PHPCLANCHILDES with regular expressions

11 matches in 11 utterances

5.46 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (529 utterances, 2,014 words searched).

  1. well . MOT · eng_british_Manchester_I/becky09a.cha, line 55 · Becky 2;02
  2. well . MOT · eng_british_Manchester_I/becky09a.cha, line 75 · Becky 2;02
  3. they're very wet as well . MOT · eng_british_Manchester_I/becky09a.cha, line 102 · Becky 2;02
  4. they're all sticky as well . MOT · eng_british_Manchester_I/becky09a.cha, line 171 · Becky 2;02
  5. this is all sticky as well . MOT · eng_british_Manchester_I/becky09a.cha, line 199 · Becky 2;02
  6. do you want to do some cooking as well ? MOT · eng_british_Manchester_I/becky09a.cha, line 576 · Becky 2;02
  7. yeah well . MOT · eng_british_Manchester_I/becky09a.cha, line 704 · Becky 2;02
  8. and put that in as well . MOT · eng_british_Manchester_I/becky09a.cha, line 1638 · Becky 2;02
  9. well . MOT · eng_british_Manchester_I/becky09a.cha, line 1737 · Becky 2;02
  10. well . MOT · eng_british_Manchester_I/becky09a.cha, line 1748 · Becky 2;02
  11. there's one here as well , Becky . MOT · eng_british_Manchester_I/becky09a.cha, line 1759 · Becky 2;02
  1. CHIwhere ?
    CHIwhere ?
    MOT*MOT: well .
    MOTI'm just looking for them .
    MOThere's your cups and saucers .
  2. CHIwhere more ?
    CHIwhere more ?
    MOT*MOT: well .
    INVI gave it back to you I think .
    MOTthat +/.
  3. INVmmm .
    MOTwhat xxx about , Becky ?
    MOT*MOT: they're very wet as well .
    MOTwhat've you had in there ?
    MOTwhat's been in here ?
  4. MOTyou what ?
    CHImore cups .
    MOT*MOT: they're all sticky as well .
    INVthis one's all right .
    MOTthink they'll all gonna [: going to] have to be washed up , aren't they ?
  5. CHIxxx more xxx .
    MOToh .
    MOT*MOT: this is all sticky as well .
    MOTyou're a monster , aren't you ?
    CHIyeah .
  6. MOTmore (i)s here .
    CHImore tea .
    MOT*MOT: do you want to do some cooking as well ?
    CHIyes .
    CHII like that .
  7. MOTokay .
    CHIturtle out .
    MOT*MOT: yeah well .
    MOTwhat about your doll's house then ?
    MOTBecky !
  8. MOTI'm putting those in there .
    MOTout of the way .
    MOT*MOT: and put that in as well .
    MOTand that .
    CHIlook .
  9. CHIpennys .
    CHIwhere 0are [*] one pennys .
    MOT*MOT: well .
    MOTthere's another one there , look .
    CHIanother one there .
  10. CHIthere 0is [*] more there .
    CHIwhere more ?
    MOT*MOT: well .
    MOTlet's have a look over here .
    MOTthere's one [//] some down under the settee .
  11. MOTwww .
    MOTyes .
    MOT*MOT: there's one here as well , Becky .
    INVthere .
    INVby that bag of crayons .

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. Becky eng_british_Manchester_I5.46
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky09a.chaBecky 2;2.302,01411115.46

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. well11 · 100.0%