PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

3.49 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (487 utterances, 2,004 words searched).

  1. give her a cup of tea . MOT · eng_british_Manchester_II/nic15a.cha, line 159 · Nicole 2;05
  2. can't remember her name . MOT · eng_british_Manchester_II/nic15a.cha, line 244 · Nicole 2;05
  3. I can see her ponytail sticking up . MOT · eng_british_Manchester_II/nic15a.cha, line 982 · Nicole 2;05
  4. are you going to tell her what you're going to do at Mel's . MOT · eng_british_Manchester_II/nic15a.cha, line 1237 · Nicole 2;05
  5. show her your jumper . MOT · eng_british_Manchester_II/nic15a.cha, line 1409 · Nicole 2;05
  6. stand up and show her who's on your jumper . MOT · eng_british_Manchester_II/nic15a.cha, line 1413 · Nicole 2;05
  7. show her what it can do , look ? MOT · eng_british_Manchester_II/nic15a.cha, line 1511 · Nicole 2;05
  1. MOThmm ?
    CHIum yeah .
    MOT*MOT: give her a cup of tea .
    CHIright .
    MOTwell .
  2. CHIxxx .
    MOTand there's another one there we can't remember , isn't there ?
    MOT*MOT: can't remember her name .
    CHIdifficult name .
    CHIno .
  3. MOTI wonder where she's gone ?
    MOTI wonder where she is .
    MOT*MOT: I can see her ponytail sticking up .
    MOTthere you are .
    MOTI can see your ponytail .
  4. MOTare you going to tell Caroline what you're going to do at Mel'stomorrow ?
    MOThmm ?
    MOT*MOT: are you going to tell her what you're going to do at Mel's .
    MOTshe asked you , didn't you this morning before you xxx .
    CHIMummy .
  5. INVI want to see your jumper .
    MOToh .
    MOT*MOT: show her your jumper .
    INVwho's on your jumper .
    MOTstand up and show her who's on your jumper .
  6. MOTshow her your jumper .
    INVwho's on your jumper .
    MOT*MOT: stand up and show her who's on your jumper .
    MOTstand up and show [/] show Caroline who's on your jumper .
    MOToh dear .
  7. MOTnot very nice of you , is it ?
    MOThmm ?
    MOT*MOT: show her what it can do , look ?
    MOThmm ?
    CHIno .

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_II3.49
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/nic15a.chaNicole 2;5.262,004773.49

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. her7 · 100.0%