PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

2.53 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (366 utterances, 1,578 words searched).

  1. a big burp , was it ? MOT · eng_british_Manchester_II/liz08b.cha, line 151 · Liz 2;01
  2. I was wrong , wasn't I ? MOT · eng_british_Manchester_II/liz08b.cha, line 384 · Liz 2;01
  3. oh because Mummy was doing it wrong . MOT · eng_british_Manchester_II/liz08b.cha, line 834 · Liz 2;01
  4. oh that was a big wee Liz . MOT · eng_british_Manchester_II/liz08b.cha, line 922 · Liz 2;01
  1. eng_british_Manchester_II/liz08b.cha, line 151 · Liz, 2;1.25
    CHIa big burp .
    CHIbig burp .
    MOT*MOT: a big burp , was it ?
    CHIyeah .
    MOTI see .
  2. eng_british_Manchester_II/liz08b.cha, line 384 · Liz, 2;1.25
    CHIdoes .
    MOToh he does yeah .
    MOT*MOT: I was wrong , wasn't I ?
    MOTthere you are .
    CHIput mine there .
  3. eng_british_Manchester_II/liz08b.cha, line 834 · Liz, 2;1.25
    MOToh <it won't [: willn't]> [/] it won't [: willn't] go on there .
    MOTwhy won't [: willn't] it go on there ?
    MOT*MOT: oh because Mummy was doing it wrong .
    MOTthat's why .
    CHIsnake .
  4. eng_british_Manchester_II/liz08b.cha, line 922 · Liz, 2;1.25
    MOThave a wee and then we can go back to our game .
    MOTall right ?
    MOT*MOT: oh that was a big wee Liz .
    MOTyou needed that .
    MOTlet's get you some dry knickers .

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. Liz eng_british_Manchester_II2.53
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/liz08b.chaLiz 2;1.251,578442.53

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. was4 · 100.0%