PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

6.13 per 1,000 words of the child (CHI), in 1 of 1 transcripts (430 utterances, 1,142 words searched).

  1. cut these out? CHI · downs-flusberg/penny06.cha, line 1040
  2. cut it out. CHI · downs-flusberg/penny06.cha, line 1048
  3. why we have to cut on here? CHI · downs-flusberg/penny06.cha, line 1051
  4. why we have to cut on here? CHI · downs-flusberg/penny06.cha, line 1054
  5. why do we have to cut on here? CHI · downs-flusberg/penny06.cha, line 1055
  6. we have to cut them out. CHI · downs-flusberg/penny06.cha, line 1142
  7. you're supposed to cut across. CHI · downs-flusberg/penny06.cha, line 1206
  1. downs-flusberg/penny06.cha, line 1040
    MOTthis is going to take some time.
    CHIok.
    CHI*CHI: cut these out?
    MOT<mhm> [/?].
    CHIon the back page?
  2. downs-flusberg/penny06.cha, line 1048
    MOTwait a minute.
    MOTover the rainbow.
    CHI*CHI: cut it out.
    MOThere's over the rainbow.
    CHIover the rainbow.
  3. downs-flusberg/penny06.cha, line 1051
    MOThere's over the rainbow.
    CHIover the rainbow.
    CHI*CHI: why we have to cut on here?
    MOTwhat?
    CHIwhy we have to cut on here?
  4. downs-flusberg/penny06.cha, line 1054
    CHIwhy we have to cut on here?
    MOTwhat?
    CHI*CHI: why we have to cut on here?
    CHIwhy do we have to cut on here?
    MOTwell, that's the game.
  5. downs-flusberg/penny06.cha, line 1055
    MOTwhat?
    CHIwhy we have to cut on here?
    CHI*CHI: why do we have to cut on here?
    MOTwell, that's the game.
    MOTit's very complicated.
  6. downs-flusberg/penny06.cha, line 1142
    MOTwell, we'll just lick these.
    MOTwhat is this?
    CHI*CHI: we have to cut them out.
    MOTthose are very sharp scissors.
    MOTthink you left your other scissors somewhere.
  7. downs-flusberg/penny06.cha, line 1206
    CHIyeah.
    MOT<oh> [/?].
    CHI*CHI: you're supposed to cut across.
    CHI<oh> [/?] good.
    CHIwhy keep on slipping scissors?

Matches by child

Matches per 1,000 words, all transcripts of each child together, highest first.

  1. Penny downs-flusberg6.13
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
downs-flusberg/penny06.chaPenny 1,142776.13

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. cut7 · 100.0%