PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

3.30 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (430 utterances, 1,513 words searched).

  1. go on then . MOT · eng_british_Manchester_I/becky19a.cha, line 83 · Becky 2;06
  2. stand up then . MOT · eng_british_Manchester_I/becky19a.cha, line 475 · Becky 2;06
  3. shall we put your name badge on then ? MOT · eng_british_Manchester_I/becky19a.cha, line 483 · Becky 2;06
  4. go on then . MOT · eng_british_Manchester_I/becky19a.cha, line 1227 · Becky 2;06
  5. go on then . MOT · eng_british_Manchester_I/becky19a.cha, line 1237 · Becky 2;06
  1. CHIyes .
    CHIxxx .
    MOT*MOT: go on then .
    CHItrain .
    CHIcome on .
  2. CHIthere [>] .
    MOT<do you> [<] want this on ?
    MOT*MOT: stand up then .
    MOTare you going to be Doctor_Dodson ?
    CHIyeah .
  3. CHIyeah .
    MOTare you ?
    MOT*MOT: shall we put your name badge on then ?
    MOTthere you are .
    CHIthis .
  4. MOTdo you know the words ?
    CHIyeah .
    MOT*MOT: go on then .
    CHII don't know words .
    CHIlook .
  5. CHIget off .
    CHIbridge .
    MOT*MOT: go on then .
    MOTyou sing it .
    CHIxxx .

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. Becky eng_british_Manchester_I3.30
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky19a.chaBecky 2;6.191,513553.30

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. then5 · 100.0%