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. mee inai . %mov:"20029"_236959_238102 FAT · japanese_ishii/20029.cha, line 143 · Jun 2;00
  2. mee inai yoo . %mov:"20029"_240982_241846 FAT · japanese_ishii/20029.cha, line 147 · Jun 2;00
  1. japanese_ishii/20029.cha, line 143 · Jun, 2;0.29
    CHIjaa . %mov:"20029"_230268_231939
    FATa, inaai . %mov:"20029"_231939_236959
    FAT*FAT: mee inai . %mov:"20029"_236959_238102
    FATa, itaita . %mov:"20029"_238102_238102
    CHIxxx ? %mov:"20029"_238837_240982
  2. japanese_ishii/20029.cha, line 147 · Jun, 2;0.29
    FATa, itaita . %mov:"20029"_238102_238102
    CHIxxx ? %mov:"20029"_238837_240982
    FAT*FAT: mee inai yoo . %mov:"20029"_240982_241846
    FATurusai ! %mov:"20029"_241846_257730
    FATpanpan@o shinai no ! %mov:"20029"_257730_268507

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. mee2 · 100.0%