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 vas lui donner à xxx . 807252_809037 MOT · french/lyon_tim05a.cha, line 579 · Tim 1;01
  2. tu vas lui donner xxx ? 809037_812112 MOT · french/lyon_tim05a.cha, line 582 · Tim 1;01
  3. tu viens m(e) le donner ? 904795_906527 MOT · french/lyon_tim05a.cha, line 668 · Tim 1;01
  1. VALça fait du bruit ? 802225_803577
    MOTtu donnes ? 803577_807252
    MOT*MOT: tu vas lui donner à xxx . 807252_809037
    MOTtu vas lui donner xxx ? 809037_812112
    MOTtu lui donnes ?
  2. MOTtu donnes ? 803577_807252
    MOTtu vas lui donner à xxx . 807252_809037
    MOT*MOT: tu vas lui donner xxx ? 809037_812112
    MOTtu lui donnes ?
    MOTtu vas lui apporter ? 812112_814345
  3. CHIyyy . 900932_904795
    MOTtu m(e) le donnes ?
    MOT*MOT: tu viens m(e) le donner ? 904795_906527
    CHIyyy . 906527_908905
    CHIyyy . 908905_917262

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. donner3 · 100.0%