PHPCLANCHILDES with regular expressions

7 matches in 4 utterances

6.22 per 1,000 words of the child (CHI), in 1 of 1 transcripts (414 utterances, 1,125 words searched).

  1. becka@p becka@p [% apparently doesn't mean anything] . CHI · eng_USA_Valian/17b.cha, line 561 · 17B 2;05
  2. becka@p becka@p [% apparently doesn't mean anything] . CHI · eng_USA_Valian/17b.cha, line 561 · 17B 2;05
  3. becka@p becka@p . CHI · eng_USA_Valian/17b.cha, line 563 · 17B 2;05
  4. becka@p becka@p . CHI · eng_USA_Valian/17b.cha, line 563 · 17B 2;05
  5. becka@p becka@p . CHI · eng_USA_Valian/17b.cha, line 567 · 17B 2;05
  6. becka@p becka@p . CHI · eng_USA_Valian/17b.cha, line 567 · 17B 2;05
  7. becka@p [% attacks MOT] . CHI · eng_USA_Valian/17b.cha, line 571 · 17B 2;05
  1. CHIxxx .
    MOTI guess so [% inv and MOT laugh] .
    CHI*CHI: becka@p becka@p [% apparently doesn't mean anything] .
    CHIbecka@p becka@p .
    MOTbecka@p becka@p ?
  2. MOTI guess so [% inv and MOT laugh] .
    CHIbecka@p becka@p [% apparently doesn't mean anything] .
    CHI*CHI: becka@p becka@p .
    MOTbecka@p becka@p ?
    CHIbecka@p becka@p .
  3. CHIbecka@p becka@p .
    MOTbecka@p becka@p ?
    CHI*CHI: becka@p becka@p .
    MOTyou bein(g) silly .
    CHIbecka@p [% attacks MOT] .
  4. CHIbecka@p becka@p .
    MOTyou bein(g) silly .
    CHI*CHI: becka@p [% attacks MOT] .
    MOTto what do I owe this affection ?
    INVthe attack [% MOT and inv laugh] .

Matches by age

One dot per transcript: matches per 1,000 words of the child (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. 17B eng_USA_Valian6.22
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Valian/17b.cha17B 2;5.211,125476.22

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. becka7 · 100.0%