PHPCLANCHILDES with regular expressions

17 matches in 16 utterances

10.21 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (487 utterances, 1,665 words searched).

  1. what else did we see ? MOT · eng_british_Manchester_I/becky24a.cha, line 78 · Becky 2;08
  2. what else did we see ? MOT · eng_british_Manchester_I/becky24a.cha, line 86 · Becky 2;08
  3. we did not see any elephants . MOT · eng_british_Manchester_I/becky24a.cha, line 96 · Becky 2;08
  4. what did we see ? MOT · eng_british_Manchester_I/becky24a.cha, line 98 · Becky 2;08
  5. did you ? INV · eng_british_Manchester_I/becky24a.cha, line 114 · Becky 2;08
  6. did we ? MOT · eng_british_Manchester_I/becky24a.cha, line 129 · Becky 2;08
  7. did we ? MOT · eng_british_Manchester_I/becky24a.cha, line 143 · Becky 2;08
  8. and what else did you make this morning ? MOT · eng_british_Manchester_I/becky24a.cha, line 160 · Becky 2;08
  9. did some coloring , did you ? MOT · eng_british_Manchester_I/becky24a.cha, line 165 · Becky 2;08
  10. did some coloring , did you ? MOT · eng_british_Manchester_I/becky24a.cha, line 165 · Becky 2;08
  11. how did you do that ? MOT · eng_british_Manchester_I/becky24a.cha, line 505 · Becky 2;08
  12. did you know that ? MOT · eng_british_Manchester_I/becky24a.cha, line 1423 · Becky 2;08
  13. did you ? MOT · eng_british_Manchester_I/becky24a.cha, line 1427 · Becky 2;08
  14. what did you say ? MOT · eng_british_Manchester_I/becky24a.cha, line 1472 · Becky 2;08
  15. what did you say ? MOT · eng_british_Manchester_I/becky24a.cha, line 1484 · Becky 2;08
  16. what did you say ? MOT · eng_british_Manchester_I/becky24a.cha, line 1488 · Becky 2;08
  17. what did you have for your lunch ? MOT · eng_british_Manchester_I/becky24a.cha, line 1796 · Becky 2;08
  1. MOTdo you remember seeing them ?
    CHIyeah .
    MOT*MOT: what else did we see ?
    MOT<can you remember> [>] ?
    CHI<don't know> [<] .
  2. CHI<don't know> [<] .
    MOTno .
    MOT*MOT: what else did we see ?
    CHIum elephant .
    MOTpardon ?
  3. CHIan elephant .
    MOTno .
    MOT*MOT: we did not see any elephants .
    MOTwhat did we see ?
    CHII don't know .
  4. MOTno .
    MOTwe did not see any elephants .
    MOT*MOT: what did we see ?
    CHII don't know .
    MOTwe saw some mice , didn't we ?
  5. MOTwe saw some fishys .
    CHIxxx some fishys .
    INV*INV: did you ?
    MOTand some um [/] some guinea+pigs .
    CHIsome guinea+pigs .
  6. MOTI don't think we saw anything else .
    CHIwe [//] yes we did .
    MOT*MOT: did we ?
    CHIwe saw some ducks .
    MOTsome ducks ?
  7. MOTyesterday ?
    CHIyeah .
    MOT*MOT: did we ?
    CHIyeah .
    MOTwhere were the ducks ?
  8. MOTnot yesterday we didn't .
    INVwww .
    MOT*MOT: and what else did you make this morning ?
    CHII don't know .
    MOTdid some coloring , did you ?
  9. MOTand what else did you make this morning ?
    CHII don't know .
    MOT*MOT: did some coloring , did you ?
    MOT<do you> [/] do you want to get those people again and we can have a look at the book ?
    MOTget your sticky people .
  10. MOTyou've hurt your toe ?
    CHIyes .
    MOT*MOT: how did you do that ?
    CHIbecause I did .
    INVxxx .
  11. MOTwe haven't got any lollipops , Becky .
    MOTanyway lollipops make your teeth fall out .
    MOT*MOT: did you know that ?
    CHIyeah .
    MOTdid you ?
  12. MOTdid you know that ?
    CHIyeah .
    MOT*MOT: did you ?
    CHIyeah .
    MOTwho told you that ?
  13. CHIgive it back .
    MOTthat wasn't what you said .
    MOT*MOT: what did you say ?
    CHII said um +...
    MOTgive it plasters or something .
  14. CHIthat didn't I say that .
    MOToh .
    MOT*MOT: what did you say ?
    CHII said say xxx .
    MOTwhat did you say ?
  15. MOTwhat did you say ?
    CHII said say xxx .
    MOT*MOT: what did you say ?
    CHII said [/] I said +...
    MOTyou can't remember , can you ?
  16. CHIno .
    MOTsmells like you have .
    MOT*MOT: what did you have for your lunch ?
    CHIdon't know .
    MOTyou don't know .

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_I10.21
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky24a.chaBecky 2;8.021,665161710.21

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. did17 · 100.0%