PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

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

  1. with two spoons ? MOT · eng_british_Manchester_I/becky10a.cha, line 623 · Becky 2;03
  2. you've got two . MOT · eng_british_Manchester_I/becky10a.cha, line 801 · Becky 2;03
  3. shall I write one two three ? MOT · eng_british_Manchester_I/becky10a.cha, line 1191 · Becky 2;03
  4. one two three . MOT · eng_british_Manchester_I/becky10a.cha, line 1193 · Becky 2;03
  5. one two three . MOT · eng_british_Manchester_I/becky10a.cha, line 1195 · Becky 2;03
  6. one two three . MOT · eng_british_Manchester_I/becky10a.cha, line 1211 · Becky 2;03
  7. one two three four five . MOT · eng_british_Manchester_I/becky10a.cha, line 1241 · Becky 2;03
  8. so you've got two now . MOT · eng_british_Manchester_I/becky10a.cha, line 1269 · Becky 2;03
  1. MOTis he rowing the boat ?
    MOTwhat .
    MOT*MOT: with two spoons ?
    MOTwhoops .
    CHIrow the boat .
  2. MOThow many have you got , Becky ?
    CHIwhere more ?
    MOT*MOT: you've got two .
    MOTthere's one here .
    MOToh it's here , look .
  3. MOTshall I write you some numbers ?
    CHIone two three .
    MOT*MOT: shall I write one two three ?
    MOTone two three .
    MOTone two three .
  4. CHIone two three .
    MOTshall I write one two three ?
    MOT*MOT: one two three .
    MOTone two three .
    CHIwant some more .
  5. MOTshall I write one two three ?
    MOTone two three .
    MOT*MOT: one two three .
    CHIwant some more .
    MOT<more letters> [//] want more numbers ?
  6. MOTwhat comes after three ?
    CHIthree numbers .
    MOT*MOT: one two three .
    MOTwhat's next ?
    CHIfour .
  7. CHIit's five .
    CHInot three .
    MOT*MOT: one two three four five .
    MOTno .
    MOTI don't want black .
  8. MOTand I've got one .
    MOTand you want another one .
    MOT*MOT: so you've got two now .
    MOTand if you have another one then you've got three .
    CHIthree .

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_I6.02
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky10a.chaBecky 2;3.061,329886.02

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. two8 · 100.0%