PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

3.42 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (296 utterances, 877 words searched).

  1. allez , donne le bib(e)ron au bébé . MOT · french/lyon_ana02a.cha, line 923 · Anais 1;00
  2. donne lui son bib(e)ron: ! MOT · french/lyon_ana02a.cha, line 1148 · Anais 1;00
  3. donne lui l(e) bib(e)ron ! 1600578_1602818 MOT · french/lyon_ana02a.cha, line 1153 · Anais 1;00
  1. MOTtu donnes le bib(e)ron ? 1228915_1230753
    MOTviens là . 1230757_1234420
    MOT*MOT: allez , donne le bib(e)ron au bébé .
    MOTouais: elle a soif ? 1234420_1237500
    MOTxxx . 1237512_1241665
  2. CHI‹yyy [= ! en inspirant]› . 1590367_1600578
    MOTouais !
    MOT*MOT: donne lui son bib(e)ron: !
    MOTtu vois elle a faim .
    MOTdonne lui l(e) bib(e)ron ! 1600578_1602818
  3. MOTdonne lui son bib(e)ron: !
    MOTtu vois elle a faim .
    MOT*MOT: donne lui l(e) bib(e)ron ! 1600578_1602818
    CHIyyy . 1602818_1609723
    MOTbon .

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. Anais french3.42
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_ana02a.chaAnais 1;0.23877333.42

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%