PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

2.71 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (421 utterances, 1,476 words searched).

  1. want a glass of milk ? MOT · eng_USA_Brown/sarah012.cha, line 475 · Sarah 2;05
  2. any more milk in the glass ? COU · eng_USA_Brown/sarah012.cha, line 1440 · Sarah 2;05
  3. is the milk all gone ? COU · eng_USA_Brown/sarah012.cha, line 1442 · Sarah 2;05
  4. more milk ? COU · eng_USA_Brown/sarah012.cha, line 1444 · Sarah 2;05
  1. eng_USA_Brown/sarah012.cha, line 475 · Sarah, 2;5.07
    MOTyou like the cold ice+cream ?
    MOThuh ?
    MOT*MOT: want a glass of milk ?
    MOThuh ?
    CHII xxx milk .
  2. eng_USA_Brown/sarah012.cha, line 1440 · Sarah, 2;5.07
    COUwhat's in your glass ?
    CHImilk .
    COU*COU: any more milk in the glass ?
    COUis the milk all gone ?
    COUmore milk ?
  3. eng_USA_Brown/sarah012.cha, line 1442 · Sarah, 2;5.07
    CHImilk .
    COUany more milk in the glass ?
    COU*COU: is the milk all gone ?
    COUmore milk ?
    COUwell # you did that justice .
  4. eng_USA_Brown/sarah012.cha, line 1444 · Sarah, 2;5.07
    COUany more milk in the glass ?
    COUis the milk all gone ?
    COU*COU: more milk ?
    COUwell # you did that justice .
    COUdidn't ya # huh .

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_Brown2.71
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah012.chaSarah 2;5.071,476442.71

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. milk4 · 100.0%