PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

3.33 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (457 utterances, 1,502 words searched).

  1. thank you . MOT · eng_british_Manchester_I/becky01b.cha, line 843 · Becky 2;00
  2. thank you . MOT · eng_british_Manchester_I/becky01b.cha, line 1058 · Becky 2;00
  3. thank you . INV · eng_british_Manchester_I/becky01b.cha, line 1063 · Becky 2;00
  4. thank you . INV · eng_british_Manchester_I/becky01b.cha, line 1788 · Becky 2;00
  5. thank you . MOT · eng_british_Manchester_I/becky01b.cha, line 1795 · Becky 2;00
  1. CHIone ?
    MOTdo I want one ?
    MOT*MOT: thank you .
    MOTit's nice .
    CHItop .
  2. CHIxxx .
    MOToh .
    MOT*MOT: thank you .
    CHIwant ?
    INVthank you .
  3. MOTthank you .
    CHIwant ?
    INV*INV: thank you .
    MOTand some fish .
    CHIyeah .
  4. MOTit's what ?
    CHIhere you go .
    INV*INV: thank you .
    INVanother egg .
    MOTmmhm .
  5. INVanother egg .
    MOTmmhm .
    MOT*MOT: thank you .
    MOToh .
    MOTyou don't eat eggs like that .

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_I3.33
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky01b.chaBecky 2;0.071,502553.33

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. thank5 · 100.0%