PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

2.94 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (523 utterances, 2,040 words searched).

  1. can I make a bridge ? MOT · eng_british_Manchester_I/anne24b.cha, line 147 · Anne 2;06
  2. we wouldn't make # construction engineers . MOT · eng_british_Manchester_I/anne24b.cha, line 510 · Anne 2;06
  3. make it a bit bigger . MOT · eng_british_Manchester_I/anne24b.cha, line 518 · Anne 2;06
  4. shall we make him a field ? MOT · eng_british_Manchester_I/anne24b.cha, line 798 · Anne 2;06
  5. how are we gonna [: going to] make him a field then ? MOT · eng_british_Manchester_I/anne24b.cha, line 808 · Anne 2;06
  6. make one for the tigers as well . MOT · eng_british_Manchester_I/anne24b.cha, line 813 · Anne 2;06
  1. MOTthink you'll be able to fit one in there .
    MOTwww .
    MOT*MOT: can I make a bridge ?
    MOToh thank you .
    MOTcan I have some more ?
  2. MOTwhoops .
    MOTit's not a very sturdy one .
    MOT*MOT: we wouldn't make # construction engineers .
    CHIoh no .
    MOToh .
  3. MOToh .
    MOTtoo small .
    MOT*MOT: make it a bit bigger .
    MOThang on .
    MOTI think we've got some dynamic problems , Anne .
  4. CHIoh no dear .
    MOTthis horse is happy because he's found his Mummy .
    MOT*MOT: shall we make him a field ?
    CHIyeah .
    CHIyeah .
  5. MOTokay .
    CHIand [/] and these .
    MOT*MOT: how are we gonna [: going to] make him a field then ?
    CHImake [/] make one for the tigers as well .
    MOTmake one for the tigers as well .
  6. MOThow are we gonna [: going to] make him a field then ?
    CHImake [/] make one for the tigers as well .
    MOT*MOT: make one for the tigers as well .
    MOTI think we'll have a green field for the horses .
    MOTjust made of green bricks .

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. Anne eng_british_Manchester_I2.94
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/anne24b.chaAnne 2;6.042,040662.94

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. make6 · 100.0%