PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

2.67 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (295 utterances, 749 words searched).

  1. are ? %mov:"20108"_457972_459201 FAT · japanese_ishii/20108.cha, line 303 · Jun 2;01
  2. kowai,, are ? %mov:"20108"_681005_682631 FAT · japanese_ishii/20108.cha, line 444 · Jun 2;01
  1. japanese_ishii/20108.cha, line 303 · Jun, 2;1.08
    CHIkoe a ? %mov:"20108"_455802_456453
    FATyoshi, kore miyo ka,, kondo ? %mov:"20108"_456453_457972
    FAT*FAT: are ? %mov:"20108"_457972_459201
    FATkore nan da . %mov:"20108"_459201_459717
    CHIotchitchi . %mov:"20108"_459717_463257
  2. japanese_ishii/20108.cha, line 444 · Jun, 2;1.08
    CHInainai ta . %mov:"20108"_679010_680421
    FATun . %mov:"20108"_680421_681005
    FAT*FAT: kowai,, are ? %mov:"20108"_681005_682631
    CHIkowanai . %mov:"20108"_682631_684519
    FATe ? %mov:"20108"_684519_685108

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_ishii2.67
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20108.chaJun 2;1.08749222.67

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%