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. keeki . %mov:"20108"_645748_646676 FAT · japanese_ishii/20108.cha, line 414 · Jun 2;01
  2. keeki ya nee . %mov:"20108"_648145_649294 FAT · japanese_ishii/20108.cha, line 416 · Jun 2;01
  1. japanese_ishii/20108.cha, line 414 · Jun, 2;1.08
    FAToishisoo . %mov:"20108"_642947_645051
    CHIkiiki . %mov:"20108"_645051_645748
    FAT*FAT: keeki . %mov:"20108"_645748_646676
    CHIkiiki . %mov:"20108"_646676_648145
    FATkeeki ya nee . %mov:"20108"_648145_649294
  2. japanese_ishii/20108.cha, line 416 · Jun, 2;1.08
    FATkeeki . %mov:"20108"_645748_646676
    CHIkiiki . %mov:"20108"_646676_648145
    FAT*FAT: keeki ya nee . %mov:"20108"_648145_649294
    FATuun ? %mov:"20108"_649294_650674
    CHIkowanaai ? %mov:"20108"_650674_652269

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. keeki2 · 100.0%