PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

1.72 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (386 utterances, 1,163 words searched).

  1. hai, koko de miyo . %mov:"30524"_27512_31249 FAT · japanese_ishii/30524.cha, line 28 · Jun 3;05
  2. hai, mushikago ni ireru ka nigashiteyaru ka dotchi ka ni shinasai . %mov… FAT · japanese_ishii/30524.cha, line 745 · Jun 3;05
  1. CHIhora, kono naka haittar . %mov:"30524"_22211_25500
    FATyoshi . %mov:"30524"_25500_27512
    FAT*FAT: hai, koko de miyo . %mov:"30524"_27512_31249
    FATsoko ittekure . %mov:"30524"_28406_32852
    FATn ? %mov:"30524"_32852_35194
  2. FATsonna toko iretara akan . %mov:"30524"_1443726_1444586
    FATtsubureteshimau,, sonna xxx ra . %mov:"30524"_1444586_1446944
    FAT*FAT: hai, mushikago ni ireru ka nigashiteyaru ka dotchi ka ni shinasai . %mov:"30524"_1446944_1453052
    CHIOtoosan mo misete ageyo to omotta . %mov:"30524"_1453052_1457763
    FATe ? %mov:"30524"_1457763_1458156

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_ishii1.72
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/30524.chaJun 3;05.241,163221.72

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. hai2 · 100.0%