PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

2.92 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (312 utterances, 1,712 words searched).

  1. see # put your finger like this . MEL · eng_USA_Brown/sarah093.cha, line 864 · Sarah 4;01
  2. see how I hold it ? MEL · eng_USA_Brown/sarah093.cha, line 867 · Sarah 4;01
  3. see if you can cut better like that . MEL · eng_USA_Brown/sarah093.cha, line 887 · Sarah 4;01
  4. what animals did you see ? MEL · eng_USA_Brown/sarah093.cha, line 966 · Sarah 4;01
  5. I don't see how she can be so inconsistent . MOT · eng_USA_Brown/sarah093.cha, line 1320 · Sarah 4;01
  1. CHIum .
    MELSarah # try holding it here and here # and then you can move it wider .
    MEL*MEL: see # put your finger like this .
    MELsee how I hold it ?
    MELyou're doing this and then <you can't> [/] # you can't hardly squeeze it .
  2. MELSarah # try holding it here and here # and then you can move it wider .
    MELsee # put your finger like this .
    MEL*MEL: see how I hold it ?
    MELyou're doing this and then <you can't> [/] # you can't hardly squeeze it .
    MELput it more at the end of your fingers and then you can cut better .
  3. MELyeah # maybe your fingers aren't long enough .
    MELthat's better though # there is better than there .
    MEL*MEL: see if you can cut better like that .
    CHII can cut better like that .
    CHIwatch .
  4. MOTyeah # it was on the tv .
    CHIyeah # that was funny .
    MEL*MEL: what animals did you see ?
    CHIwe [/] # we didn't # we saw um # <what was> [/] # what was that a lion or tigers and # um # <monk(eys)> [/] # monk(eys) [/] # <monk(eys)> [/] # &m # &m # monkeys [/] # monkeys .
    CHIand uh +...
  5. MOTwhere did you get this ?
    CHII wanna use it .
    MOT*MOT: I don't see how she can be so inconsistent .
    MOTlike she said the mosquito bit her but Donna bited@n her or whoever it was .
    CHIwhere's my ball ?

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. Sarah eng_USA_Brown2.92
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah093.chaSarah 4;1.281,712552.92

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. see5 · 100.0%