PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

1.47 per 1,000 words of the child (CHI), in 1 of 1 transcripts (612 utterances, 1,356 words searched).

  1. are ? %mov:"20602"_1388840_1390882 CHI · japanese_ishii/20602.cha, line 850 · Jun 2;06
  2. are ? %mov:"20602"_1738602_1743854 CHI · japanese_ishii/20602.cha, line 1037 · Jun 2;06
  1. japanese_ishii/20602.cha, line 850 · Jun, 2;6.02
    FATare ? %mov:"20602"_1388049_1388403
    CHIha ? %mov:"20602"_1388403_1388840
    CHI*CHI: are ? %mov:"20602"_1388840_1390882
    FATare ? %mov:"20602"_1390882_1391606
    CHIjidoosha kakena [?] kore . %mov:"20602"_1391606_1394106
  2. japanese_ishii/20602.cha, line 1037 · Jun, 2;6.02
    FATnaoshiten no ? %mov:"20602"_1735512_1736436
    FATsonna shitara naoranai wa . %mov:"20602"_1736436_1738602
    CHI*CHI: are ? %mov:"20602"_1738602_1743854
    CHIxxx nai nee ,, handoru . %mov:"20602"_1743854_1751782
    CHIaru [/] aru . %mov:"20602"_1751782_1754478

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. Jun japanese_ishii1.47
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20602.chaJun 2;6.021,356221.47

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. are2 · 100.0%