PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

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

  1. which one do you want ? MOT · eng_british_Manchester_II/joel05a.cha, line 223 · Joel 2;00
  2. I think I know which one Aunty_Sharon got you . MOT · eng_british_Manchester_II/joel05a.cha, line 862 · Joel 2;00
  3. which badge went on there . MOT · eng_british_Manchester_II/joel05a.cha, line 878 · Joel 2;00
  4. do you know which badge went on there ? MOT · eng_british_Manchester_II/joel05a.cha, line 882 · Joel 2;00
  5. which badge went on +... MOT · eng_british_Manchester_II/joel05a.cha, line 915 · Joel 2;00
  6. which badge went on that one then ? MOT · eng_british_Manchester_II/joel05a.cha, line 917 · Joel 2;00
  1. eng_british_Manchester_II/joel05a.cha, line 223 · Joel, 2;0.12
    CHImore books .
    MOTmore books ?
    MOT*MOT: which one do you want ?
    CHIfox .
    CHIa fox .
  2. eng_british_Manchester_II/joel05a.cha, line 862 · Joel, 2;0.12
    MOTwww .
    MOTAunty_Sharon .
    MOT*MOT: I think I know which one Aunty_Sharon got you .
    CHIbadge .
    CHIMummy, badge .
  3. eng_british_Manchester_II/joel05a.cha, line 878 · Joel, 2;0.12
    MOTyour badge was on there .
    MOTxxx .
    MOT*MOT: which badge went on there .
    MOTcan you +//.
    MOTdo you know which badge went on there ?
  4. eng_british_Manchester_II/joel05a.cha, line 882 · Joel, 2;0.12
    MOTwhich badge went on there .
    MOTcan you +//.
    MOT*MOT: do you know which badge went on there ?
    CHIthat one .
    MOTyeah .
  5. eng_british_Manchester_II/joel05a.cha, line 915 · Joel, 2;0.12
    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 ?
  6. eng_british_Manchester_II/joel05a.cha, line 917 · Joel, 2;0.12
    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 .

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_II2.83
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/joel05a.chaJoel 2;0.122,121662.83

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. which6 · 100.0%