PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

2.36 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (500 utterances, 2,546 words searched).

  1. will you ask the old lady where she's going to get the food ? URS · eng_USA_Brown/sarah139.cha, line 148 · Sarah 5;01
  2. old lady # where will you get the food ? ROG · eng_USA_Brown/sarah139.cha, line 151 · Sarah 5;01
  3. he'll get bitten . URS · eng_USA_Brown/sarah139.cha, line 690 · Sarah 5;01
  4. that's the hardest one to get right . ROG · eng_USA_Brown/sarah139.cha, line 1119 · Sarah 5;01
  5. would you ask the old lady where she'll get the milk ? URS · eng_USA_Brown/sarah139.cha, line 1546 · Sarah 5;01
  6. ask her where she'll get the milk # will you ? URS · eng_USA_Brown/sarah139.cha, line 1551 · Sarah 5;01
  1. ROGMr Alligator .
    ROGyes # maam .
    URS*URS: will you ask the old lady where she's going to get the food ?
    ROGold lady # where will you get the food ?
    URSI'm just going to walk all around this table until I find it .
  2. ROGyes # maam .
    URSwill you ask the old lady where she's going to get the food ?
    ROG*ROG: old lady # where will you get the food ?
    URSI'm just going to walk all around this table until I find it .
    ROGwhy don't you be the alligator # Sarah .
  3. CHIwhere's the alli(gator) +...
    URSI think Professor_Brown's sitting on the alligator .
    URS*URS: he'll get bitten .
    ROGsitting on the alligator .
    ROGisn't that awful ?
  4. URS+" to come with him .
    URSok .
    ROG*ROG: that's the hardest one to get right .
    ROGshe does that all the time in natural conversation .
    URSok # that was good .
  5. URSMister Alligator .
    CHIwhat ?
    URS*URS: would you ask the old lady where she'll get the milk ?
    CHIoh # that I know a easy way .
    URSask her where she'll get the milk # will you ?
  6. URSwould you ask the old lady where she'll get the milk ?
    CHIoh # that I know a easy way .
    URS*URS: ask her where she'll get the milk # will you ?
    CHIhere .
    CHIhere .

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_Brown2.36
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah139.chaSarah 5;1.062,546662.36

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. get6 · 100.0%