PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

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

  1. giddyup horsy ? MOT · bilingual_eng_Genesee/oli13b11m.cha, line 1075 · Olivier 1;11
  2. giddyup horsy ? MOT · bilingual_eng_Genesee/oli13b11m.cha, line 1077 · Olivier 1;11
  3. there's another horsy . MOT · bilingual_eng_Genesee/oli13b11m.cha, line 1084 · Olivier 1;11
  4. there goes one horsy . MOT · bilingual_eng_Genesee/oli13b11m.cha, line 1183 · Olivier 1;11
  1. MOTit's a horse !
    MOThmm ?
    MOT*MOT: giddyup horsy ?
    MOTgiddyup horsy ?
    CHIuh # yy # uh # yy !
  2. MOThmm ?
    MOTgiddyup horsy ?
    MOT*MOT: giddyup horsy ?
    CHIuh # yy # uh # yy !
    MOTijA@u !
  3. CHIuh # yy # uh # yy !
    MOTijA@u !
    MOT*MOT: there's another horsy .
    MOTthere's two horsies .
    MOThuh ?
  4. CHIxx .
    MOTokay we're gonna [: going to] round them up .
    MOT*MOT: there goes one horsy .
    MOTno no put the fence down .
    MOTput the fence down !

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_Genesee2.71
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_eng_Genesee/oli13b11m.chaOlivier 1;11.151,476442.71

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. horsy4 · 100.0%