.50 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (508 utterances, 1,273 words searched).

  1. hmm pretty good . FAT · bilingual_eng_Genesee/jes13b11f.cha, line 233 · Jessica 1;11
  2. hmm . OBS · bilingual_eng_Genesee/jes13b11f.cha, line 1112 · Jessica 1;11
  3. hmm ? OBS · bilingual_eng_Genesee/jes13b11f.cha, line 1251 · Jessica 1;11
  4. hmm ? OBS · bilingual_eng_Genesee/jes13b11f.cha, line 1273 · Jessica 1;11
  5. hmm ? OBS · bilingual_eng_Genesee/jes13b11f.cha, line 1451 · Jessica 1;11
  6. hmm ? FAT · bilingual_eng_Genesee/jes13b11f.cha, line 1478 · Jessica 1;11
  7. hmm ? FAT · bilingual_eng_Genesee/jes13b11f.cha, line 1832 · Jessica 1;11
  1. bilingual_eng_Genesee/jes13b11f.cha, line 233 · Jessica, 1;11.05
    FAThammer ?
    CHIhammer ?
    FAT*FAT: hmm pretty good .
    FATokay # that's the same thing ?
    FATah [=! gasps] # look what's that # nails .
  2. bilingual_eng_Genesee/jes13b11f.cha, line 1112 · Jessica, 1;11.05
    CHILiana ?
    CHILiana ?
    OBS*OBS: hmm .
    CHILiana .
    OBSwho's this ?
  3. bilingual_eng_Genesee/jes13b11f.cha, line 1251 · Jessica, 1;11.05
    FATgo ahead .
    FATsing .
    OBS*OBS: hmm ?
    OBSsing # i wanna [: want to] hear you sing .
    FAT0.
  4. bilingual_eng_Genesee/jes13b11f.cha, line 1273 · Jessica, 1;11.05
    FATwe're not in a singing mode # <we're in a musical> [>] mode .
    OBSno [<] ?
    OBS*OBS: hmm ?
    OBSdo your abcs .
    FATokay .
  5. bilingual_eng_Genesee/jes13b11f.cha, line 1451 · Jessica, 1;11.05
    CHIyyy # Mickey Mouse .
    FATMickey Mouse .
    OBS*OBS: hmm ?
    FATis there a Mickey Mouse hiding in there ?
    FAToh [=! gasp] !
  6. bilingual_eng_Genesee/jes13b11f.cha, line 1478 · Jessica, 1;11.05
    CHIyyy no Mickey .
    CHIMickey .
    FAT*FAT: hmm ?
    CHIdoggie .
    FATthat's a bunny .
  7. bilingual_eng_Genesee/jes13b11f.cha, line 1832 · Jessica, 1;11.05
    CHIbaby .
    CHIcar .
    FAT*FAT: hmm ?
    CHIcar .
    FATcar yeah that's a car .

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. Jessica bilingual_eng_Genesee5.50
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_eng_Genesee/jes13b11f.chaJessica 1;11.051,273775.50

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. hmm7 · 100.0%