PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

4.78 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (383 utterances, 1,674 words searched).

  1. John are you gonna [: going to] help me find the picture of the nurse ? MOT · eng_british_Manchester_II/john07a.cha, line 133 · John 2;01
  2. come and help me find the nurse . MOT · eng_british_Manchester_II/john07a.cha, line 220 · John 2;01
  3. where is the nurse ? MOT · eng_british_Manchester_II/john07a.cha, line 225 · John 2;01
  4. where is the nurse ? MOT · eng_british_Manchester_II/john07a.cha, line 229 · John 2;01
  5. yeah but where's the nurse ? INV · eng_british_Manchester_II/john07a.cha, line 235 · John 2;01
  6. can't find the nurse though . MOT · eng_british_Manchester_II/john07a.cha, line 244 · John 2;01
  7. where is the nurse ? MOT · eng_british_Manchester_II/john07a.cha, line 246 · John 2;01
  8. that's the nurse . MOT · eng_british_Manchester_II/john07a.cha, line 268 · John 2;01
  1. eng_british_Manchester_II/john07a.cha, line 133 · John, 2;1.17
    CHIa window .
    INVmmhm .
    MOT*MOT: John are you gonna [: going to] help me find the picture of the nurse ?
    CHIthere tree and spider .
    CHIthere tree .
  2. eng_british_Manchester_II/john07a.cha, line 220 · John, 2;1.17
    INVsoon .
    MOTJohn .
    MOT*MOT: come and help me find the nurse .
    MOT<you were> [/] you were very good at that yesterday .
    MOTwhere is the nurse ?
  3. eng_british_Manchester_II/john07a.cha, line 225 · John, 2;1.17
    MOTcome and help me find the nurse .
    MOT<you were> [/] you were very good at that yesterday .
    MOT*MOT: where is the nurse ?
    MOTcan you help me find it ?
    MOTwhere is the nurse ?
  4. eng_british_Manchester_II/john07a.cha, line 229 · John, 2;1.17
    MOTwhere is the nurse ?
    MOTcan you help me find it ?
    MOT*MOT: where is the nurse ?
    MOTthere's the policeman .
    CHIthe box later .
  5. eng_british_Manchester_II/john07a.cha, line 235 · John, 2;1.17
    MOTthere's the policeman .
    CHIthe box later .
    INV*INV: yeah but where's the nurse ?
    INVwhy don't you go and find her ?
    MOTan apple .
  6. eng_british_Manchester_II/john07a.cha, line 244 · John, 2;1.17
    MOTan apple .
    MOTall sorts of things to put on the cards .
    MOT*MOT: can't find the nurse though .
    MOTwhere is the nurse ?
    MOTcan John find her ?
  7. eng_british_Manchester_II/john07a.cha, line 246 · John, 2;1.17
    MOTall sorts of things to put on the cards .
    MOTcan't find the nurse though .
    MOT*MOT: where is the nurse ?
    MOTcan John find her ?
    CHIer it's apple box .
  8. eng_british_Manchester_II/john07a.cha, line 268 · John, 2;1.17
    MOTnow where is the picture of the apple ?
    CHIit's the nurse .
    MOT*MOT: that's the nurse .
    MOTwell done .
    MOTwould you like to do another one ?

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. John eng_british_Manchester_II4.78
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/john07a.chaJohn 2;1.171,674884.78

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. nurse8 · 100.0%