PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

5.39 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (262 utterances, 1,298 words searched).

  1. have they got happy smiley faces ? MOT · eng_british_Manchester_II/warr15b.cha, line 459 · Warren 2;03
  2. has Warren got a happy smiley face ? MOT · eng_british_Manchester_II/warr15b.cha, line 463 · Warren 2;03
  3. what've you got there ? MOT · eng_british_Manchester_II/warr15b.cha, line 508 · Warren 2;03
  4. you've got two trucks here with the train . MOT · eng_british_Manchester_II/warr15b.cha, line 609 · Warren 2;03
  5. how many men have you got ? MOT · eng_british_Manchester_II/warr15b.cha, line 692 · Warren 2;03
  6. if you got this long brick you could put all three men on the same brick . MOT · eng_british_Manchester_II/warr15b.cha, line 784 · Warren 2;03
  7. have you got a horrible nose ? MOT · eng_british_Manchester_II/warr15b.cha, line 1106 · Warren 2;03
  1. MOTtrucks aren't nice things apparently .
    MOTwww .
    MOT*MOT: have they got happy smiley faces ?
    CHIyes .
    MOThas Warren got a happy smiley face ?
  2. MOThave they got happy smiley faces ?
    CHIyes .
    MOT*MOT: has Warren got a happy smiley face ?
    CHIyes .
    CHIthat is a pig .
  3. CHIyes .
    CHIbrumm@o .
    MOT*MOT: what've you got there ?
    CHIgot teddy .
    CHIthere .
  4. CHIgone .
    MOTyou don't really need to get your trucks out because look .
    MOT*MOT: you've got two trucks here with the train .
    MOTwhoops .
    CHIxxx .
  5. CHIanother men [*] .
    CHIthere's another men [*] there .
    MOT*MOT: how many men have you got ?
    CHIone two three four .
    CHIfive men .
  6. MOTlook at that .
    MOTthree men on bricks .
    MOT*MOT: if you got this long brick you could put all three men on the same brick .
    MOTone two three .
    MOThow many men ?
  7. CHIoh .
    MOTthis is gross .
    MOT*MOT: have you got a horrible nose ?
    CHIyes .
    MOTblow down your nose .

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_II5.39
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/warr15b.chaWarren 2;3.021,298775.39

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. got7 · 100.0%