PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

2.81 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (291 utterances, 712 words searched).

  1. ookii nee,, kore mo . %mov:"20029"_772148_773540 FAT · japanese_ishii/20029.cha, line 449 · Jun 2;00
  2. kore mo mita ? %mov:"20029"_895697_896660 FAT · japanese_ishii/20029.cha, line 539 · Jun 2;00
  1. japanese_ishii/20029.cha, line 449 · Jun, 2;0.29
    FATun, ookii nee . %mov:"20029"_768910_770700
    CHIyaa ! %mov:"20029"_770700_770700
    FAT*FAT: ookii nee,, kore mo . %mov:"20029"_772148_773540
    FATkore nan deshu [: desu] ka ? %mov:"20029"_773540_775319
    CHIoe a ? %mov:"20029"_775319_775994
  2. japanese_ishii/20029.cha, line 539 · Jun, 2;0.29
    FATkore mita [<] . %mov:"20029"_891780_894447
    CHIn ? %mov:"20029"_894447_895697
    FAT*FAT: kore mo mita ? %mov:"20029"_895697_896660
    CHIxxx naa . %mov:"20029"_896660_899906
    FATe ? %mov:"20029"_899906_900636

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_ishii2.81
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20029.chaJun 2;0.29712222.81

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. mo2 · 100.0%