PHPCLANCHILDES with regular expressions

15 matches in 15 utterances

10.05 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (428 utterances, 1,492 words searched).

  1. MOTstill +...
    MOTwe can make another one , can't we ?
    INV*INV: yeah .
    INVyou can make one at home .
    MOTwell .
  2. MOTwhat did you make ?
    CHItwo pictures .
    MOT*MOT: yeah .
    MOTand [/] and what did you eat ?
    MOTRice_krispie cake .
  3. CHIxxx slice of toast .
    CHIhe puts it in there .
    MOT*MOT: yeah .
    MOTput a letter in the toaster .
    MOTinstead of the bread .
  4. MOTxxx .
    CHIyou [//] are you listen [*] 0to [*] me or not ?
    INV*INV: yeah .
    INVI am .
    MOTwww .
  5. MOTgo on then .
    CHIare you listening ?
    INV*INV: yeah .
    MOTwouldn't dare not .
    CHIare you ?
  6. CHIxxx .
    CHIwe read this one and that one ?
    MOT*MOT: yeah .
    CHIwhat about my gun .
    MOToh no .
  7. INVwhat's my name ?
    CHICaroline .
    INV*INV: yeah .
    MOTare you Fred ?
    CHIno .
  8. MOTare you Joel ?
    MOTwhat about your Thomas book ?
    MOT*MOT: oh yeah .
    MOTthat's a good one .
    CHIxxx .
  9. CHII know .
    CHIfive .
    MOT*MOT: oh yeah .
    CHIthese trucks are messing him .
    CHIbecause they 0are [*] tricking him .
  10. MOTyou've got a Thomas .
    CHItwo .
    MOT*MOT: yeah .
    MOTyou've got a Thomas as well .
    CHImore Thomas .
  11. CHIoh .
    CHIwhose these shoes ?
    MOT*MOT: yeah .
    MOTthey haven't been put away since last night , have they ?
    MOTthey've been dumped down there .
  12. MOTnot very comfy , are they ?
    CHIvery wobbly , aren't they ?
    MOT*MOT: yeah .
    CHIbecause I need to wear them now .
    CHIbecause I +//.
  13. CHIhave you seen it ?
    CHIalready ?
    MOT*MOT: yeah .
    MOTit's really good that , isn't it ?
    CHIhere .
  14. CHIoh .
    CHIthat one .
    MOT*MOT: oh yeah .
    CHIhave you got one ?
    MOTno .
  15. CHIand that's Mr_Busy .
    MOTMr_Busy .
    MOT*MOT: yeah .
    CHIread it .
    MOTread it .

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. Joel eng_british_Manchester_II10.05
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/joel33a.chaJoel 2;10.041,492151510.05

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. yeah15 · 100.0%