PHPCLANCHILDES with regular expressions

17 matches in 17 utterances

6.33 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (597 utterances, 2,687 words searched).

  1. can you say zip ? MOT · eng_british_Manchester_II/ruth20a.cha, line 47 · Ruth 2;05
  2. can you say Mary ? MOT · eng_british_Manchester_II/ruth20a.cha, line 185 · Ruth 2;05
  3. say please . MOT · eng_british_Manchester_II/ruth20a.cha, line 643 · Ruth 2;05
  4. what does that say ? MOT · eng_british_Manchester_II/ruth20a.cha, line 834 · Ruth 2;05
  5. and what does Daddy say ? MOT · eng_british_Manchester_II/ruth20a.cha, line 900 · Ruth 2;05
  6. what does Grandpa say ? MOT · eng_british_Manchester_II/ruth20a.cha, line 928 · Ruth 2;05
  7. but what does Daddy say ? MOT · eng_british_Manchester_II/ruth20a.cha, line 934 · Ruth 2;05
  8. but why does Daddy say no ? MOT · eng_british_Manchester_II/ruth20a.cha, line 938 · Ruth 2;05
  9. what does that say ? MOT · eng_british_Manchester_II/ruth20a.cha, line 947 · Ruth 2;05
  10. what's Mum say ? MOT · eng_british_Manchester_II/ruth20a.cha, line 1129 · Ruth 2;05
  11. and what does Daddy say ? MOT · eng_british_Manchester_II/ruth20a.cha, line 1149 · Ruth 2;05
  12. what did Dad say ? MOT · eng_british_Manchester_II/ruth20a.cha, line 1351 · Ruth 2;05
  13. now what did Liza say ? MOT · eng_british_Manchester_II/ruth20a.cha, line 1368 · Ruth 2;05
  14. what did she say ? MOT · eng_british_Manchester_II/ruth20a.cha, line 1374 · Ruth 2;05
  15. do you want to say hello to Ears ? MOT · eng_british_Manchester_II/ruth20a.cha, line 1785 · Ruth 2;05
  16. say hello . MOT · eng_british_Manchester_II/ruth20a.cha, line 1791 · Ruth 2;05
  17. can you say dirty ? MOT · eng_british_Manchester_II/ruth20a.cha, line 1828 · Ruth 2;05
  1. CHIbite .
    MOTzip .
    MOT*MOT: can you say zip ?
    MOTAnna sees you like this too many times , doesn't she ?
    MOTtoo many times .
  2. MOTthat's right .
    MOTRuth_Mary .
    MOT*MOT: can you say Mary ?
    CHIMary .
    MOTand she went on holidays with her Mummy and her Daddy .
  3. CHIno , me there .
    MOTokay [/] okay .
    MOT*MOT: say please .
    CHIplease .
    MOTthere you go .
  4. MOTright .
    MOTshall we have this ?
    MOT*MOT: what does that say ?
    CHILiza [*] picnic .
    MOTthat's right .
  5. CHI++ over there .
    MOTover there .
    MOT*MOT: and what does Daddy say ?
    CHIno [/] no .
    MOTwe'll +...
  6. MOTthat's right .
    MOTand Grandpa said +//.
    MOT*MOT: what does Grandpa say ?
    CHIstop .
    MOTstop .
  7. CHIstop .
    MOTstop .
    MOT*MOT: but what does Daddy say ?
    CHIno [/] no .
    MOTbut why does Daddy say no ?
  8. MOTbut what does Daddy say ?
    CHIno [/] no .
    MOT*MOT: but why does Daddy say no ?
    CHIno room park .
    MOTnowhere to park said Dad and he drove on .
  9. MOTnowhere to park said Dad and he drove on .
    MOTthat's more like it said Dad .
    MOT*MOT: what does that say ?
    MOTevery +...
    CHIxxx out .
  10. MOTgood .
    MOTthey're +//.
    MOT*MOT: what's Mum say ?
    MOTthey're perfect said Mum .
    MOTone for you and one for +...
  11. MOTme please said Liza .
    CHIme .
    MOT*MOT: and what does Daddy say ?
    CHIno .
    MOTDaddy says save some for me .
  12. CHIsock on baba .
    MOTcome on said Dad .
    MOT*MOT: what did Dad say ?
    MOTback +...
    CHI++ the car .
  13. MOTokay .
    MOTMummy put this on ?
    MOT*MOT: now what did Liza say ?
    MOTdid Liza enjoy her picnic ?
    CHImmhm .
  14. MOTdid Liza enjoy her picnic ?
    CHImmhm .
    MOT*MOT: what did she say ?
    MOTthat was +...
    CHI++ fun .
  15. MOTwww .
    CHIme [*] see baba mouse .
    MOT*MOT: do you want to say hello to Ears ?
    CHImmhm .
    MOTthere .
  16. CHImmhm .
    MOTthere .
    MOT*MOT: say hello .
    MOTthey kissed .
    CHIhuh ?
  17. CHIMama mouse .
    MOTRuth .
    MOT*MOT: can you say dirty ?
    CHIdirty .
    MOTdirty .

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. Ruth eng_british_Manchester_II6.33
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/ruth20a.chaRuth 2;5.272,68717176.33

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. say17 · 100.0%