PHPCLANCHILDES with regular expressions

9 matches in 9 utterances

3.86 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (538 utterances, 2,330 words searched).

  1. yeah . MOT · eng_british_Manchester_II/warr06a.cha, line 82 · Warren 2;00
  2. yeah . INV · eng_british_Manchester_II/warr06a.cha, line 175 · Warren 2;00
  3. yeah . MOT · eng_british_Manchester_II/warr06a.cha, line 441 · Warren 2;00
  4. yeah . MOT · eng_british_Manchester_II/warr06a.cha, line 799 · Warren 2;00
  5. yeah we'll make a hippo . MOT · eng_british_Manchester_II/warr06a.cha, line 850 · Warren 2;00
  6. yeah . MOT · eng_british_Manchester_II/warr06a.cha, line 865 · Warren 2;00
  7. yeah . MOT · eng_british_Manchester_II/warr06a.cha, line 1146 · Warren 2;00
  8. yeah . MOT · eng_british_Manchester_II/warr06a.cha, line 1197 · Warren 2;00
  9. yeah . MOT · eng_british_Manchester_II/warr06a.cha, line 1205 · Warren 2;00
  1. MOTthat's a red square .
    CHIthere it is .
    MOT*MOT: yeah .
    MOTthere's the square .
    MOTall the sides are the same length .
  2. MOTa green oblong .
    CHIgreen oblong .
    INV*INV: yeah .
    CHIhere .
    MOTright .
  3. MOTexcellent .
    CHIWarren tip it out .
    MOT*MOT: yeah .
    MOTaren't you clever .
    CHIno no .
  4. MOTwhat are you doing ?
    CHII 0am [*] rolling .
    MOT*MOT: yeah .
    CHIMummy monkey .
    CHIanimal .
  5. MOTyes .
    CHImake a hippo .
    MOT*MOT: yeah we'll make a hippo .
    MOTlet's roll this out .
    CHIWarren do it .
  6. MOTwhat are you doing ?
    CHII 0am [*] rolling .
    MOT*MOT: yeah .
    MOTyou're not gonna be a pastry cook yet I don't think .
    CHIMummy .
  7. CHIdonkey .
    CHII make it .
    MOT*MOT: yeah .
    MOTWarren it has to be rolled out first , doesn't it ?
    CHIMummy 0is [*] rolling .
  8. MOTdarling it's not a rabbit .
    CHIa donkey .
    MOT*MOT: yeah .
    CHIlook .
    CHIlook Anna .
  9. CHIlook Anna .
    CHIlook Mummy .
    MOT*MOT: yeah .
    INVthat's very good .
    CHIlook .

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. Warren eng_british_Manchester_II3.86
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/warr06a.chaWarren 2;0.032,330993.86

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. yeah9 · 100.0%