PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

2.46 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (327 utterances, 814 words searched).

  1. basu ka,, sore . %mov:"20113"_456817_457798 FAT · japanese_ishii/20113.cha, line 319 · Jun 2;01
  2. basu kaa ? %mov:"20113"_458601_459613 FAT · japanese_ishii/20113.cha, line 321 · Jun 2;01
  1. japanese_ishii/20113.cha, line 319 · Jun, 2;1.13
    FATun . %mov:"20113"_454476_455025
    CHItoakku # bashu . %mov:"20113"_455025_456817
    FAT*FAT: basu ka,, sore . %mov:"20113"_456817_457798
    CHIn ? %mov:"20113"_457798_458601
    FATbasu kaa ? %mov:"20113"_458601_459613
  2. japanese_ishii/20113.cha, line 321 · Jun, 2;1.13
    FATbasu ka,, sore . %mov:"20113"_456817_457798
    CHIn ? %mov:"20113"_457798_458601
    FAT*FAT: basu kaa ? %mov:"20113"_458601_459613
    CHIn ? %mov:"20113"_459613_460487
    FATfuun ? %mov:"20113"_460487_461979

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_ishii2.46
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20113.chaJun 2;1.13814222.46

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. basu2 · 100.0%