PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

5.57 per 1,000 words of the child (CHI), in 1 of 1 transcripts (407 utterances, 539 words searched).

  1. un ‹petit (.)› une dame . 487705_489858 CHI · french/lyon_mar19a.cha, line 1040 · Marie 1;11
  2. yyy dame . 1172256_1174378 CHI · french/lyon_mar19a.cha, line 2238 · Marie 1;11
  3. yyy dame . 1174375_1176258 CHI · french/lyon_mar19a.cha, line 2243 · Marie 1;11
  1. MOTgros . 486395_487078
    CHIyyy . 487078_487706
    CHI*CHI: un ‹petit (.)› une dame . 487705_489858
    MOTc'est une dame ? 489855_490998
    CHIoui . 490995_491438
  2. MOTah . 1158300_1158698
    MOTle plus gros dans l(e) plus p(e)tit . 1158698_1160258
    CHI*CHI: yyy dame . 1172256_1174378
    CHIyyy dame . 1174375_1176258
    CHI‹(.) ah› yyy . 1176255_1178075
  3. MOTle plus gros dans l(e) plus p(e)tit . 1158698_1160258
    CHIyyy dame . 1172256_1174378
    CHI*CHI: yyy dame . 1174375_1176258
    CHI‹(.) ah› yyy . 1176255_1178075
    CHIoh ça . 1178075_1180138

Matches by age

One dot per transcript: matches per 1,000 words of the child (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 french5.57
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_mar19a.chaMarie 1;11.25539335.57

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. dame3 · 100.0%