PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

4.51 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (330 utterances, 1,329 words searched).

  1. shall I find the spoons . MOT · eng_british_Manchester_I/becky10a.cha, line 497 · Becky 2;03
  2. here're all the spoons . MOT · eng_british_Manchester_I/becky10a.cha, line 507 · Becky 2;03
  3. how many spoons have you got there , Becky ? MOT · eng_british_Manchester_I/becky10a.cha, line 537 · Becky 2;03
  4. can you count four spoons . MOT · eng_british_Manchester_I/becky10a.cha, line 548 · Becky 2;03
  5. with two spoons ? MOT · eng_british_Manchester_I/becky10a.cha, line 623 · Becky 2;03
  6. how many spoons have you got ? MOT · eng_british_Manchester_I/becky10a.cha, line 791 · Becky 2;03
  1. eng_british_Manchester_I/becky10a.cha, line 497 · Becky, 2;3.06
    MOTokay .
    MOTthank you .
    MOT*MOT: shall I find the spoons .
    MOTa little jug there .
    CHImore .
  2. eng_british_Manchester_I/becky10a.cha, line 507 · Becky, 2;3.06
    CHImore .
    MOThere you are .
    MOT*MOT: here're all the spoons .
    CHIwhere 0is [*] Sukie ?
    MOTthink he's having a look what's in there .
  3. eng_british_Manchester_I/becky10a.cha, line 537 · Becky, 2;3.06
    CHIall of those .
    CHIthose there .
    MOT*MOT: how many spoons have you got there , Becky ?
    CHIone two five four .
    MOTno .
  4. eng_british_Manchester_I/becky10a.cha, line 548 · Becky, 2;3.06
    MOTwell .
    MOTyou have got four .
    MOT*MOT: can you count four spoons .
    CHItwo .
    CHIfive xxx .
  5. eng_british_Manchester_I/becky10a.cha, line 623 · Becky, 2;3.06
    MOTis he rowing the boat ?
    MOTwhat .
    MOT*MOT: with two spoons ?
    MOTwhoops .
    CHIrow the boat .
  6. eng_british_Manchester_I/becky10a.cha, line 791 · Becky, 2;3.06
    MOTmore ?
    CHIwhere 0are [*] more spoons ?
    MOT*MOT: how many spoons have you got ?
    CHIwhere 0are [*] more ?
    MOTwell .

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_I4.51
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky10a.chaBecky 2;3.061,329664.51

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. spoons6 · 100.0%