PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

1.93 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (396 utterances, 1,558 words searched).

  1. t(u) as deux micros . 16320_18560 MOT · french/lyon_mar19a.cha, line 49 · Marie 1;11
  2. (.) deux . MOT · french/lyon_mar19a.cha, line 746 · Marie 1;11
  3. t(u) appuies sur les deux en même temps . 1570335_1573358 MOT · french/lyon_mar19a.cha, line 2811 · Marie 1;11
  1. MOToh oui . 12625_14435
    CHI‹même (.)› yyy même là . 14435_16320
    MOT*MOT: t(u) as deux micros . 16320_18560
    MOTi(l) t(e) gène là l(e) micro ?
    MOTj(e) vais te l(e) mettre moins [/] moins près là quand_même hein . 18560_21238
  2. CHIdeux . 340815_343400
    MOTun . 343400_344113
    MOT*MOT: (.) deux .
    MOT(.) trois . 347358_351038
    MOT(.) quatre . 351038_353435
  3. CHIlà ? 1568955_1570336
    MOTça va pas marcher non plus .
    MOT*MOT: t(u) appuies sur les deux en même temps . 1570335_1573358
    CHIle vert . 1573358_1574218
    MOTvoilà . 1574215_1575156

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 french1.93
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_mar19a.chaMarie 1;11.251,558331.93

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. deux3 · 100.0%