PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

2.99 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (323 utterances, 1,004 words searched).

  1. roast beef . MOT · eng_USA_Brown/sarah064.cha, line 1059 · Sarah 3;06
  2. what else ya goin(g) to have besides roast beef ? MOT · eng_USA_Brown/sarah064.cha, line 1067 · Sarah 3;06
  3. roast beef and what ? MOT · eng_USA_Brown/sarah064.cha, line 1070 · Sarah 3;06
  1. eng_USA_Brown/sarah064.cha, line 1059 · Sarah, 3;6.06
    MOTwho ya going to have for supper ?
    CHII gonna have roast beef .
    MOT*MOT: roast beef .
    MOTya can't today's Friday .
    CHII cook easy .
  2. eng_USA_Brown/sarah064.cha, line 1067 · Sarah, 3;6.06
    CHII cook easy .
    MOTyou do ?
    MOT*MOT: what else ya goin(g) to have besides roast beef ?
    MOTroast beef and what ?
    CHIroast beef # (a)n(d) alten@c .
  3. eng_USA_Brown/sarah064.cha, line 1070 · Sarah, 3;6.06
    MOTyou do ?
    MOTwhat else ya goin(g) to have besides roast beef ?
    MOT*MOT: roast beef and what ?
    CHIroast beef # (a)n(d) alten@c .
    MOTa what ?

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. Sarah eng_USA_Brown2.99
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah064.chaSarah 3;6.061,004332.99

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. roast3 · 100.0%