PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

2.01 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (405 utterances, 996 words searched).

  1. kore ni nosetara doo ? %mov:"20320"_992896_999806 FAT · japanese_ishii/20320.cha, line 497 · Jun 2;03
  2. un, soko doo yaro ne . %mov:"20320"_1105145_1106878 FAT · japanese_ishii/20320.cha, line 543 · Jun 2;03
  1. japanese_ishii/20320.cha, line 497 · Jun, 2;3.20
    FATochiru ochiru . %mov:"20320"_987422_989026
    CHIxxx . %mov:"20320"_989026_989026
    FAT*FAT: kore ni nosetara doo ? %mov:"20320"_992896_999806
    CHIn ? %mov:"20320"_999806_999806
    FATdampukaa ni nosetara wa,, kooshite ? %mov:"20320"_1001286_1004361
  2. japanese_ishii/20320.cha, line 543 · Jun, 2;3.20
    FATun . %mov:"20320"_1103759_1104304
    CHIkoko de ? %mov:"20320"_1104304_1105145
    FAT*FAT: un, soko doo yaro ne . %mov:"20320"_1105145_1106878
    CHIhore . %mov:"20320"_1106878_1108239
    CHIkoko ochiu [>] . %mov:"20320"_1108239_1110649

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_ishii2.01
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20320.chaJun 2;3.20996222.01

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. doo2 · 100.0%