PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

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

  1. see if you can write the letters underneath . MOT · eng_british_Manchester_I/becky10a.cha, line 1160 · Becky 2;03
  2. because these are letters , aren't they ? MOT · eng_british_Manchester_I/becky10a.cha, line 1180 · Becky 2;03
  3. can you say letters ? MOT · eng_british_Manchester_I/becky10a.cha, line 1183 · Becky 2;03
  4. and letters make words, don't they ? MOT · eng_british_Manchester_I/becky10a.cha, line 1185 · Becky 2;03
  5. <more letters> [//] want more numbers ? MOT · eng_british_Manchester_I/becky10a.cha, line 1199 · Becky 2;03
  1. eng_british_Manchester_I/becky10a.cha, line 1160 · Becky, 2;3.06
    CHIBecky more .
    MOTcan you write that underneath ?
    MOT*MOT: see if you can write the letters underneath .
    MOTor go over the top .
    CHIover the top .
  2. eng_british_Manchester_I/becky10a.cha, line 1180 · Becky, 2;3.06
    CHItop of shapes .
    CHItop of the shapes .
    MOT*MOT: because these are letters , aren't they ?
    MOTcan you say letters ?
    MOTand letters make words, don't they ?
  3. eng_british_Manchester_I/becky10a.cha, line 1183 · Becky, 2;3.06
    CHItop of the shapes .
    MOTbecause these are letters , aren't they ?
    MOT*MOT: can you say letters ?
    MOTand letters make words, don't they ?
    MOTshall I write you some numbers ?
  4. eng_british_Manchester_I/becky10a.cha, line 1185 · Becky, 2;3.06
    MOTbecause these are letters , aren't they ?
    MOTcan you say letters ?
    MOT*MOT: and letters make words, don't they ?
    MOTshall I write you some numbers ?
    CHIone two three .
  5. eng_british_Manchester_I/becky10a.cha, line 1199 · Becky, 2;3.06
    MOTone two three .
    CHIwant some more .
    MOT*MOT: <more letters> [//] want more numbers ?
    MOTwhat comes after three ?
    CHIfive .

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_I3.76
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky10a.chaBecky 2;3.061,329553.76

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. letters5 · 100.0%