PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

2.11 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (707 utterances, 1,893 words searched).

  1. dare ga in [: iru] no yo . %mov:"30119"_1730508_1744703 FAT · japanese_ishii/30119.cha, line 726 · Jun 3;01
  2. Yoochan toko neko konnake in [: iru] no . %mov:"30119"_2425963_2428073 FAT · japanese_ishii/30119.cha, line 1068 · Jun 3;01
  3. mittsu [<] in no . %mov:"30119"_2428073_2429815 FAT · japanese_ishii/30119.cha, line 1070 · Jun 3;01
  4. konna neko ga in no . %mov:"30119"_2437787_2438913 FAT · japanese_ishii/30119.cha, line 1072 · Jun 3;01
  1. CHIii no tte yutten [>] +... %mov:"30119"_1726809_1730508
    FATdare ga [<] yahan [: iru] no ?
    FAT*FAT: dare ga in [: iru] no yo . %mov:"30119"_1730508_1744703
    CHIhonnyattara [: soshitara] na # ano na buranko noroo . %mov:"30119"_1744703_1761021
    CHInaa . %mov:"30119"_1761021_1762204
  2. FATe ? %mov:"30119"_2418220_2422511
    CHIYoochan no na, neko n, konnake in [: iru] nya de . %mov:"30119"_2422511_2425963
    FAT*FAT: Yoochan toko neko konnake in [: iru] no . %mov:"30119"_2425963_2428073
    CHIanona [>] +... %mov:"30119"_2428073_2429815
    FATmittsu [<] in no . %mov:"30119"_2428073_2429815
  3. FATYoochan toko neko konnake in [: iru] no . %mov:"30119"_2425963_2428073
    CHIanona [>] +... %mov:"30119"_2428073_2429815
    FAT*FAT: mittsu [<] in no . %mov:"30119"_2428073_2429815
    CHIxxx # kore mo ko [//] neko na # konnan iru de,, konna neko mo . %mov:"30119"_2429815_2437787
    FATkonna neko ga in no . %mov:"30119"_2437787_2438913
  4. FATmittsu [<] in no . %mov:"30119"_2428073_2429815
    CHIxxx # kore mo ko [//] neko na # konnan iru de,, konna neko mo . %mov:"30119"_2429815_2437787
    FAT*FAT: konna neko ga in no . %mov:"30119"_2437787_2438913
    CHIun . %mov:"30119"_2438913_2439430
    CHIchau de . %mov:"30119"_2439430_2440584

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_ishii2.11
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/30119.chaJun 3;1.191,893442.11

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. in4 · 100.0%