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. want a cup a tea ? MOT · eng_USA_Brown/sarah114.cha, line 717 · Sarah 4;06
  2. do you want me to write it or draw it ? MOT · eng_USA_Brown/sarah114.cha, line 807 · Sarah 4;06
  3. d(o) you want the sugar ? MOT · eng_USA_Brown/sarah114.cha, line 1015 · Sarah 4;06
  4. whose name do you want it # to know ? MEL · eng_USA_Brown/sarah114.cha, line 1019 · Sarah 4;06
  1. eng_USA_Brown/sarah114.cha, line 717 · Sarah, 4;6.17
    MOThuh ?
    CHIyes # yes # yes .
    MOT*MOT: want a cup a tea ?
    MELI'd love some .
    MELyeah # thank+you .
  2. eng_USA_Brown/sarah114.cha, line 807 · Sarah, 4;6.17
    CHIwrite it # carriage .
    CHIwrite a carriage .
    MOT*MOT: do you want me to write it or draw it ?
    CHIdraw it .
    MELok .
  3. eng_USA_Brown/sarah114.cha, line 1015 · Sarah, 4;6.17
    CHI<what it> [/] what it sayin(g) ?
    MELit's saying it doesn't understand quite what you mean .
    MOT*MOT: d(o) you want the sugar ?
    MELok .
    MELwhose name do you want it # to know ?
  4. 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 .

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. want4 · 100.0%