PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

2.68 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (659 utterances, 2,240 words searched).

  1. thank you . INV · eng_british_Manchester_I/domin16b.cha, line 1545 · Dominic 2;04
  2. thank you . INV · eng_british_Manchester_I/domin16b.cha, line 1558 · Dominic 2;04
  3. thank you . INV · eng_british_Manchester_I/domin16b.cha, line 1563 · Dominic 2;04
  4. thank you . INV · eng_british_Manchester_I/domin16b.cha, line 1568 · Dominic 2;04
  5. thank you . INV · eng_british_Manchester_I/domin16b.cha, line 1609 · Dominic 2;04
  6. thank you . MOT · eng_british_Manchester_I/domin16b.cha, line 1734 · Dominic 2;04
  1. CHIxxx .
    MOTwhat were you were [= actually says was] you gonna [: going to] do with the orange ?
    INV*INV: thank you .
    CHIthat &a Caroline('s) [* 0s] orange .
    MOTbut what were [= actually says was] you gonna [: going to] do with it before then ?
  2. MOTyou were [= actually says was] going to throw it , weren't you ?
    MOTbe careful .
    INV*INV: thank you .
    INVwww .
    INVthank you .
  3. INVthank you .
    INVwww .
    INV*INV: thank you .
    MOTwww .
    INVthank you .
  4. INVthank you .
    MOTwww .
    INV*INV: thank you .
    MOTwww .
    MOTwhat 0are [*] you doing ?
  5. MOTI don't like cheese .
    MOTnot unless it's cooked into something .
    INV*INV: thank you .
    MOTwww .
    MOTwhy don't you put them in the box , Dominic ?
  6. MOTMummy don't want car .
    MOTokay .
    MOT*MOT: thank you .
    CHIMummy want car .
    MOTMummy doesn't want car .

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. Dominic eng_british_Manchester_I2.68
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/domin16b.chaDominic 2;4.042,240662.68

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. thank6 · 100.0%