PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

1.63 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (465 utterances, 1,228 words searched).

  1. puropera ga nai to dame desu nee . %mov:"30523"_146581_150377 FAT · japanese_ishii/30523.cha, line 80 · Jun 3;05
  2. taoretara dame da . %mov:"30523"_2643059_2644799 FAT · japanese_ishii/30523.cha, line 1030 · Jun 3;05
  1. japanese_ishii/30523.cha, line 80 · Jun, 3;05.23
    FATsaate, hikooki o tsukuru ni wa ? %mov:"30523"_136942_145135
    CHIkore # kore an nya . %mov:"30523"_145135_146581
    FAT*FAT: puropera ga nai to dame desu nee . %mov:"30523"_146581_150377
    CHIpuropera ? %mov:"30523"_150377_151117
    FATun . %mov:"30523"_151117_151632
  2. japanese_ishii/30523.cha, line 1030 · Jun, 3;05.23
    CHItaoreten [: taoreteru] de, hora . %mov:"30523"_2638824_2641413
    CHItaoreten de, hora . %mov:"30523"_2641413_2643059
    FAT*FAT: taoretara dame da . %mov:"30523"_2643059_2644799
    CHIhora . %mov:"30523"_2644799_2645223
    CHImitee . %mov:"30523"_2645223_2646533

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_ishii1.63
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/30523.chaJun 3;05.231,228221.63

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. dame2 · 100.0%