PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

2.65 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (753 utterances, 1,884 words searched).

  1. tsumiki ue no hikidashi chigau ka ? %mov:"20713"_1192171_1193841 FAT · japanese_ishii/20713.cha, line 672 · Jun 2;07
  2. tsumiki katazukenasai . %mov:"20713"_2793541_2794996 FAT · japanese_ishii/20713.cha, line 1382 · Jun 2;07
  3. tsumiki hotta na ! %mov:"20713"_3242251_3243124 FAT · japanese_ishii/20713.cha, line 1555 · Jun 2;07
  4. batan@o shita na,, tsumiki ! %mov:"20713"_3248179_3249780 FAT · japanese_ishii/20713.cha, line 1559 · Jun 2;07
  5. hayo katazuketekudasai,, tsumiki . %mov:"20713"_3253632_3256327 FAT · japanese_ishii/20713.cha, line 1563 · Jun 2;07
  1. CHIhai . %mov:"20713"_1187333_1188887
    CHItsumiki wa # tsumiki ? %mov:"20713"_1188887_1192171
    FAT*FAT: tsumiki ue no hikidashi chigau ka ? %mov:"20713"_1192171_1193841
    CHIn ? %mov:"20713"_1193841_1194274
    FATue chigau ka ? %mov:"20713"_1194274_1194899
  2. CHIiku no, hora . %mov:"20713"_2791179_2792772
    CHImitemi . %mov:"20713"_2792772_2793541
    FAT*FAT: tsumiki katazukenasai . %mov:"20713"_2793541_2794996
    CHIiya . %mov:"20713"_2794996_2797696
    CHIshindoi [: tsukareta] no . %mov:"20713"_2797696_2800152
  3. CHIn ? %mov:"20713"_3239909_3240912
    CHIn ? %mov:"20713"_3240912_3242251
    FAT*FAT: tsumiki hotta na ! %mov:"20713"_3242251_3243124
    CHIn ? %mov:"20713"_3243124_3245003
    CHInan da ? %mov:"20713"_3245003_3246911
  4. CHInan da ? %mov:"20713"_3245003_3246911
    CHIdoko ? %mov:"20713"_3246911_3248179
    FAT*FAT: batan@o shita na,, tsumiki ! %mov:"20713"_3248179_3249780
    CHIn ? %mov:"20713"_3249780_3251066
    CHIkore ka ? %mov:"20713"_3251066_3252843
  5. CHIkore ka ? %mov:"20713"_3251066_3252843
    FATaa . %mov:"20713"_3252843_3253632
    FAT*FAT: hayo katazuketekudasai,, tsumiki . %mov:"20713"_3253632_3256327
    CHIniyaan@o . %mov:"20713"_3256327_3258803
    CHInyanko sawattemi . %mov:"20713"_3258803_3261280

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/20713.chaJun 2;7.131,884552.65

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. tsumiki5 · 100.0%