PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

5.83 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (416 utterances, 1,372 words searched).

  1. you like pizza, don't you ? MOT · eng_british_Manchester_II/joel05b.cha, line 59 · Joel 2;00
  2. like it . MOT · eng_british_Manchester_II/joel05b.cha, line 63 · Joel 2;00
  3. do you like cake ? MOT · eng_british_Manchester_II/joel05b.cha, line 121 · Joel 2;00
  4. what cake do you like ? MOT · eng_british_Manchester_II/joel05b.cha, line 125 · Joel 2;00
  5. like a tea+cosey now . MOT · eng_british_Manchester_II/joel05b.cha, line 186 · Joel 2;00
  6. you're just like your father, aren't you ? MOT · eng_british_Manchester_II/joel05b.cha, line 548 · Joel 2;00
  7. you like marmalade, don't you ? MOT · eng_british_Manchester_II/joel05b.cha, line 566 · Joel 2;00
  8. like that . MOT · eng_british_Manchester_II/joel05b.cha, line 928 · Joel 2;00
  1. CHIpizzas .
    MOToh pizzas .
    MOT*MOT: you like pizza, don't you ?
    CHIlike it .
    MOTlike it .
  2. MOTyou like pizza, don't you ?
    CHIlike it .
    MOT*MOT: like it .
    MOToh <what's that> [>] ?
    CHIbananas [<] .
  3. CHImore cakes .
    MOToh .
    MOT*MOT: do you like cake ?
    CHIyeah .
    MOTwhat cake do you like ?
  4. MOTdo you like cake ?
    CHIyeah .
    MOT*MOT: what cake do you like ?
    CHIxxx .
    MOTwww .
  5. MOTmight fit the dolly .
    MOTwant to put it on the dolly's head ?
    MOT*MOT: like a tea+cosey now .
    CHIoh .
    MOThave to attack your face again in a minute .
  6. CHII make it here .
    INVwww .
    MOT*MOT: you're just like your father, aren't you ?
    MOTif it doesn't do it first time it's xxx out .
    MOTgot no patience, have you ?
  7. INVwww .
    MOTthat was probably you .
    MOT*MOT: you like marmalade, don't you ?
    MOTdo you want it back ?
    CHIyeah .
  8. CHIxxx .
    MOTit'll have to go on the bricks .
    MOT*MOT: like that .
    MOTthere you see .
    MOTall that frustration and # shouting and +...

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. Joel eng_british_Manchester_II5.83
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/joel05b.chaJoel 2;0.121,372885.83

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. like8 · 100.0%