PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

2.27 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (364 utterances, 1,323 words searched).

  1. au_revoir Chi . 929211_934200 MOT · french/lyon_ana05a.cha, line 491 · Anais 1;02
  2. au_revoir . 960643_971678 MOT · french/lyon_ana05a.cha, line 540 · Anais 1;02
  3. au_revoir . 971581_974103 MOT · french/lyon_ana05a.cha, line 546 · Anais 1;02
  1. french/lyon_ana05a.cha, line 491 · Anais, 1;2.11
    MOT<sa ceinture> [>] .
    GERhoplà [<] .
    MOT*MOT: au_revoir Chi . 929211_934200
    MOTcoucou .
    MOToh ben t(u) es jolie tiens . 934200_941148
  2. french/lyon_ana05a.cha, line 540 · Anais, 1;2.11
    MOTwww [= ! rit] .
    CHIau_revoir .
    MOT*MOT: au_revoir . 960643_971678
    CHIau_revoir .
    MOTau_revoir . 971581_974103
  3. french/lyon_ana05a.cha, line 546 · Anais, 1;2.11
    MOTau_revoir . 960643_971678
    CHIau_revoir .
    MOT*MOT: au_revoir . 971581_974103
    CHIyyy .
    MOTc'est pas un sac .

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. Anais french2.27
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_ana05a.chaAnais 1;2.111,323332.27

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. au_revoir3 · 100.0%