PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

5.01 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (408 utterances, 1,397 words searched).

  1. I'll wipe your eyes if you want , Becky . MOT · eng_british_Manchester_I/becky32b.cha, line 316 · Becky 2;11
  2. tie it up for her if you want , Becky . MOT · eng_british_Manchester_I/becky32b.cha, line 369 · Becky 2;11
  3. do you want to take her dress off ? MOT · eng_british_Manchester_I/becky32b.cha, line 381 · Becky 2;11
  4. you can take it off if you want . MOT · eng_british_Manchester_I/becky32b.cha, line 408 · Becky 2;11
  5. what [/] what does she want to wear then ? MOT · eng_british_Manchester_I/becky32b.cha, line 563 · Becky 2;11
  6. do you want your nose doing again ? MOT · eng_british_Manchester_I/becky32b.cha, line 898 · Becky 2;11
  7. I don't want to wipe it on there . MOT · eng_british_Manchester_I/becky32b.cha, line 1562 · Becky 2;11
  1. CHII 0am [*] just gonna [: going to] wipe my nose .
    MOTwell .
    MOT*MOT: I'll wipe your eyes if you want , Becky .
    MOTlet's have a look .
    MOTwhich one is it ?
  2. CHIwhy ?
    INVdon't know .
    MOT*MOT: tie it up for her if you want , Becky .
    CHIcan I tie this up ?
    MOTI [/] I'll do it , Becky .
  3. CHIwhy did somebody get [//] got it off .
    MOTshe probably thought it was a good idea to take it off .
    MOT*MOT: do you want to take her dress off ?
    CHIwe have to keep it on .
    MOToh .
  4. MOTno no .
    MOTit's okay .
    MOT*MOT: you can take it off if you want .
    MOToh , Becky .
    MOTBecky .
  5. CHIhere she is .
    MOTthank you .
    MOT*MOT: what [/] what does she want to wear then ?
    CHIum that .
    MOTshe wants to wear this ?
  6. CHItwo eggs .
    CHItwo eggs , Mum .
    MOT*MOT: do you want your nose doing again ?
    CHIno .
    CHIno please .
  7. CHIjust put your wipe .
    MOTno .
    MOT*MOT: I don't want to wipe it on there .
    MOTdon't put that in your eye , Becky .
    CHIjust wipe on there .

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_I5.01
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky32b.chaBecky 2;11.011,397775.01

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. want7 · 100.0%