PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

5.10 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (428 utterances, 981 words searched).

  1. mata kowasu nee . %mov:"20225"_1055883_1058863 FAT · japanese_ishii/20225.cha, line 489 · Jun 2;02
  2. mata kowasuu,, Jun wa . %mov:"20225"_1273312_1276606 FAT · japanese_ishii/20225.cha, line 588 · Jun 2;02
  3. aa aa, mata barabara@o shita no . %mov:"20225"_1526703_1530978 FAT · japanese_ishii/20225.cha, line 699 · Jun 2;02
  4. mata batan@o shite itai itaai yuu yo . %mov:"20225"_1594163_1597052 FAT · japanese_ishii/20225.cha, line 751 · Jun 2;02
  5. itai itai yo,, mata . %mov:"20225"_1610024_1611013 FAT · japanese_ishii/20225.cha, line 760 · Jun 2;02
  1. FATJun wa sugu kowasu nee . %mov:"20225"_1049771_1053422
    FATdame ya nee . %mov:"20225"_1053422_1055883
    FAT*FAT: mata kowasu nee . %mov:"20225"_1055883_1058863
    CHIna ? %mov:"20225"_1058863_1070199
    FATsoo ya ne ? %mov:"20225"_1070199_1073015
  2. CHIaa a !%mov:"20225"_1268429_1269156
    FATa aa aa . %mov:"20225"_1269156_1273312
    FAT*FAT: mata kowasuu,, Jun wa . %mov:"20225"_1273312_1276606
    FAThai, hai . %mov:"20225"_1276606_1280108
    FATpuchin@o . %mov:"20225"_1280108_1284674
  3. CHIxxx . %mov:"20225"_1519556_1522051
    CHItaiya xxx . %mov:"20225"_1522051_1526703
    FAT*FAT: aa aa, mata barabara@o shita no . %mov:"20225"_1526703_1530978
    FATPapa sekkaku tsukutta no ni . %mov:"20225"_1530978_1532352
    CHIxxx . %mov:"20225"_1532352_1535075
  4. CHIxxx [>] . %mov:"20225"_1591754_1594163
    FATxxx zo [<] .
    FAT*FAT: mata batan@o shite itai itaai yuu yo . %mov:"20225"_1594163_1597052
    CHIhoe koo na ? %mov:"20225"_1597052_1601429
    CHIkoo na ? %mov:"20225"_1601429_1602780
  5. CHIxxx sho ? %mov:"20225"_1606622_1608457
    FATun, pai@o shitara akan wa . %mov:"20225"_1608457_1610024
    FAT*FAT: itai itai yo,, mata . %mov:"20225"_1610024_1611013
    FATbatan@o suru yo . %mov:"20225"_1611013_1612195
    CHIxxx koe xxx . %mov:"20225"_1612195_1614231

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_ishii5.10
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20225.chaJun 2;2.25981555.10

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. mata5 · 100.0%