PHPCLANCHILDES with regular expressions

13 matches in 13 utterances

5.99 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (507 utterances, 2,172 words searched).

  1. oh there's no picture there , is there ? MOT · eng_british_Manchester_II/warr07a.cha, line 17 · Warren 2;00
  2. no . MOT · eng_british_Manchester_II/warr07a.cha, line 123 · Warren 2;00
  3. er no picture on that side . MOT · eng_british_Manchester_II/warr07a.cha, line 160 · Warren 2;00
  4. no . MOT · eng_british_Manchester_II/warr07a.cha, line 174 · Warren 2;00
  5. is that a no that means yes ? MOT · eng_british_Manchester_II/warr07a.cha, line 198 · Warren 2;00
  6. oh no he hasn't . MOT · eng_british_Manchester_II/warr07a.cha, line 290 · Warren 2;00
  7. no . MOT · eng_british_Manchester_II/warr07a.cha, line 587 · Warren 2;00
  8. no . MOT · eng_british_Manchester_II/warr07a.cha, line 697 · Warren 2;00
  9. no he's not running . MOT · eng_british_Manchester_II/warr07a.cha, line 924 · Warren 2;00
  10. and no shoes . MOT · eng_british_Manchester_II/warr07a.cha, line 1015 · Warren 2;00
  11. why are you out on the balcony with no shoes ? MOT · eng_british_Manchester_II/warr07a.cha, line 1017 · Warren 2;00
  12. there's Warren still with no shoes on the balcony wearing a very silly hat . MOT · eng_british_Manchester_II/warr07a.cha, line 1022 · Warren 2;00
  13. no . MOT · eng_british_Manchester_II/warr07a.cha, line 1096 · Warren 2;00
  1. MOTcrash .
    MOTclatter .
    MOT*MOT: oh there's no picture there , is there ?
    MOTshall we make it ?
    CHIyeah .
  2. MOTwhat does the bird say ?
    CHIgo there .
    MOT*MOT: no .
    MOTthat bit doesn't go there .
    MOTthat bit goes there .
  3. MOTand where does the last piece go ?
    CHIthere .
    MOT*MOT: er no picture on that side .
    MOTwhoops .
    CHIthat 0is [*] a flower .
  4. MOTI don't think it's that one .
    MOTI think it's the other bit of picture .
    MOT*MOT: no .
    MOTthe other picture .
    MOTthat bit of picture there .
  5. MOTshall Mummy make the picture of Thomas very quickly ?
    CHIno .
    MOT*MOT: is that a no that means yes ?
    CHIno .
    MOTMummy can make it very quickly .
  6. MOThe has .
    MOTand Henry's gone and the Fat_Controller's gone .
    MOT*MOT: oh no he hasn't .
    MOThe's there .
    CHImake again .
  7. MOTThomas is next to Henry .
    CHIwatch Thomas .
    MOT*MOT: no .
    MOTyou can't watch Thomas .
    MOTI think you watched enough Thomas yesterday .
  8. MOTshe's obviously being thick this morning .
    MOToh the photographs .
    MOT*MOT: no .
    MOTyou don't need to look at photographs sweetheart .
    CHIWarren look .
  9. MOTpardon ?
    CHIrunning .
    MOT*MOT: no he's not running .
    MOTwhat's he doing ?
    CHIkicking the ball .
  10. CHIWarren there .
    MOTWarren's just dressed up as a little boy with Noddy socks on .
    MOT*MOT: and no shoes .
    MOTwhy are you out on the balcony with no shoes ?
    MOTwhat's next ?
  11. MOTWarren's just dressed up as a little boy with Noddy socks on .
    MOTand no shoes .
    MOT*MOT: why are you out on the balcony with no shoes ?
    MOTwhat's next ?
    MOTthere's Warren still with no shoes on the balcony wearing a very silly hat .
  12. MOTwhy are you out on the balcony with no shoes ?
    MOTwhat's next ?
    MOT*MOT: there's Warren still with no shoes on the balcony wearing a very silly hat .
    MOToh and there's spotty Warren .
    MOTcan you see Warren's spots on his face ?
  13. MOTdo you want to wear your fireman's helmet ?
    MOTwhat are you +//.
    MOT*MOT: no .
    MOTwe're not having more photographs .
    MOTwe don't want more photographs .

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_II5.99
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/warr07a.chaWarren 2;0.172,17213135.99

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. no13 · 100.0%