PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

2.45 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (360 utterances, 1,225 words searched).

  1. eh ben ! 898902_901547 MOT · french/lyon_ana14a.cha, line 1040 · Anais 1;07
  2. eh pousse ça d(e) là ! 970672_973815 MOT · french/lyon_ana14a.cha, line 1122 · Anais 1;07
  3. eh douc(e)ment Ana ! 1338863_1341028 MOT · french/lyon_ana14a.cha, line 1385 · Anais 1;07
  1. MOToh il est beau c(e) poisson là ! 894190_896665
    MOTtoi qu(i) a fait ce poisson ? 896665_898902
    MOT*MOT: eh ben ! 898902_901547
    CHIyyy .
    CHIcaca . 901547_906635
  2. MOTben qu'est-ce (que) c'est qu(e) ça ? 965545_968203
    CHI‹eh [= ! rie]› . 968203_970672
    MOT*MOT: eh pousse ça d(e) là ! 970672_973815
    MOTpousse ton pied d(e) là ! 973815_975787
    CHIeh ‹eh [= ! rie]› . 975787_982845
  3. CHIyyy . 1301875_1321542
    CHIyyy . 1321542_1326732
    MOT*MOT: eh douc(e)ment Ana ! 1338863_1341028
    MOTtu me l(e) donnes ? 1341028_1355530
    CHInon .

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 french2.45
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_ana14a.chaAnais 1;7.51,225332.45

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. eh3 · 100.0%