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. tu donnes ? 803577_807252 MOT · french/lyon_tim05a.cha, line 577 · Tim 1;01
  2. tu lui donnes ? MOT · french/lyon_tim05a.cha, line 584 · Tim 1;01
  3. tu m(e) le donnes ? MOT · french/lyon_tim05a.cha, line 666 · Tim 1;01
  1. CHIyyy .
    VALça fait du bruit ? 802225_803577
    MOT*MOT: tu donnes ? 803577_807252
    MOTtu vas lui donner à xxx . 807252_809037
    MOTtu vas lui donner xxx ? 809037_812112
  2. MOTtu vas lui donner à xxx . 807252_809037
    MOTtu vas lui donner xxx ? 809037_812112
    MOT*MOT: tu lui donnes ?
    MOTtu vas lui apporter ? 812112_814345
    MOTmh ? 814345_816863
  3. MOTtu jettes . 898647_900932
    CHIyyy . 900932_904795
    MOT*MOT: tu m(e) le donnes ?
    MOTtu viens m(e) le donner ? 904795_906527
    CHIyyy . 906527_908905

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. donnes3 · 100.0%