PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

2.53 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (356 utterances, 1,188 words searched).

  1. (..) ensuite (.) la bleue . 888787_895815 MOT · french/lyon_mar03a.cha, line 914 · Marie 1;01
  2. c'est la bleue ? 1342133_1343123 MOT · french/lyon_mar03a.cha, line 1350 · Marie 1;01
  3. la verte , ensuite la bleue . 1348103_1349822 MOT · french/lyon_mar03a.cha, line 1358 · Marie 1;01
  1. MOTtiens ! 885632_887140
    MOTvoilà . 887140_888787
    MOT*MOT: (..) ensuite (.) la bleue . 888787_895815
    MOT(..) ah .
    MOTtu [?] xxx xxx xxx .
  2. MOTc'est pas la verte ? 1340425_1342133
    CHI+< ‹tiens [?]› !
    MOT*MOT: c'est la bleue ? 1342133_1343123
    MOTmm . 1343123_1346623
    MOTje sais plus .
  3. MOTje sais plus .
    MOTc'est comme ça . 1346623_1348103
    MOT*MOT: la verte , ensuite la bleue . 1348103_1349822
    CHI‹(.) ah› . 1349822_1357207
    CHIyyy . 1357207_1358565

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 french2.53
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_mar03a.chaMarie 1;1.161,188332.53

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. bleue3 · 100.0%