PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

3.39 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (424 utterances, 1,476 words searched).

  1. a cow ? MOT · bilingual_eng_Genesee/oli13b11m.cha, line 1045 · Olivier 1;11
  2. no, a cow says moo ! MOT · bilingual_eng_Genesee/oli13b11m.cha, line 1050 · Olivier 1;11
  3. does a cow say moo ? MOT · bilingual_eng_Genesee/oli13b11m.cha, line 1054 · Olivier 1;11
  4. a cow ! MOT · bilingual_eng_Genesee/oli13b11m.cha, line 1059 · Olivier 1;11
  5. is this a cow ? MOT · bilingual_eng_Genesee/oli13b11m.cha, line 1061 · Olivier 1;11
  1. MOToh what's this ?
    CHIoh # yy # yy .
    MOT*MOT: a cow ?
    CHImeowmeowmeow !
    MOTno, a cow says moo !
  2. MOTa cow ?
    CHImeowmeowmeow !
    MOT*MOT: no, a cow says moo !
    EXP0.
    MOTdoes a cow say moo ?
  3. MOTno, a cow says moo !
    EXP0.
    MOT*MOT: does a cow say moo ?
    CHImoo !
    MOTa cow !
  4. MOTdoes a cow say moo ?
    CHImoo !
    MOT*MOT: a cow !
    MOTis this a cow ?
    MOTthis is a calf .
  5. CHImoo !
    MOTa cow !
    MOT*MOT: is this a cow ?
    MOTthis is a calf .
    MOT0.

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. Olivier bilingual_eng_Genesee3.39
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_eng_Genesee/oli13b11m.chaOlivier 1;11.151,476553.39

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. cow5 · 100.0%