PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

2.32 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (310 utterances, 1,293 words searched).

  1. comment xxx est ? 381905_383788 MOT · french/lyon_mar30b.cha, line 559 · Marie 2;08
  2. (.) comment tu vois qu'i(l) dort ? MOT · french/lyon_mar30b.cha, line 710 · Marie 2;08
  3. tu nages (.) comment ? MOT · french/lyon_mar30b.cha, line 1810 · Marie 2;08
  1. CHI‹bientôt [= ! chante voix basse]› .
    MOTet puis celle-ci ?
    MOT*MOT: comment xxx est ? 381905_383788
    MOTc'est quoi ?
    MOTwww [= ! chante] . 383788_387357
  2. CHI‹(.) oh› dort . 501825_507785
    MOT(..) xxx xxx . 507785_514095
    MOT*MOT: (.) comment tu vois qu'i(l) dort ?
    CHItu vois là . 514095_516810
    CHIvois là .
  3. MOTah oui . 1268262_1270275
    MOTet tu nages des fois +... 1270275_1273062
    MOT*MOT: tu nages (.) comment ?
    CHInage sur le dos . 1273062_1275317
    MOThein , sur le dos: . 1275317_1278342

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 french2.32
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_mar30b.chaMarie 2;8.141,293332.32

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. comment3 · 100.0%