PHPCLANCHILDES with regular expressions

8 matches in 7 utterances

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

  1. is it may I ? MOT · bilingual_eng_Genesee/oli23b11m.cha, line 177 · Olivier 2;10
  2. may I have ? MOT · bilingual_eng_Genesee/oli23b11m.cha, line 182 · Olivier 2;10
  3. may you have what ? MOT · bilingual_eng_Genesee/oli23b11m.cha, line 187 · Olivier 2;10
  4. may I have what ? MOT · bilingual_eng_Genesee/oli23b11m.cha, line 195 · Olivier 2;10
  5. may I have my hat ? MOT · bilingual_eng_Genesee/oli23b11m.cha, line 200 · Olivier 2;10
  6. xxx may I gag my hat . OBS · bilingual_eng_Genesee/oli23b11m.cha, line 217 · Olivier 2;10
  7. <may I> [//] oh [/] oh you meant may I have my hat please . MOT · bilingual_eng_Genesee/oli23b11m.cha, line 220 · Olivier 2;10
  8. <may I> [//] oh [/] oh you meant may I have my hat please . MOT · bilingual_eng_Genesee/oli23b11m.cha, line 220 · Olivier 2;10
  1. CHII don't know # that !
    MOTyou don't know the word ?
    MOT*MOT: is it may I ?
    CHImay I ?
    MOTmay I have ?
  2. MOTis it may I ?
    CHImay I ?
    MOT*MOT: may I have ?
    CHImay I say may I have yyy ?
    MOTmay you have what ?
  3. MOTmay I have ?
    CHImay I say may I have yyy ?
    MOT*MOT: may you have what ?
    CHImay yyy .
    CHIplease .
  4. CHImay yyy .
    CHIplease .
    MOT*MOT: may I have what ?
    CHImay I have a yyy ?
    MOTmay I have my hat ?
  5. MOTmay I have what ?
    CHImay I have a yyy ?
    MOT*MOT: may I have my hat ?
    CHIwhat ?
    MOTI don't understand you, honey .
  6. 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 .
  7. 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 .

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_Genesee4.79
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_eng_Genesee/oli23b11m.chaOlivier 2;10.291,670784.79

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. may8 · 100.0%