PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

2.14 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (383 utterances, 935 words searched).

  1. ippai ya, hore . %mov:"20017"_1102171_1103049 FAT · japanese_ishii/20017.cha, line 656 · Jun 2;00
  2. ippai haitta . %mov:"20017"_1104115_1105145 FAT · japanese_ishii/20017.cha, line 658 · Jun 2;00
  1. japanese_ishii/20017.cha, line 656 · Jun, 2;0.17
    CHIaai . %mov:"20017"_1099239_1099847
    FATtakusan hairu yo . %mov:"20017"_1099847_1102171
    FAT*FAT: ippai ya, hore . %mov:"20017"_1102171_1103049
    CHIn ? %mov:"20017"_1103049_1104115
    FATippai haitta . %mov:"20017"_1104115_1105145
  2. japanese_ishii/20017.cha, line 658 · Jun, 2;0.17
    FATippai ya, hore . %mov:"20017"_1102171_1103049
    CHIn ? %mov:"20017"_1103049_1104115
    FAT*FAT: ippai haitta . %mov:"20017"_1104115_1105145
    FATmoo nai ? %mov:"20017"_1105145_1108009
    FATnani,, kore ? %mov:"20017"_1108009_1113786

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_ishii2.14
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20017.chaJun 2;0.17935222.14

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. ippai2 · 100.0%