PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

2.78 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (605 utterances, 2,521 words searched).

  1. what did Uncle_David bring you back from his holiday ? MOT · eng_british_Manchester_II/nic08a.cha, line 227 · Nicole 2;03
  2. what's his name ? MOT · eng_british_Manchester_II/nic08a.cha, line 242 · Nicole 2;03
  3. what's his name ? MOT · eng_british_Manchester_II/nic08a.cha, line 261 · Nicole 2;03
  4. Mummy put his t+shirt +/. MOT · eng_british_Manchester_II/nic08a.cha, line 383 · Nicole 2;03
  5. you're going to give him his pie first . MOT · eng_british_Manchester_II/nic08a.cha, line 447 · Nicole 2;03
  6. what color shall we do his shirt ? MOT · eng_british_Manchester_II/nic08a.cha, line 1436 · Nicole 2;03
  7. got his jeans colored in , haven't we ? MOT · eng_british_Manchester_II/nic08a.cha, line 1443 · Nicole 2;03
  1. INVyour new what ?
    MOTwhat have you got , Nicole ?
    MOT*MOT: what did Uncle_David bring you back from his holiday ?
    CHIa teddy .
    MOTa what ?
  2. INVoh .
    MOTand what do you call him ?
    MOT*MOT: what's his name ?
    INVcan I have a look at him please ?
    INVthank you .
  3. CHIxxx name .
    MOTand <what did> [/] what [/] what have we decided to call the new teddy+bear ?
    MOT*MOT: what's his name ?
    CHIteddy .
    MOTno .
  4. MOT<and a knife and> [//] and a kinfe [//] a spoon and fork .
    MOTsit and feed him with it , don't you ?
    MOT*MOT: Mummy put his t+shirt +/.
    MOToh .
    MOTis it ready ?
  5. MOTdo you think Bill'd like a drink ?
    MOToh .
    MOT*MOT: you're going to give him his pie first .
    CHIxxx .
    MOTright .
  6. CHIjeans .
    MOTright .
    MOT*MOT: what color shall we do his shirt ?
    MOTfind Mummy a color to do the shirt with .
    MOTnow .
  7. MOTfind Mummy a color to do the shirt with .
    MOTnow .
    MOT*MOT: got his jeans colored in , haven't we ?
    MOTgot blue jeans on .
    MOTare they Levis or are they Wrangler ?

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. Nicole eng_british_Manchester_II2.78
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/nic08a.chaNicole 2;3.032,521772.78

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. his7 · 100.0%