PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

3.30 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (606 utterances, 2,121 words searched).

  1. which badge went on there . MOT · eng_british_Manchester_II/joel05a.cha, line 878 · Joel 2;00
  2. do you know which badge went on there ? MOT · eng_british_Manchester_II/joel05a.cha, line 882 · Joel 2;00
  3. which badge went on +... MOT · eng_british_Manchester_II/joel05a.cha, line 915 · Joel 2;00
  4. which badge went on that one then ? MOT · eng_british_Manchester_II/joel05a.cha, line 917 · Joel 2;00
  5. that went on all of them, did it ? MOT · eng_british_Manchester_II/joel05a.cha, line 921 · Joel 2;00
  6. Jess went on there, didn't she ? MOT · eng_british_Manchester_II/joel05a.cha, line 933 · Joel 2;00
  7. and Thomas went on that one . MOT · eng_british_Manchester_II/joel05a.cha, line 939 · Joel 2;00
  1. MOTyour badge was on there .
    MOTxxx .
    MOT*MOT: which badge went on there .
    MOTcan you +//.
    MOTdo you know which badge went on there ?
  2. MOTwhich badge went on there .
    MOTcan you +//.
    MOT*MOT: do you know which badge went on there ?
    CHIthat one .
    MOTyeah .
  3. MOTit's a Thomas badge on a Thomas card .
    MOTxxx that one .
    MOT*MOT: which badge went on +...
    MOTwhich badge went on that one then ?
    MOTthat went on all of them, did it ?
  4. MOTxxx that one .
    MOTwhich badge went on +...
    MOT*MOT: which badge went on that one then ?
    MOTthat went on all of them, did it ?
    CHIxxx Mummy do it .
  5. MOTwhich badge went on +...
    MOTwhich badge went on that one then ?
    MOT*MOT: that went on all of them, did it ?
    CHIxxx Mummy do it .
    MOTyeah .
  6. MOTyeah .
    MOTbut that one doesn't go on there .
    MOT*MOT: Jess went on there, didn't she ?
    MOTwhoops .
    MOTthat's it .
  7. MOTwhoops .
    MOTthat's it .
    MOT*MOT: and Thomas went on that one .
    MOTand who's <on your> [//] on the card with Thomas ?
    MOTI think it's lost it's stick .

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_II3.30
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/joel05a.chaJoel 2;0.122,121773.30

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. went7 · 100.0%