PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

2.33 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (351 utterances, 859 words searched).

  1. nani [/-] doo sun no ? %mov:"20524"_243987_248149 FAT · japanese_ishii/20524.cha, line 140 · Jun 2;05
  2. doo sun no ka na . %mov:"20524"_1530791_1531721 FAT · japanese_ishii/20524.cha, line 739 · Jun 2;05
  1. japanese_ishii/20524.cha, line 140 · Jun, 2;5.24
    CHIo ? %mov:"20524"_233898_241159
    CHIdoo suru ka naa . %mov:"20524"_241159_243987
    FAT*FAT: nani [/-] doo sun no ? %mov:"20524"_243987_248149
    CHIn ? %mov:"20524"_248149_249400
    CHInani ? %mov:"20524"_249400_249400
  2. japanese_ishii/20524.cha, line 739 · Jun, 2;5.24
    CHIdoo sun no # kore ? %mov:"20524"_1523492_1526747
    CHIdoo sun no ka na ? %mov:"20524"_1526747_1530791
    FAT*FAT: doo sun no ka na . %mov:"20524"_1530791_1531721
    FATnai wa . %mov:"20524"_1531721_1532354
    FATkore akan wa . %mov:"20524"_1532354_1537987

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. Jun japanese_ishii2.33
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20524.chaJun 2;5.24859222.33

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. doo2 · 100.0%