PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

6.49 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (118 utterances, 308 words searched).

  1. mamma mitai nee . %mov:"10616"_15631_16905 FAT · japanese_ishii/10616.cha, line 19 · Jun 1;06
  2. putchiin@o suru no (ga) nai nee . %mov:"10616"_115655_117065 FAT · japanese_ishii/10616.cha, line 82 · Jun 1;06
  1. japanese_ishii/10616.cha, line 19 · Jun, 1;6.16
    FATmamma ja nai,, sore wa . %mov:"10616"_13512_14850
    CHImamma . %mov:"10616"_14850_15631
    FAT*FAT: mamma mitai nee . %mov:"10616"_15631_16905
    CHImamma . %mov:"10616"_16905_18496
    FATheddoraito ya,, sore (wa) . %mov:"10616"_18496_19486
  2. japanese_ishii/10616.cha, line 82 · Jun, 1;6.16
    CHIxxx [<] .%mov:"10616"_112286_114574
    CHIputchii . %mov:"10616"_114574_115655
    FAT*FAT: putchiin@o suru no (ga) nai nee . %mov:"10616"_115655_117065
    FATare ? %mov:"10616"_117065_120461
    FATnai naa . %mov:"10616"_120461_126151

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_ishii6.49
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/10616.chaJun 1;6.16308226.49

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. nee2 · 100.0%