PHPCLANCHILDES with regular expressions

10 matches in 10 utterances

7.75 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (384 utterances, 1,290 words searched).

  1. put them back down there then . MOT · eng_british_Manchester_I/becky21a.cha, line 65 · Becky 2;07
  2. is that upsidedown now then ? MOT · eng_british_Manchester_I/becky21a.cha, line 79 · Becky 2;07
  3. shall we take these off then ? MOT · eng_british_Manchester_I/becky21a.cha, line 285 · Becky 2;07
  4. can you find an [//] a nose then ? MOT · eng_british_Manchester_I/becky21a.cha, line 373 · Becky 2;07
  5. go on then . MOT · eng_british_Manchester_I/becky21a.cha, line 409 · Becky 2;07
  6. hold onto that then . MOT · eng_british_Manchester_I/becky21a.cha, line 777 · Becky 2;07
  7. what's the next one then ? MOT · eng_british_Manchester_I/becky21a.cha, line 987 · Becky 2;07
  8. now then . MOT · eng_british_Manchester_I/becky21a.cha, line 1104 · Becky 2;07
  9. I'll put this up a bit then if you're cold . MOT · eng_british_Manchester_I/becky21a.cha, line 1331 · Becky 2;07
  10. then we just pop them back in like that . MOT · eng_british_Manchester_I/becky21a.cha, line 1421 · Becky 2;07
  1. MOTgo on .
    CHIxxx .
    MOT*MOT: put them back down there then .
    CHIthose are eyes , Mum .
    CHIthose are mine [*] eyes .
  2. CHIand I have brows +...
    CHIand they go on +/.
    MOT*MOT: is that upsidedown now then ?
    MOThave I turned it upsidedown ?
    CHIyes .
  3. CHImmhm .
    MOTright .
    MOT*MOT: shall we take these off then ?
    MOTand start again ?
    CHIxxx .
  4. MOTa round nose ?
    CHIand there .
    MOT*MOT: can you find an [//] a nose then ?
    CHIum yes .
    CHIum +...
  5. MOTsome hair for me ?
    CHIyes .
    MOT*MOT: go on then .
    CHIthis is a [/] a beard .
    MOTit can be a beard .
  6. CHIand +...
    CHIxxx .
    MOT*MOT: hold onto that then .
    CHIit's very light .
    CHIit's very light , Mum .
  7. MOTokay ?
    CHIthere we are .
    MOT*MOT: what's the next one then ?
    CHIwhat's the next one ?
    MOToh .
  8. MOThmm ?
    CHIwhat's this ?
    MOT*MOT: now then .
    MOTyou need green , don't you ?
    MOTgreen to do the nice green hen .
  9. CHIyeah .
    MOTare you ?
    MOT*MOT: I'll put this up a bit then if you're cold .
    CHIthere .
    CHIthere .
  10. CHIxxx .
    CHImake a frog .
    MOT*MOT: then we just pop them back in like that .
    MOTsee ?
    MOTare you tired ?

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_I7.75
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky21a.chaBecky 2;7.021,29010107.75

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. then10 · 100.0%