PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

2.47 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (416 utterances, 1,217 words searched).

  1. you like him ? MOT · eng_british_Manchester_I/becky15a.cha, line 24 · Becky 2;05
  2. is that like a plaster for Sukie ? MOT · eng_british_Manchester_I/becky15a.cha, line 362 · Becky 2;05
  3. like a circus ? MOT · eng_british_Manchester_I/becky15a.cha, line 955 · Becky 2;05
  1. eng_british_Manchester_I/becky15a.cha, line 24 · Becky, 2;5.01
    MOTwhat're you doing , Becky ?
    CHII like him .
    MOT*MOT: you like him ?
    MOTyes .
    MOTI'm not sure if he likes you .
  2. eng_british_Manchester_I/becky15a.cha, line 362 · Becky, 2;5.01
    CHIthere you are .
    INVwww .
    MOT*MOT: is that like a plaster for Sukie ?
    CHIyeah .
    MOTxxx .
  3. eng_british_Manchester_I/becky15a.cha, line 955 · Becky, 2;5.01
    CHIthese 0are [*] like a clown .
    CHIthese 0are [*] like a circus .
    MOT*MOT: like a circus ?
    CHIthese 0are [*] like a clown .
    MOT<a clown> [>] .

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_I2.47
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky15a.chaBecky 2;5.011,217332.47

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. like3 · 100.0%