PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

4.33 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (203 utterances, 462 words searched).

  1. kore de ii no ? %mov:"01110"_771369_772874 FAT · japanese_ishii/01110.cha, line 346 · Jun 0;11
  2. kore gurai de ii ka na ? %mov:"01110"_821371_823729 FAT · japanese_ishii/01110.cha, line 379 · Jun 0;11
  1. japanese_ishii/01110.cha, line 346 · Jun, 0;11.10
    FATsotchi iku no ? %mov:"01110"_759842_760979
    FATyoisho ! %mov:"01110"_765776_766609
    FAT*FAT: kore de ii no ? %mov:"01110"_771369_772874
    FAThaitta ? %mov:"01110"_781345_782759
    CHIdyon . %mov:"01110"_782759_782759
  2. japanese_ishii/01110.cha, line 379 · Jun, 0;11.10
    FATkonna (ni) natta . %mov:"01110"_820312_820812
    FATkore ga ii ka na ? %mov:"01110"_820312_821371
    FAT*FAT: kore gurai de ii ka na ? %mov:"01110"_821371_823729
    FATJunkun ! %mov:"01110"_830247_831497
    FATJun ! %mov:"01110"_840939_843021

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_ishii4.33
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/01110.chaJun 0;11.10462224.33

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. de2 · 100.0%