PHPCLANCHILDES with regular expressions

8 matches in 7 utterances

5.09 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (512 utterances, 1,572 words searched).

  1. train ? MOT · eng_british_Manchester_I/becky07b.cha, line 905 · Becky 2;02
  2. your train ? MOT · eng_british_Manchester_I/becky07b.cha, line 909 · Becky 2;02
  3. this train do you mean ? MOT · eng_british_Manchester_I/becky07b.cha, line 925 · Becky 2;02
  4. put <the train> [/] the chairs on the back of the train then . MOT · eng_british_Manchester_I/becky07b.cha, line 937 · Becky 2;02
  5. put <the train> [/] the chairs on the back of the train then . MOT · eng_british_Manchester_I/becky07b.cha, line 937 · Becky 2;02
  6. don't you want the penguin driving the train ? MOT · eng_british_Manchester_I/becky07b.cha, line 964 · Becky 2;02
  7. and then the train'll go through the tunnel . MOT · eng_british_Manchester_I/becky07b.cha, line 1024 · Becky 2;02
  8. are they going on the train ? MOT · eng_british_Manchester_I/becky07b.cha, line 1192 · Becky 2;02
  1. MOTKing ?
    CHIa train .
    MOT*MOT: train ?
    CHIyes .
    MOTyour train ?
  2. MOTtrain ?
    CHIyes .
    MOT*MOT: your train ?
    CHIyes .
    MOTthe trains are over here .
  3. MOTthe trains are all here .
    CHIwhere 0is [*] train ?
    MOT*MOT: this train do you mean ?
    CHIchair .
    CHIchairs .
  4. MOTI don't think the xxx .
    CHIxxx .
    MOT*MOT: put <the train> [/] the chairs on the back of the train then .
    CHIokay ?
    MOTput them in there .
  5. CHIno .
    MOToh I'm sorry .
    MOT*MOT: don't you want the penguin driving the train ?
    CHIno .
    CHIxxx .
  6. MOTlike this , look .
    MOTput your leg up like that .
    MOT*MOT: and then the train'll go through the tunnel .
    MOTare you ready ?
    MOTchoo^choo@o .
  7. CHIgo train .
    CHIgo train .
    MOT*MOT: are they going on the train ?
    CHIyeah .
    MOTgood .

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_I5.09
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky07b.chaBecky 2;2.151,572785.09

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. train8 · 100.0%