PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

2.46 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (309 utterances, 1,219 words searched).

  1. <on lui donne> [<] du cacao ? MOT · french/lyon_mar19b.cha, line 1332 · Marie 1;11
  2. (.) je le donne au bébé ? 1322430_1325878 MOT · french/lyon_mar19b.cha, line 1757 · Marie 1;11
  3. <ah ben> [<] tiens j(e) t'en donne un peu , tiens . MOT · french/lyon_mar19b.cha, line 2021 · Marie 1;11
  1. CHIy tiens . 885070_886350
    CHI‹manger [>]› . 886350_888903
    MOT*MOT: <on lui donne> [<] du cacao ?
    CHIyyy donne du cacao . 892558_894830
    MOTouais . 894830_895676
  2. CHIyyy . 1304795_1308018
    CHItiens . 1320958_1322433
    MOT*MOT: (.) je le donne au bébé ? 1322430_1325878
    CHI‹yyy [= ! gémit]› .
    CHIoui . 1325875_1326878
  3. MOTtu en veux aussi ?
    CHI‹oui [>]› . 1498195_1500391
    MOT*MOT: <ah ben> [<] tiens j(e) t'en donne un peu , tiens .
    CHInon . 1500390_1501385
    CHIveut carottes ‹Mar [>]› . 1501385_1505268

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. Marie french2.46
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_mar19b.chaMarie 1;11.251,219332.46

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. donne3 · 100.0%