PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

7.85 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (248 utterances, 892 words searched).

  1. take the ones off that are wrong . MOT · eng_british_Manchester_I/becky18b.cha, line 995 · Becky 2;06
  2. take his top off as well . MOT · eng_british_Manchester_I/becky18b.cha, line 1344 · Becky 2;06
  3. his shoes don't come off so we have to keep them on . MOT · eng_british_Manchester_I/becky18b.cha, line 1357 · Becky 2;06
  4. you'll spoil it though if you pull them all off . MOT · eng_british_Manchester_I/becky18b.cha, line 1384 · Becky 2;06
  5. please take a card off ? MOT · eng_british_Manchester_I/becky18b.cha, line 1405 · Becky 2;06
  6. have you dried [/] dried him off first ? MOT · eng_british_Manchester_I/becky18b.cha, line 1473 · Becky 2;06
  7. you're gonna [: going to] frighten him off , are you ? MOT · eng_british_Manchester_I/becky18b.cha, line 1561 · Becky 2;06
  1. MOTcan you see what's wrong ?
    CHIyeah .
    MOT*MOT: take the ones off that are wrong .
    CHIdo this one ?
    MOTno .
  2. MOTthat's it .
    CHII'm going +/.
    MOT*MOT: take his top off as well .
    CHII'm going swimming .
    MOTis he going swimming at the swimming pool or at the beach ?
  3. MOTat the beach .
    CHIhe's got his shoes , Mum .
    MOT*MOT: his shoes don't come off so we have to keep them on .
    CHIthere .
    CHII go swimming with +/.
  4. CHIwe have a ticket for you .
    MOToh thank you .
    MOT*MOT: you'll spoil it though if you pull them all off .
    MOTthank you .
    CHIsay thank you .
  5. INVpardon ?
    CHIplease take card off .
    MOT*MOT: please take a card off ?
    CHIyes .
    CHIthere .
  6. CHII 0have [*] gotta get dressed now .
    MOTright .
    MOT*MOT: have you dried [/] dried him off first ?
    CHIxxx .
    CHIyes .
  7. MOTit's birdies in the garden .
    CHII'm gonna [: going to] frighten that birdie off .
    MOT*MOT: you're gonna [: going to] frighten him off , are you ?
    CHIyeah .
    MOThow're you going to do that ?

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_I7.85
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky18b.chaBecky 2;6.05892777.85

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. off7 · 100.0%