PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

9.13 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (192 utterances, 438 words searched).

  1. nan deshu [: desu] ka,, sore wa . %mov:"00822"_19497_20843 FAT · japanese_ishii/00822.cha, line 21 · Jun 0;08
  2. achichi@o to chigau ka,, sore (wa) . %mov:"00822"_100424_102721 FAT · japanese_ishii/00822.cha, line 53 · Jun 0;08
  3. Junkun, nani ka naa,, shore [: sore] wa . %mov:"00822"_617663_620605 FAT · japanese_ishii/00822.cha, line 244 · Jun 0;08
  4. shore [: sore] wa nani ka naa . %mov:"00822"_620605_623770 FAT · japanese_ishii/00822.cha, line 245 · Jun 0;08
  1. japanese_ishii/00822.cha, line 21 · Jun, 0;8.22
    FATnan deshu ka [>] ? %mov:"00822"_17528_19497
    CHI<ungyaa> [>] ungyaae: . %mov:"00822"_17528_19497
    FAT*FAT: nan deshu [: desu] ka,, sore wa . %mov:"00822"_19497_20843
    FATnan deshu [: desu] ka,, kore wa . %mov:"00822"_20843_22985
    FATkachakacha@o shite . %mov:"00822"_22985_24949
  2. japanese_ishii/00822.cha, line 53 · Jun, 0;8.22
    FATa aa aa . %mov:"00822"_88457_91116
    FATtorechattaa . %mov:"00822"_91116_93074
    FAT*FAT: achichi@o to chigau ka,, sore (wa) . %mov:"00822"_100424_102721
    FATdaijoobu ka ? %mov:"00822"_102721_103620
    FATaa, <ii oto> [/] ii oto . %mov:"00822"_110632_113716
  3. japanese_ishii/00822.cha, line 244 · Jun, 0;8.22
    FATo . %mov:"00822"_612059_614324
    FATnani ka naa, Junkun . %mov:"00822"_614324_617663
    FAT*FAT: Junkun, nani ka naa,, shore [: sore] wa . %mov:"00822"_617663_620605
    FATshore [: sore] wa nani ka naa . %mov:"00822"_620605_623770
    FAThai, chotto tachi shitete yaa [: yo] . %mov:"00822"_623770_626291
  4. japanese_ishii/00822.cha, line 245 · Jun, 0;8.22
    FATnani ka naa, Junkun . %mov:"00822"_614324_617663
    FATJunkun, nani ka naa,, shore [: sore] wa . %mov:"00822"_617663_620605
    FAT*FAT: shore [: sore] wa nani ka naa . %mov:"00822"_620605_623770
    FAThai, chotto tachi shitete yaa [: yo] . %mov:"00822"_623770_626291
    FATyoisho . %mov:"00822"_636484_637345

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_ishii9.13
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/00822.chaJun 0;8.22438449.13

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. sore4 · 100.0%