PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

4.82 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (303 utterances, 1,245 words searched).

  1. where was Mike ? MOT · eng_USA_Brown/sarah027.cha, line 292 · Sarah 2;09
  2. where was he ? MOT · eng_USA_Brown/sarah027.cha, line 294 · Sarah 2;09
  3. tell me again # where was Mike ? MOT · eng_USA_Brown/sarah027.cha, line 302 · Sarah 2;09
  4. was he a nice man ? GLO · eng_USA_Brown/sarah027.cha, line 1086 · Sarah 2;09
  5. and who was with you ? MOT · eng_USA_Brown/sarah027.cha, line 1140 · Sarah 2;09
  6. what was the present ? MOT · eng_USA_Brown/sarah027.cha, line 1279 · Sarah 2;09
  1. CHIMichael !
    MOT0 .
    MOT*MOT: where was Mike ?
    MOTwhere was he ?
    CHIon the bed [?] .
  2. MOT0 .
    MOTwhere was Mike ?
    MOT*MOT: where was he ?
    CHIon the bed [?] .
    CHIon the bed .
  3. CHIon the bed .
    MOTright .
    MOT*MOT: tell me again # where was Mike ?
    CHIdere .
    CHIthere .
  4. CHI0 .
    GLOdid you ?
    GLO*GLO: was he a nice man ?
    CHI0 .
    GLOyes ?
  5. CHIa slide .
    MOTon the slide ?
    MOT*MOT: and who was with you ?
    CHIDonna .
    MOTDonna ?
  6. GLOhe hit your elbow !
    MOTno # what did he do ?
    MOT*MOT: what was the present ?
    CHIright here .

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_Brown4.82
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah027.chaSarah 2;9.1,245664.82

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. was6 · 100.0%