PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

3.74 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (259 utterances, 535 words searched).

  1. torakku ? %mov:"10816"_291304_292152 FAT · japanese_ishii/10816.cha, line 291 · Jun 1;08
  2. torakku wa ? %mov:"10816"_445556_446343 FAT · japanese_ishii/10816.cha, line 435 · Jun 1;08
  1. japanese_ishii/10816.cha, line 291 · Jun, 1;8.16
    FATbuabua . %mov:"10816"_289835_290553
    CHIdaabu . %mov:"10816"_290553_291304
    FAT*FAT: torakku ? %mov:"10816"_291304_292152
    FATdore ga ? %mov:"10816"_292152_292817
    CHItoakku . %mov:"10816"_292817_293749
  2. japanese_ishii/10816.cha, line 435 · Jun, 1;8.16
    FATsoosoosoo . %mov:"10816"_444288_444927
    FATsore basu ya . %mov:"10816"_444927_444927
    FAT*FAT: torakku wa ? %mov:"10816"_445556_446343
    CHItoakku ? %mov:"10816"_446343_447818
    FATun . %mov:"10816"_447818_448235

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_ishii3.74
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/10816.chaJun 1;8.16535223.74

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. torakku2 · 100.0%