PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

9.40 per 1,000 words of the child (CHI), in 1 of 1 transcripts (343 utterances, 638 words searched).

  1. can I have my # hat please ? CHI · bilingual_eng_Genesee/oli23b11m.cha, line 155 · Olivier 2;10
  2. may I say may I have yyy ? CHI · bilingual_eng_Genesee/oli23b11m.cha, line 184 · Olivier 2;10
  3. may I have a yyy ? CHI · bilingual_eng_Genesee/oli23b11m.cha, line 197 · Olivier 2;10
  4. have my hat please . CHI · bilingual_eng_Genesee/oli23b11m.cha, line 225 · Olivier 2;10
  5. I have # pasta ! CHI · bilingual_eng_Genesee/oli23b11m.cha, line 298 · Olivier 2;10
  6. he # look if I have a bobo . CHI · bilingual_eng_Genesee/oli23b11m.cha, line 1558 · Olivier 2;10
  1. bilingual_eng_Genesee/oli23b11m.cha, line 155 · Olivier, 2;10.29
    CHIthat hat over there .
    MOThow do you ask for it nicely ?
    CHI*CHI: can I have my # hat please ?
    MOThow do you say it nicely ?
    CHIno nicely .
  2. bilingual_eng_Genesee/oli23b11m.cha, line 184 · Olivier, 2;10.29
    CHImay I ?
    MOTmay I have ?
    CHI*CHI: may I say may I have yyy ?
    MOTmay you have what ?
    CHImay yyy .
  3. bilingual_eng_Genesee/oli23b11m.cha, line 197 · Olivier, 2;10.29
    CHIplease .
    MOTmay I have what ?
    CHI*CHI: may I have a yyy ?
    MOTmay I have my hat ?
    CHIwhat ?
  4. bilingual_eng_Genesee/oli23b11m.cha, line 225 · Olivier, 2;10.29
    MOT<may I> [//] oh [/] oh you meant may I have my hat please .
    CHIyeah .
    CHI*CHI: have my hat please .
    MOToh okay .
    MOTcertainly .
  5. bilingual_eng_Genesee/oli23b11m.cha, line 298 · Olivier, 2;10.29
    CHI0.
    MOTwhat did you have for dinner today ?
    CHI*CHI: I have # pasta !
    MOTyeah [/] yeah you had pasta for lunch .
    MOTand what did you just eat right now ?
  6. bilingual_eng_Genesee/oli23b11m.cha, line 1558 · Olivier, 2;10.29
    CHIyeah .
    MOTand then what did he do ?
    CHI*CHI: he # look if I have a bobo .
    MOTand did you have a bobo ?
    CHIyeah .

Matches by age

One dot per transcript: matches per 1,000 words of the child (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_Genesee9.40
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_eng_Genesee/oli23b11m.chaOlivier 2;10.29638669.40

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. have6 · 100.0%