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. hikooki ? %mov:"20029"_766261_767126 FAT · japanese_ishii/20029.cha, line 445 · Jun 2;00
  2. ookii hikooki ya ne . %mov:"20029"_881708_882773 FAT · japanese_ishii/20029.cha, line 527 · Jun 2;00
  1. japanese_ishii/20029.cha, line 445 · Jun, 2;0.29
    FATookii +... %mov:"20029"_762682_763609
    CHIbiyuun ya . %mov:"20029"_764788_766261
    FAT*FAT: hikooki ? %mov:"20029"_766261_767126
    CHIkooki ookii . %mov:"20029"_767126_768910
    FATun, ookii nee . %mov:"20029"_768910_770700
  2. japanese_ishii/20029.cha, line 527 · Jun, 2;0.29
    FATsoo, Papa ookii hoo ya nee ? %mov:"20029"_876960_878790
    CHIkoe oogii wa . %mov:"20029"_878790_881708
    FAT*FAT: ookii hikooki ya ne . %mov:"20029"_881708_882773
    FATkore mita nee . %mov:"20029"_882773_883603
    CHImita ? %mov:"20029"_883603_884968

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. hikooki2 · 100.0%