PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

3.59 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (367 utterances, 1,670 words searched).

  1. what kind of hat ? OBS · bilingual_eng_Genesee/oli23b11m.cha, line 29 · Olivier 2;10
  2. you want your hat ? MOT · bilingual_eng_Genesee/oli23b11m.cha, line 141 · Olivier 2;10
  3. may I have my hat ? MOT · bilingual_eng_Genesee/oli23b11m.cha, line 200 · Olivier 2;10
  4. xxx may I gag my hat . OBS · bilingual_eng_Genesee/oli23b11m.cha, line 217 · Olivier 2;10
  5. <may I> [//] oh [/] oh you meant may I have my hat please . MOT · bilingual_eng_Genesee/oli23b11m.cha, line 220 · Olivier 2;10
  6. what color is the hat ? MOT · bilingual_eng_Genesee/oli23b11m.cha, line 275 · Olivier 2;10
  1. bilingual_eng_Genesee/oli23b11m.cha, line 29 · Olivier, 2;10.29
    OBSwhat's this ?
    CHIthat's a # hat .
    OBS*OBS: what kind of hat ?
    CHIa red hat .
    MOTwho [/] who wears it ?
  2. bilingual_eng_Genesee/oli23b11m.cha, line 141 · Olivier, 2;10.29
    CHImy [>] put on # my hat .
    MOT<lots of> [<] +/.
    MOT*MOT: you want your hat ?
    CHIyeah I hafta yyy # take [?] .
    MOTpardon me ?
  3. bilingual_eng_Genesee/oli23b11m.cha, line 200 · Olivier, 2;10.29
    MOTmay I have what ?
    CHImay I have a yyy ?
    MOT*MOT: may I have my hat ?
    CHIwhat ?
    MOTI don't understand you, honey .
  4. bilingual_eng_Genesee/oli23b11m.cha, line 217 · Olivier, 2;10.29
    MOT<why don't> [>] you say something I can understand .
    CHI<my hat> [<] .
    OBS*OBS: xxx may I gag my hat .
    MOT<may I> [//] oh [/] oh you meant may I have my hat please .
    CHIyeah .
  5. bilingual_eng_Genesee/oli23b11m.cha, line 220 · Olivier, 2;10.29
    CHI<my hat> [<] .
    OBSxxx may I gag my hat .
    MOT*MOT: <may I> [//] oh [/] oh you meant may I have my hat please .
    CHIyeah .
    CHIhave my hat please .
  6. bilingual_eng_Genesee/oli23b11m.cha, line 275 · Olivier, 2;10.29
    CHIhat .
    CHIhat .
    MOT*MOT: what color is the hat ?
    CHIred !
    MOTit's red .

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_Genesee3.59
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_eng_Genesee/oli23b11m.chaOlivier 2;10.291,670663.59

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. hat6 · 100.0%