PHPCLANCHILDES with regular expressions

6 matches in 5 utterances

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

  1. show her your jumper . MOT · eng_british_Manchester_II/nic15a.cha, line 1409 · Nicole 2;05
  2. stand up and show her who's on your jumper . MOT · eng_british_Manchester_II/nic15a.cha, line 1413 · Nicole 2;05
  3. stand up and show [/] show Caroline who's on your jumper . MOT · eng_british_Manchester_II/nic15a.cha, line 1416 · Nicole 2;05
  4. stand up and show [/] show Caroline who's on your jumper . MOT · eng_british_Manchester_II/nic15a.cha, line 1416 · Nicole 2;05
  5. are you going to show Caroline what that train can do ? MOT · eng_british_Manchester_II/nic15a.cha, line 1500 · Nicole 2;05
  6. show her what it can do , look ? MOT · eng_british_Manchester_II/nic15a.cha, line 1511 · Nicole 2;05
  1. eng_british_Manchester_II/nic15a.cha, line 1409 · Nicole, 2;5.26
    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 .
  2. eng_british_Manchester_II/nic15a.cha, line 1413 · Nicole, 2;5.26
    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 .
  3. eng_british_Manchester_II/nic15a.cha, line 1416 · Nicole, 2;5.26
    INVwho's on your jumper .
    MOTstand up and show her who's on your jumper .
    MOT*MOT: stand up and show [/] show Caroline who's on your jumper .
    MOToh dear .
    MOThave your legs broken ?
  4. eng_british_Manchester_II/nic15a.cha, line 1500 · Nicole, 2;5.26
    MOThmm ?
    MOTwe can sit and talk nice .
    MOT*MOT: are you going to show Caroline what that train can do ?
    CHIno .
    MOTno .
  5. eng_british_Manchester_II/nic15a.cha, line 1511 · Nicole, 2;5.26
    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_II2.99
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/nic15a.chaNicole 2;5.262,004562.99

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.

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