PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

4.05 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (502 utterances, 1,975 words searched).

  1. it's very important to wear what ? MOT · bilingual_eng_french_Genesee/oli33b00b.cha, line 744 · Olivier 2;11
  2. it's not all gone ? MOT · bilingual_eng_french_Genesee/oli33b00b.cha, line 853 · Olivier 2;11
  3. it's in the middle or the ? MOT · bilingual_eng_french_Genesee/oli33b00b.cha, line 1271 · Olivier 2;11
  4. it's hot in here . OBS · bilingual_eng_french_Genesee/oli33b00b.cha, line 1308 · Olivier 2;11
  5. it's so hot in here . MOT · bilingual_eng_french_Genesee/oli33b00b.cha, line 1312 · Olivier 2;11
  6. it's like # okay salad tonight . MOT · bilingual_eng_french_Genesee/oli33b00b.cha, line 1343 · Olivier 2;11
  7. well # it's like # as if I'm on the bathroom . FAT · bilingual_eng_french_Genesee/oli33b00b.cha, line 1430 · Olivier 2;11
  8. as if it's obvious, eh ? OBS · bilingual_eng_french_Genesee/oli33b00b.cha, line 1453 · Olivier 2;11
  1. MOTso what are you going to do from now on # when you ride your bike ?
    CHIyeah ?
    MOT*MOT: it's very important to wear what ?
    CHIa [/] # a helmet !
    MOTa helmet .
  2. MOTis your bobo all gone now ?
    CHIno !
    MOT*MOT: it's not all gone ?
    FATOlivier ?
    FAT0.
  3. MOTand where's that ?
    CHI0.
    MOT*MOT: it's in the middle or the ?
    CHI0.
    CHIpipi .
  4. FATEléna t'attends xxx .
    OBS0.
    OBS*OBS: it's hot in here .
    CHIxxx .
    MOTit's so hot in here .
  5. OBSit's hot in here .
    CHIxxx .
    MOT*MOT: it's so hot in here .
    MOTand so humid .
    MOTwe have no air .
  6. MOToh [<] !
    MOTI just want to die .
    MOT*MOT: it's like # okay salad tonight .
    OBS0.
    OBSlet's just have ice cream [=! laughs] .
  7. FATwhat ?
    MOTplease hurry .
    FAT*FAT: well # it's like # as if I'm on the bathroom .
    MOTno, well just tell him to get off .
    MOTOlivier ?
  8. CHIoui j'ai fini !
    OBS0 [=! laughs] oui # fini .
    OBS*OBS: as if it's obvious, eh ?
    OBShours ago # what's your problem [=! laughs] .
    MOT0.

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. Olivier bilingual_eng_french_Genesee4.05
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_eng_french_Genesee/oli33b00b.chaOlivier 2;11.151,975884.05

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. it's8 · 100.0%