PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

2.73 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (327 utterances, 1,466 words searched).

  1. and I called her up for supper and she wanted noodles for supper . MOT · eng_USA_Brown/sarah097.cha, line 112 · Sarah 4;02
  2. …d one hand on each side of the dish and she had her head right in the noodles . MOT · eng_USA_Brown/sarah097.cha, line 125 · Sarah 4;02
  3. how_come you like noodles ? MEL · eng_USA_Brown/sarah097.cha, line 142 · Sarah 4;02
  4. I love noodles . ANN · eng_USA_Brown/sarah097.cha, line 144 · Sarah 4;02
  1. MOTshe fell asleep last night at half past five .
    GAImmhm .
    MOT*MOT: and I called her up for supper and she wanted noodles for supper .
    MOTDon don't come home so on Thursday night it's pot luck .
    MOTwhatever she wants she can have .
  2. GAImmhm .
    MOTwell I got it all ready # she finally come out # she sat down with it .
    MOT*MOT: I turned to the refrigerator to get the milk and I come back and she had one hand on each side of the dish and she had her head right in the noodles .
    MOTsound asleep .
    MOTI picked her up # put her to bed # four o'clock this morning she woke up .
  3. MELshe wanted a Pepsi .
    MOTyeah # so she come out and had it and went back to bed until seven .
    MEL*MEL: how_come you like noodles ?
    ANNI love noodles .
    MOTshe was exhausted .
  4. MOTyeah # so she come out and had it and went back to bed until seven .
    MELhow_come you like noodles ?
    ANN*ANN: I love noodles .
    MOTshe was exhausted .
    MOTuhhuh # she just collapsed .

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_Brown2.73
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah097.chaSarah 4;2.231,466442.73

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. noodles4 · 100.0%