PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

3.46 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (394 utterances, 2,022 words searched).

  1. oh yes . MOT · eng_british_Manchester_II/warr34a.cha, line 190 · Warren 2;09
  2. yes . MOT · eng_british_Manchester_II/warr34a.cha, line 207 · Warren 2;09
  3. yes . MOT · eng_british_Manchester_II/warr34a.cha, line 417 · Warren 2;09
  4. yes . MOT · eng_british_Manchester_II/warr34a.cha, line 443 · Warren 2;09
  5. oh yes . INV · eng_british_Manchester_II/warr34a.cha, line 711 · Warren 2;09
  6. yes . MOT · eng_british_Manchester_II/warr34a.cha, line 1084 · Warren 2;09
  7. oh yes . MOT · eng_british_Manchester_II/warr34a.cha, line 1168 · Warren 2;09
  1. CHIthe car [*] have a ice+cream .
    CHIlady's got a ice+cream on her with a cherry on top .
    MOT*MOT: oh yes .
    MOTa what on top .
    CHIice+cream with a [//] some [/] some nice bits of ice+cream and a cherry on top .
  2. MOTis this the broken down lady then ?
    CHIyes .
    MOT*MOT: yes .
    MOTis she going to drive the lorry ?
    MOTwill she fit in ?
  3. MOTthat's better .
    CHIMummy .
    MOT*MOT: yes .
    CHIno .
    CHIno .
  4. CHIno .
    CHIMummy .
    MOT*MOT: yes .
    CHIa man's go [*] on that .
    CHIa man's going on that side next to the lady and the lady (i)s (g)oing on this side .
  5. CHIwatch .
    CHIand that goes up and down when that chuffing wheels go .
    INV*INV: oh yes .
    INVI get the idea .
    MOTthe key should be in here somewhere so we can wind it up but I don't know where .
  6. MOTI shall have a bruise on my knee now .
    CHIMummy .
    MOT*MOT: yes .
    CHIthis one 0is [*] broken down car .
    CHIand [/] and there's a truck to tow it .
  7. MOToh I'd better be careful then if the policeman's come out , hadn't I ?
    CHIpoliceman and Thomas badge .
    MOT*MOT: oh yes .
    MOToh we'll need to keep safe hold of that Thomas badge so we can put it in your badge bag to go with your holiday badges .
    MOTif that policeman is in your mouth you'd better take it out .

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. Warren eng_british_Manchester_II3.46
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/warr34a.chaWarren 2;9.202,022773.46

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. yes7 · 100.0%