PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

2.19 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (195 utterances, 915 words searched).

  1. <catastrophe mademoiselle perd son chausson> [>] . MOT · french/lyon_mar18b.cha, line 249 · Marie 1;11
  2. Mar , elle a un chausson ? 609185_629053 MOT · french/lyon_mar18b.cha, line 648 · Marie 1;11
  1. MOToh . 174653_188668
    MOTc'est une catastrophe . 188668_190748
    MOT*MOT: <catastrophe mademoiselle perd son chausson> [>] .
    CHI<Mar yyy Mar> [<] . 190748_194105
    MOTwww [= ! rit] eh , tu fais exprès . 194105_201948
  2. MOToui ? 600185_609185
    CHIMar un chausson .
    MOT*MOT: Mar , elle a un chausson ? 609185_629053
    MOTMar , elle a deux chaussons ? 629053_636543
    MOTça te pique ?

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 french2.19
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_mar18b.chaMarie 1;11.11915222.19

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. chausson2 · 100.0%