PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

2.65 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (285 utterances, 754 words searched).

  1. hora . %mov:"30507"_599469_601162 FAT · japanese_ishii/30507.cha, line 347 · Jun 3;05
  2. hora, kore mo Porushe ya . %mov:"30507"_1113331_1115555 FAT · japanese_ishii/30507.cha, line 565 · Jun 3;05
  1. japanese_ishii/30507.cha, line 347 · Jun, 3;5.07
    CHIn ? %mov:"30507"_593735_595458
    FATchotto dake mawaru wa . %mov:"30507"_595458_599469
    FAT*FAT: hora . %mov:"30507"_599469_601162
    FATmoo mawarahen . %mov:"30507"_601162_604501
    FAThantaimuke mawashite . %mov:"30507"_604501_607348
  2. japanese_ishii/30507.cha, line 565 · Jun, 3;5.07
    FATPorushe ya . %mov:"30507"_1109728_1112305
    CHIPorushe . %mov:"30507"_1112305_1113331
    FAT*FAT: hora, kore mo Porushe ya . %mov:"30507"_1113331_1115555
    CHIkore mo Porushe ya . %mov:"30507"_1115555_1121735
    FATdore . %mov:"30507"_1121735_1122851

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_ishii2.65
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/30507.chaJun 3;5.07754222.65

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. hora2 · 100.0%