PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

3.21 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (291 utterances, 1,245 words searched).

  1. a big happy face in the middle # huh ? GAI · eng_USA_Brown/sarah102.cha, line 1214 · Sarah 4;03
  2. here Sarah # do you think the moon has a face ? MEL · eng_USA_Brown/sarah102.cha, line 1257 · Sarah 4;03
  3. have you seen a face in the moon ? MEL · eng_USA_Brown/sarah102.cha, line 1260 · Sarah 4;03
  4. but you didn't see a face ? MEL · eng_USA_Brown/sarah102.cha, line 1275 · Sarah 4;03
  1. MOThow you xxx a sun .
    CHI(a)n(d) a big happy face .
    GAI*GAI: a big happy face in the middle # huh ?
    CHIdat's a big happy face .
    MOTthat's beautiful .
  2. MOTI don('t) know .
    CHIyou didn't guess so you have to get a@l .
    MEL*MEL: here Sarah # do you think the moon has a face ?
    MELhave you seen a face in the moon ?
    CHIcourse not .
  3. CHIyou didn't guess so you have to get a@l .
    MELhere Sarah # do you think the moon has a face ?
    MEL*MEL: have you seen a face in the moon ?
    CHIcourse not .
    CHIdo you think ?
  4. CHII saw # it in the moon .
    CHII saw # stars in the moon # hmm !
    MEL*MEL: but you didn't see a face ?
    CHIbut dat (a)n(d) dat (a)n(d) dat xxx .
    MOTthat's all .

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_Brown3.21
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah102.chaSarah 4;3.261,245443.21

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. face4 · 100.0%