PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

7.28 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (263 utterances, 824 words searched).

  1. <have you> [//] what've you done to it ? MOT · eng_british_Manchester_I/becky20a.cha, line 291 · Becky 2;06
  2. let me have a look . MOT · eng_british_Manchester_I/becky20a.cha, line 497 · Becky 2;06
  3. do you think she should have her breakfast as well ? MOT · eng_british_Manchester_I/becky20a.cha, line 541 · Becky 2;06
  4. can I have some more ? MOT · eng_british_Manchester_I/becky20a.cha, line 1022 · Becky 2;06
  5. let's have a look . MOT · eng_british_Manchester_I/becky20a.cha, line 1153 · Becky 2;06
  6. you have medicine when you've got a baby in your tummy ? INV · eng_british_Manchester_I/becky20a.cha, line 1165 · Becky 2;06
  1. eng_british_Manchester_I/becky20a.cha, line 291 · Becky, 2;6.29
    MOTdoes it hurt ?
    CHIjust there .
    MOT*MOT: <have you> [//] what've you done to it ?
    MOThmm ?
    CHIher [*] is gonna [: going to] make a dinner .
  2. eng_british_Manchester_I/becky20a.cha, line 497 · Becky, 2;6.29
    CHIMummy .
    CHIxxx .
    MOT*MOT: let me have a look .
    MOTit might help if you put his arms down actually .
    MOTthere you are .
  3. eng_british_Manchester_I/becky20a.cha, line 541 · Becky, 2;6.29
    CHIwhat can they eat ?
    MOTwhat about the little girl ?
    MOT*MOT: do you think she should have her breakfast as well ?
    MOTBecky ?
    MOTdoes she need her breakfast ?
  4. eng_british_Manchester_I/becky20a.cha, line 1022 · Becky, 2;6.29
    MOTmmm .
    MOTlovely .
    MOT*MOT: can I have some more ?
    CHIit horrible ?
    MOTit's nice .
  5. eng_british_Manchester_I/becky20a.cha, line 1153 · Becky, 2;6.29
    CHIthere .
    MOToh .
    MOT*MOT: let's have a look .
    MOTwell .
    MOTI can't see it .
  6. eng_british_Manchester_I/becky20a.cha, line 1165 · Becky, 2;6.29
    MOTmedicine ?
    MOTyes .
    INV*INV: you have medicine when you've got a baby in your tummy ?
    CHImmhm .
    INVright .

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. Becky eng_british_Manchester_I7.28
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky20a.chaBecky 2;6.29824667.28

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%