PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

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

  1. shall I write your name ? MOT · eng_british_Manchester_I/becky10a.cha, line 1115 · Becky 2;03
  2. you want me to write your name again ? MOT · eng_british_Manchester_I/becky10a.cha, line 1310 · Becky 2;03
  3. and what's your second name ? MOT · eng_british_Manchester_I/becky10a.cha, line 1337 · Becky 2;03
  4. and it's name is +... MOT · eng_british_Manchester_I/becky10a.cha, line 1356 · Becky 2;03
  1. eng_british_Manchester_I/becky10a.cha, line 1115 · Becky, 2;3.06
    CHIleft .
    CHIright .
    MOT*MOT: shall I write your name ?
    CHIyeah .
    MOTthese crayons are very small .
  2. eng_british_Manchester_I/becky10a.cha, line 1310 · Becky, 2;3.06
    CHIwrite us a name .
    CHIwrite us a name again .
    MOT*MOT: you want me to write your name again ?
    CHIyeah .
    CHIwakie+wakie .
  3. eng_british_Manchester_I/becky10a.cha, line 1337 · Becky, 2;3.06
    MOTBecky .
    CHIBecky .
    MOT*MOT: and what's your second name ?
    CHII don't know .
    MOTyou don't know ?
  4. eng_british_Manchester_I/becky10a.cha, line 1356 · Becky, 2;3.06
    MOTit's a baby .
    MOTit's a baby .
    MOT*MOT: and it's name is +...
    CHI++ Becky Kate .
    MOTBecky Kate .

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_I3.01
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky10a.chaBecky 2;3.061,329443.01

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. name4 · 100.0%