PHPCLANCHILDES with regular expressions

7 matches in 6 utterances

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

  1. is he gonna go on that train instead ? PAT · eng_USA_Bloom/peter02.cha, line 265 · Peter 1;09
  2. did he [= little man] fall out ? PAT · eng_USA_Bloom/peter02.cha, line 638 · Peter 1;09
  3. oops # he fell out . PAT · eng_USA_Bloom/peter02.cha, line 640 · Peter 1;09
  4. oops # he fell out . PAT · eng_USA_Bloom/peter02.cha, line 644 · Peter 1;09
  5. oops he fell off . PAT · eng_USA_Bloom/peter02.cha, line 668 · Peter 1;09
  6. he fell off again # oops # he fell off again # oops ! PAT · eng_USA_Bloom/peter02.cha, line 684 · Peter 1;09
  7. he fell off again # oops # he fell off again # oops ! PAT · eng_USA_Bloom/peter02.cha, line 684 · Peter 1;09
  1. eng_USA_Bloom/peter02.cha, line 265 · Peter, 1;9.25
    PAThere's another piece of the train .
    CHIyyy # bridge .
    PAT*PAT: is he gonna go on that train instead ?
    PATunder the bridge ?
    CHIyyy .
  2. eng_USA_Bloom/peter02.cha, line 638 · Peter, 1;9.25
    PATseesaw .
    CHI<see(saw)> [/] oops .
    PAT*PAT: did he [= little man] fall out ?
    PAToops # he fell out .
    CHIoops xxx .
  3. eng_USA_Bloom/peter02.cha, line 640 · Peter, 1;9.25
    CHI<see(saw)> [/] oops .
    PATdid he [= little man] fall out ?
    PAT*PAT: oops # he fell out .
    CHIoops xxx .
    PAToops # he fell out .
  4. eng_USA_Bloom/peter02.cha, line 644 · Peter, 1;9.25
    PAToops # he fell out .
    CHIoops xxx .
    PAT*PAT: oops # he fell out .
    CHIseesaw ## seesaw .
    PATyou gonna make the donkey ride the seesaw again ?
  5. eng_USA_Bloom/peter02.cha, line 668 · Peter, 1;9.25
    CHIoops .
    PAToops the donkey's about +...
    PAT*PAT: oops he fell off .
    CHIyyy .
    PATyou gonna put him back on ?
  6. eng_USA_Bloom/peter02.cha, line 684 · Peter, 1;9.25
    PAToops !
    CHIa doggie .
    PAT*PAT: he fell off again # oops # he fell off again # oops !
    PATnow the mouse fell off !
    CHImouse .

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_Bloom3.47
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Bloom/peter02.chaPeter 1;9.252,020673.47

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. he7 · 100.0%