PHPCLANCHILDES with regular expressions

13 matches in 13 utterances

9.05 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (447 utterances, 1,436 words searched).

  1. how many ? MOT · eng_british_Manchester_I/gail20a.cha, line 109 · Gail 2;06
  2. how about Old_Bear . MOT · eng_british_Manchester_I/gail20a.cha, line 117 · Gail 2;06
  3. how many ? MOT · eng_british_Manchester_I/gail20a.cha, line 127 · Gail 2;06
  4. how far apart they are . MOT · eng_british_Manchester_I/gail20a.cha, line 160 · Gail 2;06
  5. how big are my toes then ? MOT · eng_british_Manchester_I/gail20a.cha, line 176 · Gail 2;06
  6. how big are they ? MOT · eng_british_Manchester_I/gail20a.cha, line 272 · Gail 2;06
  7. how big are mine ? INV · eng_british_Manchester_I/gail20a.cha, line 286 · Gail 2;06
  8. how do you want your hair ? MOT · eng_british_Manchester_I/gail20a.cha, line 338 · Gail 2;06
  9. how many ? MOT · eng_british_Manchester_I/gail20a.cha, line 463 · Gail 2;06
  10. how many ? MOT · eng_british_Manchester_I/gail20a.cha, line 518 · Gail 2;06
  11. how many (i)s he got ? MOT · eng_british_Manchester_I/gail20a.cha, line 980 · Gail 2;06
  12. how many teeth has he got ? MOT · eng_british_Manchester_I/gail20a.cha, line 986 · Gail 2;06
  13. feel how sticky they are ? MOT · eng_british_Manchester_I/gail20a.cha, line 1306 · Gail 2;06
  1. eng_british_Manchester_I/gail20a.cha, line 109 · Gail, 2;6.16
    INVyes .
    CHIxxx .
    MOT*MOT: how many ?
    INVxxx .
    CHIhow about Old_Bear .
  2. eng_british_Manchester_I/gail20a.cha, line 117 · Gail, 2;6.16
    CHIhow about Old_Bear .
    MOTokay .
    MOT*MOT: how about Old_Bear .
    MOTgood idea .
    CHIon back .
  3. eng_british_Manchester_I/gail20a.cha, line 127 · Gail, 2;6.16
    MOTmeasure his back .
    MOTwhat do you think ?
    MOT*MOT: how many ?
    CHItwenty .
    MOTtwenty ?
  4. eng_british_Manchester_I/gail20a.cha, line 160 · Gail, 2;6.16
    CHImeasure his eyes .
    MOTmeasure his eyes ?
    MOT*MOT: how far apart they are .
    MOTxxx .
    CHImeasuring his toes .
  5. eng_british_Manchester_I/gail20a.cha, line 176 · Gail, 2;6.16
    MOTif I can get them out .
    MOTxxx .
    MOT*MOT: how big are my toes then ?
    CHIbig .
    MOTpardon ?
  6. eng_british_Manchester_I/gail20a.cha, line 272 · Gail, 2;6.16
    MOTcan you hear this ?
    CHImeasuring your shoes .
    MOT*MOT: how big are they ?
    MOTthey're size six .
    CHIsix .
  7. eng_british_Manchester_I/gail20a.cha, line 286 · Gail, 2;6.16
    INVokay then .
    MOTwhoops .
    INV*INV: how big are mine ?
    CHItwenty .
    INVtwenty .
  8. eng_british_Manchester_I/gail20a.cha, line 338 · Gail, 2;6.16
    MOTdo you need a haircut ?
    CHIyeah .
    MOT*MOT: how do you want your hair ?
    MOTcurly ?
    MOTyeah ?
  9. eng_british_Manchester_I/gail20a.cha, line 463 · Gail, 2;6.16
    MOTokay .
    MOTwww .
    MOT*MOT: how many ?
    CHItwenty .
    MOTtwenty ?
  10. eng_british_Manchester_I/gail20a.cha, line 518 · Gail, 2;6.16
    CHIyeah .
    CHIyour wrist .
    MOT*MOT: how many ?
    CHItwenty .
    MOTno .
  11. eng_british_Manchester_I/gail20a.cha, line 980 · Gail, 2;6.16
    CHIjust arrived .
    CHIjust arrived .
    MOT*MOT: how many (i)s he got ?
    CHIwhoops .
    CHIfell off .
  12. eng_british_Manchester_I/gail20a.cha, line 986 · Gail, 2;6.16
    CHIwhoops .
    CHIfell off .
    MOT*MOT: how many teeth has he got ?
    CHIcoming your lap .
    CHIsit on your lap .
  13. eng_british_Manchester_I/gail20a.cha, line 1306 · Gail, 2;6.16
    MOTit's a sticky .
    MOTaren't they ?
    MOT*MOT: feel how sticky they are ?
    CHIno .
    CHII want to 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. Gail eng_british_Manchester_I9.05
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/gail20a.chaGail 2;6.161,43613139.05

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. how13 · 100.0%