PHPCLANCHILDES with regular expressions

8 matches in 7 utterances

4.30 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (615 utterances, 1,862 words searched).

  1. okay why don't you take one of the books you know and we'll do it ? MOT · bilingual_eng_Genesee/joe23b04b.cha, line 193 · Joelle 2;04
  2. we have mister Brown can moo and the people house . MOT · bilingual_eng_Genesee/joe23b04b.cha, line 225 · Joelle 2;04
  3. we mostly use the video . OBS · bilingual_eng_Genesee/joe23b04b.cha, line 309 · Joelle 2;04
  4. i think we should go into her room . FAT · bilingual_eng_Genesee/joe23b04b.cha, line 1407 · Joelle 2;04
  5. <let's try it in French we always do it in English>[>] . MOT · bilingual_eng_Genesee/joe23b04b.cha, line 1452 · Joelle 2;04
  6. now can we do numbers ? MOT · bilingual_eng_Genesee/joe23b04b.cha, line 2576 · Joelle 2;04
  7. can we can we do something else ? MOT · bilingual_eng_Genesee/joe23b04b.cha, line 2592 · Joelle 2;04
  8. can we can we do something else ? MOT · bilingual_eng_Genesee/joe23b04b.cha, line 2592 · Joelle 2;04
  1. CHIoh two pig .
    CHIthere right there .
    MOT*MOT: okay why don't you take one of the books you know and we'll do it ?
    CHIoh no !
    MOTno ?
  2. CHIbig yyy .
    MOTokay ?
    MOT*MOT: we have mister Brown can moo and the people house .
    CHIno pigs .
    MOTGoldilocks and the three bears .
  3. OBSthis is kind of just a backup .
    MOToh okay .
    OBS*OBS: we mostly use the video .
    MOTthe three little bears .
    CHIpig .
  4. FATnon .
    FATrahr .
    FAT*FAT: i think we should go into her room .
    CHIyyy .
    MOTya ?
  5. CHItwo a@l .
    CHItwo a .
    MOT*MOT: <let's try it in French we always do it in English>[>] .
    CHIa [<] .
    CHIa [<] .
  6. FATz [<] .
    MOTthat's it okay !
    MOT*MOT: now can we do numbers ?
    CHImore yy a .
    MOTthis kid loves the alphabet [>] .
  7. CHImore .
    CHImore p .
    MOT*MOT: can we can we do something else ?
    CHIyyy [>] .
    MOT<how about some music>[<] in French or something .

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. Joelle bilingual_eng_Genesee4.30
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_eng_Genesee/joe23b04b.chaJoelle 2;4.061,862784.30

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. we8 · 100.0%