PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

3.30 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (327 utterances, 909 words searched).

  1. p(e)tit bébé . 360577_362837 MOT · french/lyon_nat06a.cha, line 392 · Nathan 1;02
  2. pas tout d(e) suite mon bébé . 1098467_1100515 MOT · french/lyon_nat06a.cha, line 689 · Nathan 1;02
  3. éh , ça peut pas marcher comme ça bébé . 1658200_1661673 MOT · french/lyon_nat06a.cha, line 1236 · Nathan 1;02
  1. MOTnon mais dis_don(c) ! 357948_359540
    MOTéh . 359540_360577
    MOT*MOT: p(e)tit bébé . 360577_362837
    MOTNanou . 362837_363703
    MOTtu veux bien en laisser un peu dans l(e) placard quand_même . 363703_367193
  2. MOTviens là mon Nanou !
    CHIwww [= ! grogne] .
    MOT*MOT: pas tout d(e) suite mon bébé . 1098467_1100515
    CHI+< yyy .
    MOTnon . 1100515_1101662
  3. MOTaïe .
    MOT&ouille &ouille &ouille . 1621755_1658200
    MOT*MOT: éh , ça peut pas marcher comme ça bébé . 1658200_1661673
    CHIwww [= ! pleurniche] .
    MOThop . 1661673_1685520

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. Nathan french3.30
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_nat06a.chaNathan 1;2.26909333.30

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. bébé3 · 100.0%