PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

3.67 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (606 utterances, 1,905 words searched).

  1. there's a nice battered old policecar . MOT · eng_british_Manchester_II/joel23a.cha, line 61 · Joel 2;06
  2. nice cake . MOT · eng_british_Manchester_II/joel23a.cha, line 146 · Joel 2;06
  3. he is nice , isn't he ? MOT · eng_british_Manchester_II/joel23a.cha, line 154 · Joel 2;06
  4. the other one is just sitting there nice and quiet . MOT · eng_british_Manchester_II/joel23a.cha, line 416 · Joel 2;06
  5. that's not nice , is it ? MOT · eng_british_Manchester_II/joel23a.cha, line 442 · Joel 2;06
  6. or they could have a nice healthy apple . INV · eng_british_Manchester_II/joel23a.cha, line 1014 · Joel 2;06
  7. it's a nice big sticky+bun . MOT · eng_british_Manchester_II/joel23a.cha, line 1049 · Joel 2;06
  1. INVI don't know .
    CHII want the cars .
    MOT*MOT: there's a nice battered old policecar .
    MOTthat'll do , willn't it ?
    CHIyeah .
  2. MOTthat'll make him feel better , willn't it ?
    CHIyeah .
    MOT*MOT: nice cake .
    CHIthis make him better .
    MOTmmhm .
  3. MOTmmhm .
    CHIhe's nice , look .
    MOT*MOT: he is nice , isn't he ?
    MOTyeah .
    MOTis he your friend ?
  4. MOThe's not doing very well , is he ?
    CHIlook .
    MOT*MOT: the other one is just sitting there nice and quiet .
    MOTand he's getting all the bumps and bruises .
    CHIwhat ?
  5. MOToh .
    MOTwell .
    MOT*MOT: that's not nice , is it ?
    MOTstop it .
    MOTdon't do that .
  6. MOTchocolate cake .
    MOTthe best of both worlds .
    INV*INV: or they could have a nice healthy apple .
    CHIand then they have a healthy apple .
    INVokay .
  7. MOThere's your ice+cream ?
    MOToh .
    MOT*MOT: it's a nice big sticky+bun .
    CHIa nice sticky bum ?
    MOTbun .

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. Joel eng_british_Manchester_II3.67
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/joel23a.chaJoel 2;6.191,905773.67

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. nice7 · 100.0%