PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

2.39 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (351 utterances, 1,255 words searched).

  1. can we make a really long +//. MOT · eng_british_Manchester_I/becky22b.cha, line 303 · Becky 2;07
  2. need a really long piece to go over the top . MOT · eng_british_Manchester_I/becky22b.cha, line 315 · Becky 2;07
  3. you've got a long piece , have you ? MOT · eng_british_Manchester_I/becky22b.cha, line 320 · Becky 2;07
  1. eng_british_Manchester_I/becky22b.cha, line 303 · Becky, 2;7.09
    CHImmhm .
    CHIcan make a real .
    MOT*MOT: can we make a really long +//.
    MOTcan you pass me +//.
    MOToh .
  2. eng_british_Manchester_I/becky22b.cha, line 315 · Becky, 2;7.09
    MOThang on .
    CHIxxx .
    MOT*MOT: need a really long piece to go over the top .
    CHIa long piece here .
    MOTyou've got a long piece , have you ?
  3. eng_british_Manchester_I/becky22b.cha, line 320 · Becky, 2;7.09
    MOTneed a really long piece to go over the top .
    CHIa long piece here .
    MOT*MOT: you've got a long piece , have you ?
    CHIxxx .
    MOTwhat've you got 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_I2.39
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky22b.chaBecky 2;7.091,255332.39

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. long3 · 100.0%