PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

2.44 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (325 utterances, 1,639 words searched).

  1. that says the same thing this says . MEL · eng_USA_Brown/sarah117.cha, line 149 · Sarah 4;07
  2. no # this is the same # isn't it ? MEL · eng_USA_Brown/sarah117.cha, line 159 · Sarah 4;07
  3. just the same ? MEL · eng_USA_Brown/sarah117.cha, line 507 · Sarah 4;07
  4. you must have the same problem I have # except yours is the opposite . MOT · eng_USA_Brown/sarah117.cha, line 1057 · Sarah 4;07
  1. eng_USA_Brown/sarah117.cha, line 149 · Sarah, 4;7.11
    CHIwhat this say ?
    CHIthis .
    MEL*MEL: that says the same thing this says .
    MELdo you know what the letters are ?
    CHIwhat ?
  2. eng_USA_Brown/sarah117.cha, line 159 · Sarah, 4;7.11
    CHIw@l # o@l # l@l um +...
    CHI&t # t@l .
    MEL*MEL: no # this is the same # isn't it ?
    CHIyeah # I said both of them .
    MELoh # ok .
  3. eng_USA_Brown/sarah117.cha, line 507 · Sarah, 4;7.11
    MELcan you do it ?
    CHIuhhuh .
    MEL*MEL: just the same ?
    MELthat was a good way to do it .
    GAIwhy do you do that # Sarah ?
  4. eng_USA_Brown/sarah117.cha, line 1057 · Sarah, 4;7.11
    CHIno .
    CHIwhat'd you get ?
    MOT*MOT: you must have the same problem I have # except yours is the opposite .
    CHIoh # devil dog .
    MELhow tall are you ?

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_Brown2.44
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah117.chaSarah 4;7.111,639442.44

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. same4 · 100.0%