PHPCLANCHILDES with regular expressions

9 matches in 9 utterances

5.41 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. I see . MOT · eng_british_Manchester_I/becky24a.cha, line 630 · Becky 2;08
  6. I can't see anything there . MOT · eng_british_Manchester_I/becky24a.cha, line 735 · Becky 2;08
  7. can you see them ? MOT · eng_british_Manchester_I/becky24a.cha, line 938 · Becky 2;08
  8. can you see them ? MOT · eng_british_Manchester_I/becky24a.cha, line 942 · Becky 2;08
  9. see . MOT · eng_british_Manchester_I/becky24a.cha, line 1338 · 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. MOTand then it will go .
    MOToh .
    MOT*MOT: I see .
    MOTwell .
    MOTI don't have a key , do I to wind it with .
  6. CHIno .
    CHIthere .
    MOT*MOT: I can't see anything there .
    MOTI think you'll live .
    CHIxx .
  7. MOTno .
    MOTthe daffodils are over there , look , aren't they ?
    MOT*MOT: can you see them ?
    CHIwhere [/] where's daffodils ?
    MOTcan you see them ?
  8. MOTcan you see them ?
    CHIwhere [/] where's daffodils ?
    MOT*MOT: can you see them ?
    CHIhere .
    CHIthey just here .
  9. CHIcan you help me .
    CHIxxx .
    MOT*MOT: see .
    MOTyour nose isn't big enough , is it for it .
    CHIno .

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_I5.41
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky24a.chaBecky 2;8.021,665995.41

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. see9 · 100.0%