PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

2.42 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (364 utterances, 1,241 words searched).

  1. au_revoir Chi . 1268975_1277057 MOT · french/lyon_ana06a.cha, line 998 · Anais 1;03
  2. au_revoir . MOT · french/lyon_ana06a.cha, line 1004 · Anais 1;03
  3. au_revoir . 1679113_1679993 MOT · french/lyon_ana06a.cha, line 1249 · Anais 1;03
  1. CHIwww [= ! grogne] . 1267467_1268592
    MOTkaléidoscope . 1268592_1268975
    MOT*MOT: au_revoir Chi . 1268975_1277057
    CHI‹au_revoir [?]› . 1277057_1279337
    MOTau_revoir .
  2. MOTau_revoir Chi . 1268975_1277057
    CHI‹au_revoir [?]› . 1277057_1279337
    MOT*MOT: au_revoir .
    CHIwww [= ! crie] . 1279337_1280755
    MOTwww [= ! rit] . 1280755_1284977
  3. MOTtu le promènes . 1671627_1671947
    CHIau_revoir . 1671947_1679113
    MOT*MOT: au_revoir . 1679113_1679993
    CHIwww [= ! crie] . 1679993_1680872
    CHI‹yyy [= ! vocalise]› . 1680872_1694270

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 french2.42
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_ana06a.chaAnais 1;3.31,241332.42

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%