PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

2.97 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (297 utterances, 2,020 words searched).

  1. I don't think you need a hammer to fix the train # let's play with the slide ? PAT · eng_USA_Bloom/peter02.cha, line 349 · Peter 1;09
  2. here # I can fix it # want me to show you ? PAT · eng_USA_Bloom/peter02.cha, line 390 · Peter 1;09
  3. you do wan(t) (t)a learn how to fix that slide # don't you ? PAT · eng_USA_Bloom/peter02.cha, line 412 · Peter 1;09
  4. ok # I'll fix it # there . PAT · eng_USA_Bloom/peter02.cha, line 424 · Peter 1;09
  5. fix ? MAX · eng_USA_Bloom/peter02.cha, line 997 · Peter 1;09
  6. want me to fix it ? MAX · eng_USA_Bloom/peter02.cha, line 999 · Peter 1;09
  1. PATd(o) you think you need a hammer ?
    PATwhy don't we play with the slide instead ?
    PAT*PAT: I don't think you need a hammer to fix the train # let's play with the slide ?
    PATok # I'll roll the green one down .
    CHIxxx .
  2. CHIbig # big # big !
    PATis that too big for the slide ?
    PAT*PAT: here # I can fix it # want me to show you ?
    PATlook # look here # it doesn't go this way # it goes this way # <see> [>] ?
    PAT<it goes this way> [>] .
  3. PAThere # like this # there # oops # there # wan(t) (t)a put in on the floor ?
    PATthat's right # now # now you can roll the wheels down ## it fell apart again .
    PAT*PAT: you do wan(t) (t)a learn how to fix that slide # don't you ?
    CHIyyy .
    PATmmhm .
  4. PATmmhm .
    CHIxxx fix .
    PAT*PAT: ok # I'll fix it # there .
    CHIwheels ## xxx # xxx .
    CHIxxx yyy # yyy .
  5. MAXyou fitting the trains together ?
    CHIxxx fix # fix !
    MAX*MAX: fix ?
    MAXwant me to fix it ?
    CHIfix [!!] it [!!] # yyy .
  6. CHIxxx fix # fix !
    MAXfix ?
    MAX*MAX: want me to fix it ?
    CHIfix [!!] it [!!] # yyy .
    MAXthat one doesn't attach .

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. Peter eng_USA_Bloom2.97
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Bloom/peter02.chaPeter 1;9.252,020662.97

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. fix6 · 100.0%