PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

2.65 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (319 utterances, 1,131 words searched).

  1. thank you . MOT · eng_british_Manchester_I/becky33b.cha, line 369 · Becky 2;11
  2. thank you . MOT · eng_british_Manchester_I/becky33b.cha, line 899 · Becky 2;11
  3. thank you , Becky . MOT · eng_british_Manchester_I/becky33b.cha, line 1409 · Becky 2;11
  1. eng_british_Manchester_I/becky33b.cha, line 369 · Becky, 2;11.08
    CHIhere .
    CHIhere's a +/.
    MOT*MOT: thank you .
    CHIhe's your friend .
    CHIhe's [/] he's your friend .
  2. eng_british_Manchester_I/becky33b.cha, line 899 · Becky, 2;11.08
    MOThere you are .
    CHIhere you are .
    MOT*MOT: thank you .
    INVthink you should have a discount for all the nibbles .
    MOTyes .
  3. eng_british_Manchester_I/becky33b.cha, line 1409 · Becky, 2;11.08
    MOTwhat's goes in next .
    CHII'm helping you , Mummy .
    MOT*MOT: thank you , Becky .
    MOTyou're very [/] very helpful .
    CHII'm very helpful .

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_I2.65
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky33b.chaBecky 2;11.081,131332.65

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. thank3 · 100.0%