PHPCLANCHILDES with regular expressions

6 matches in 5 utterances

2.63 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (637 utterances, 2,284 words searched).

  1. that's nice . INV · eng_british_Manchester_II/nic01a.cha, line 161 · Nicole 2;00
  2. you're cooking a very nice meal , aren't you ? MOT · eng_british_Manchester_II/nic01a.cha, line 321 · Nicole 2;00
  3. now you were nice and gentle with Caroline and now you're nice and rough with me . MOT · eng_british_Manchester_II/nic01a.cha, line 719 · Nicole 2;00
  4. now you were nice and gentle with Caroline and now you're nice and rough with me . MOT · eng_british_Manchester_II/nic01a.cha, line 719 · Nicole 2;00
  5. a nice healthy sandwich there . INV · eng_british_Manchester_II/nic01a.cha, line 1532 · Nicole 2;00
  6. this is nice . MOT · eng_british_Manchester_II/nic01a.cha, line 1584 · Nicole 2;00
  1. INVshe's having pie for breakfast ?
    MOTmmm .
    INV*INV: that's nice .
    CHIxxx .
    MOTwhat's this , Nicole ?
  2. MOToh .
    MOTare we having scrambled eggs now ?
    MOT*MOT: you're cooking a very nice meal , aren't you ?
    CHIxxx .
    MOTwho's this ?
  3. MOToh .
    MOToh .
    MOT*MOT: now you were nice and gentle with Caroline and now you're nice and rough with me .
    INVoh dear .
    INVtickling Mummy's feet ?
  4. MOToh .
    MOTare you going to put that on the sandwich like that , look .
    INV*INV: a nice healthy sandwich there .
    MOTthere .
    MOTare you going to pass that to Caroline ?
  5. INVthank you .
    MOTmmm .
    MOT*MOT: this is nice .
    MOTmmm .
    MOTwe like toast , don't we ?

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. Nicole eng_british_Manchester_II2.63
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/nic01a.chaNicole 2;0.252,284562.63

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. nice6 · 100.0%