PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

5.25 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (454 utterances, 1,524 words searched).

  1. me ? INV · eng_british_Manchester_I/becky26a.cha, line 86 · Becky 2;08
  2. <do you want me to write Monday> [>] ? INV · eng_british_Manchester_I/becky26a.cha, line 142 · Becky 2;08
  3. do you want me to write Monday ? INV · eng_british_Manchester_I/becky26a.cha, line 160 · Becky 2;08
  4. shall you count them for me ? MOT · eng_british_Manchester_I/becky26a.cha, line 253 · Becky 2;08
  5. you helped me to make some . MOT · eng_british_Manchester_I/becky26a.cha, line 411 · Becky 2;08
  6. just tell me . INV · eng_british_Manchester_I/becky26a.cha, line 1033 · Becky 2;08
  7. goodness me . MOT · eng_british_Manchester_I/becky26a.cha, line 1498 · Becky 2;08
  8. do you want me to move ? INV · eng_british_Manchester_I/becky26a.cha, line 1604 · Becky 2;08
  1. MOToh .
    CHIwhy did you come ?
    INV*INV: me ?
    CHIyeah .
    INVto see you .
  2. INVwrite Monday ?
    INVyeah ?
    INV*INV: <do you want me to write Monday> [>] ?
    MOT<don't bite that , Becky> [<] .
    INVwhere shall I write Monday ?
  3. MOTshall she write it in your book for you ?
    MOTdon't break that .
    INV*INV: do you want me to write Monday ?
    CHIyeah .
    INVright .
  4. MOTno .
    MOTyou'll have four now .
    MOT*MOT: shall you count them for me ?
    CHIone two three four five .
    MOTno .
  5. MOTyou made some biscuits , didn't you , Becky over Easter ?
    MOTwell .
    MOT*MOT: you helped me to make some .
    MOTdo you remember ?
    CHIyeah .
  6. INVcan you +//.
    INVwell .
    INV*INV: just tell me .
    MOTxxx .
    MOTtell us what happened .
  7. CHIyeah .
    MOTthank you .
    MOT*MOT: goodness me .
    MOTwhat a lot I've got to eat .
    MOTI'm a bit full now .
  8. CHIyes .
    CHIwhy 0are [*] you sitting there ?
    INV*INV: do you want me to move ?
    MOTno , Becky .
    MOTlet Caroline sit there .

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_I5.25
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky26a.chaBecky 2;8.301,524885.25

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. me8 · 100.0%