PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

3.08 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (375 utterances, 1,625 words searched).

  1. she's a new sister ? ANN · eng_USA_Brown/sarah092.cha, line 203 · Sarah 4;01
  2. is she new ? ANN · eng_USA_Brown/sarah092.cha, line 205 · Sarah 4;01
  3. Ann_Marie's got a new poodle . MOT · eng_USA_Brown/sarah092.cha, line 309 · Sarah 4;01
  4. a new poodle . MEL · eng_USA_Brown/sarah092.cha, line 312 · Sarah 4;01
  5. here's some new one you could put in . ANN · eng_USA_Brown/sarah092.cha, line 1163 · Sarah 4;01
  1. ANNSister who ?
    MOTWilliam Claire ?
    ANN*ANN: she's a new sister ?
    ANNis she new ?
    MOThe's the principal .
  2. MOTWilliam Claire ?
    ANNshe's a new sister ?
    ANN*ANN: is she new ?
    MOThe's the principal .
    ANNyou mean Sister Margareta .
  3. CHIthis is hard to do .
    ANNwant me to do it ?
    MOT*MOT: Ann_Marie's got a new poodle .
    MELa new poodle .
    MOTyeah # she got a poodle the other day .
  4. ANNwant me to do it ?
    MOTAnn_Marie's got a new poodle .
    MEL*MEL: a new poodle .
    MOTyeah # she got a poodle the other day .
    MOTPierre # Le Duc .
  5. CHIit too easy .
    ANNthat one goes right there # Sarah .
    ANN*ANN: here's some new one you could put in .
    CHIdoes this go to Charmin(g)z_Chatty ?
    MOTSarah # right here .

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_Brown3.08
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah092.chaSarah 4;1.181,625553.08

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. new5 · 100.0%