PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

3.39 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (274 utterances, 1,180 words searched).

  1. your name what ? MEL · eng_USA_Brown/sarah114.cha, line 1000 · Sarah 4;06
  2. your name ? MEL · eng_USA_Brown/sarah114.cha, line 1004 · Sarah 4;06
  3. whose name do you want it # to know ? MEL · eng_USA_Brown/sarah114.cha, line 1019 · Sarah 4;06
  4. that's its name . MEL · eng_USA_Brown/sarah114.cha, line 1034 · Sarah 4;06
  1. eng_USA_Brown/sarah114.cha, line 1000 · Sarah, 4;6.17
    CHInot dat one .
    CHIyour name that's in there # you're talking to .
    MEL*MEL: your name what ?
    CHIinto you're talking to .
    MELyour name ?
  2. eng_USA_Brown/sarah114.cha, line 1004 · Sarah, 4;6.17
    MELyour name what ?
    CHIinto you're talking to .
    MEL*MEL: your name ?
    CHIno # in +...
    MOTheaven help Gail .
  3. eng_USA_Brown/sarah114.cha, line 1019 · Sarah, 4;6.17
    MOTd(o) you want the sugar ?
    MELok .
    MEL*MEL: whose name do you want it # to know ?
    MELthat's what it's asking .
    CHIum # your name .
  4. eng_USA_Brown/sarah114.cha, line 1034 · Sarah, 4;6.17
    MOTdoes that satisfy you ?
    MELthat's what it says here .
    MEL*MEL: that's its name .
    MELsee ?
    CHIWillis [/] Willisign .

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_Brown3.39
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah114.chaSarah 4;6.171,180443.39

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. name4 · 100.0%