PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

2.23 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (360 utterances, 1,343 words searched).

  1. eh qui c'est qu(e) t(u) es allé chercher ? 1106023_1109772 MOT · french/lyon_tim05a.cha, line 820 · Tim 1;01
  2. t(u) étais allé chercher Lulu ! MOT · french/lyon_tim05a.cha, line 825 · Tim 1;01
  3. <t(u) avais> [//] t(u) étais allé chercher Lulu ? 1118255_1120053 MOT · french/lyon_tim05a.cha, line 847 · Tim 1;01
  1. MOTviens ! 1096007_1097845
    CHIyyy . 1097845_1106023
    MOT*MOT: eh qui c'est qu(e) t(u) es allé chercher ? 1106023_1109772
    CHI+< www [= ! rie] .
    MOTt(u) étais allé chercher Lulu !
  2. MOTeh qui c'est qu(e) t(u) es allé chercher ? 1106023_1109772
    CHI+< www [= ! rie] .
    MOT*MOT: t(u) étais allé chercher Lulu !
    VAL+< coucou !
    MOToù est-c(e) qu'il est Lulu ? 1109772_1111347
  3. MOThein ? 1115968_1118255
    CHILulu .
    MOT*MOT: <t(u) avais> [//] t(u) étais allé chercher Lulu ? 1118255_1120053
    MOTi(l) dit Loulou xxx . 1120053_1124817
    CHIyyy .

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. Tim french2.23
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_tim05a.chaTim 1;1.241,343332.23

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. chercher3 · 100.0%