PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

2.71 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (424 utterances, 1,474 words searched).

  1. tu m(e) donnes ça ? 619048_625380 MOT · french/lyon_tim04a.cha, line 545 · Tim 1;01
  2. tu m(e) la donnes ? 924035_933850 MOT · french/lyon_tim04a.cha, line 822 · Tim 1;01
  3. tu m(e) la donnes ? MOT · french/lyon_tim04a.cha, line 824 · Tim 1;01
  4. hein tu m(e) la donnes ? MOT · french/lyon_tim04a.cha, line 826 · Tim 1;01
  1. CHIxxx . 611448_619048
    CHIxxx .
    MOT*MOT: tu m(e) donnes ça ? 619048_625380
    MOTtu m(e) l'apportes ? 625380_627137
    MOTest-c(e) que tu m(e) l'apportes ? 627137_629190
  2. CHIyyy .
    MOTah .
    MOT*MOT: tu m(e) la donnes ? 924035_933850
    MOTtu m(e) la donnes ?
    MOThein tu m(e) la donnes ?
  3. MOTah .
    MOTtu m(e) la donnes ? 924035_933850
    MOT*MOT: tu m(e) la donnes ?
    MOThein tu m(e) la donnes ?
    CHIyyy .
  4. MOTtu m(e) la donnes ? 924035_933850
    MOTtu m(e) la donnes ?
    MOT*MOT: hein tu m(e) la donnes ?
    CHIyyy .
    MOThop yaya [: il y a] la queue .

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 french2.71
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_tim04a.chaTim 1;1.101,474442.71

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. donnes4 · 100.0%