PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

7.28 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (312 utterances, 687 words searched).

  1. nani suru ? %mov:"20407"_7651_10348 FAT · japanese_ishii/20407.cha, line 14 · Jun 2;04
  2. doo suru ? %mov:"20407"_623676_624665 FAT · japanese_ishii/20407.cha, line 340 · Jun 2;04
  3. doo suru ? %mov:"20407"_685594_686131 FAT · japanese_ishii/20407.cha, line 367 · Jun 2;04
  4. doo shuru [: suru] ? %mov:"20407"_1180329_1182235 FAT · japanese_ishii/20407.cha, line 585 · Jun 2;04
  5. doo suru ? %mov:"20407"_1225922_1227344 FAT · japanese_ishii/20407.cha, line 604 · Jun 2;04
  1. FATe ? %mov:"20407"_0_5134
    FATnani shite ?%mov:"20407"_5134_7651
    FAT*FAT: nani suru ? %mov:"20407"_7651_10348
    CHInenne shun [: suru] no . %mov:"20407"_10348_12211
    FATe ? %mov:"20407"_12211_12707
  2. FATdoa shimena abunia yo . %mov:"20407"_619302_622118
    CHIhaai . %mov:"20407"_622118_623676
    FAT*FAT: doo suru ? %mov:"20407"_623676_624665
    CHIbashu taihen ya . %mov:"20407"_624665_631660
    FATbasu taihen ya . %mov:"20407"_631660_632795
  3. CHIbashu aa ka . %mov:"20407"_682601_684736
    FATugokania wa . %mov:"20407"_684736_685594
    FAT*FAT: doo suru ? %mov:"20407"_685594_686131
    CHIa [//] akuta . %mov:"20407"_686131_686131
    FATe ? %mov:"20407"_688416_688905
  4. CHIkuuma . %mov:"20407"_1174567_1175344
    CHInai naa kuuma xxx . %mov:"20407"_1175344_1180329
    FAT*FAT: doo shuru [: suru] ? %mov:"20407"_1180329_1182235
    FAThashiranai wa . %mov:"20407"_1182235_1185186
    CHIn ? %mov:"20407"_1185186_1186308
  5. FATaa, hore, mata kowaretaa . %mov:"20407"_1222426_1224126
    CHIkowaetaa . %mov:"20407"_1224126_1225922
    FAT*FAT: doo suru ? %mov:"20407"_1225922_1227344
    CHIhoe . %mov:"20407"_1227344_1227344
    CHIkue [: kore] # kue # piipoe xxx itta kara na ? %mov:"20407"_1228028_1233940

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_ishii7.28
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20407.chaJun 2;4.07687557.28

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. suru5 · 100.0%