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. chotto mawaru ne . %mov:"30507"_608131_609385 FAT · japanese_ishii/30507.cha, line 351 · Jun 3;05
  2. un, sore non ne,, kega shitara . %mov:"30507"_914990_917470 FAT · japanese_ishii/30507.cha, line 469 · Jun 3;05
  1. FAThantaimuke mawashite . %mov:"30507"_604501_607348
    FATsoo [/] soo . %mov:"30507"_607348_608131
    FAT*FAT: chotto mawaru ne . %mov:"30507"_608131_609385
    CHIeen@o te iku naa . %mov:"30507"_609385_615847
    FATnani # nani tsuiten no . %mov:"30507"_615847_619521
  2. CHIsoo desu ka . %mov:"30507"_898905_900888
    CHIkega shita hito wa ? %mov:"30507"_900888_914990
    FAT*FAT: un, sore non ne,, kega shitara . %mov:"30507"_914990_917470
    CHIke # kega (shita) hito wa ? %mov:"30507"_917470_919026
    FATe ? %mov:"30507"_919026_919665

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. ne2 · 100.0%