PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

3.30 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (327 utterances, 909 words searched).

  1. mh . 722373_724792 MOT · french/lyon_nat06a.cha, line 586 · Nathan 1;02
  2. mh ? 1125948_1127200 MOT · french/lyon_nat06a.cha, line 719 · Nathan 1;02
  3. mh [= ! à Jea] . MOT · french/lyon_nat06a.cha, line 1121 · Nathan 1;02
  1. MOTil est bon ton jus ? 697908_720840
    CHI‹encore [?]› . 720840_722373
    MOT*MOT: mh . 722373_724792
    MOTy en a encore ?
    MOTy en a encore dans l(e) fond ? 724792_737080
  2. MOTyyy [= ! reprend Nat] ? 1123272_1124593
    CHIyyy . 1124593_1125948
    MOT*MOT: mh ? 1125948_1127200
    CHIyyy . 1127200_1128463
    MOTwww [= ! souffle] . 1128463_1131663
  3. CHI‹yyy [= ! rale]› .
    JEAwww [= ! crie] . 1505980_1507505
    MOT*MOT: mh [= ! à Jea] .
    MOTwww [= ! chantonne] . 1507505_1526637
    MOTwww [= ! chantonne] .

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. Nathan french3.30
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_nat06a.chaNathan 1;2.26909333.30

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. mh3 · 100.0%