PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

4.46 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (476 utterances, 1,120 words searched).

  1. uun, neko mo iru na [: nee] . %mov:"11015"_133241_135108 FAT · japanese_ishii/11015.cha, line 123 · Jun 1;10
  2. mo [: moo] ii yo . %mov:"11015"_243625_245321 FAT · japanese_ishii/11015.cha, line 199 · Jun 1;10
  3. kirinsan mo choodai tte (itteiru) . %mov:"11015"_602350_603777 FAT · japanese_ishii/11015.cha, line 357 · Jun 1;10
  4. koko ni mo tokei atta desho ? %mov:"11015"_1386033_1387515 FAT · japanese_ishii/11015.cha, line 751 · Jun 1;10
  5. sore mo pisutoru ya na . %mov:"11015"_1538869_1540556 FAT · japanese_ishii/11015.cha, line 860 · Jun 1;10
  1. FAThonto . %mov:"11015"_131257_132298
    CHInyaan . %mov:"11015"_132298_133241
    FAT*FAT: uun, neko mo iru na [: nee] . %mov:"11015"_133241_135108
    CHInyan . %mov:"11015"_135108_135108
    FATnyan . %mov:"11015"_136671_139049
  2. CHIai . %mov:"11015"_242241_242767
    FAThai, aato [: arigato] . %mov:"11015"_242767_243625
    FAT*FAT: mo [: moo] ii yo . %mov:"11015"_243625_245321
    CHIhoa . %mov:"11015"_245321_246583
    FATpii@o (yo) yuu yo . %mov:"11015"_246583_248033
  3. CHIbuudododo . %mov:"11015"_592099_601754
    FATwaa ! %mov:"11015"_601754_602350
    FAT*FAT: kirinsan mo choodai tte (itteiru) . %mov:"11015"_602350_603777
    FATjuusu choodai yutteru [: itte iru] wa . %mov:"11015"_603777_606834
    CHImamma xxx [>] . %mov:"11015"_606834_610582
  4. CHIxxx . %mov:"11015"_1381444_1383854
    CHIuu u . %mov:"11015"_1383854_1386033
    FAT*FAT: koko ni mo tokei atta desho ? %mov:"11015"_1386033_1387515
    FATdore to issho yatta [: datta] ? %mov:"11015"_1387515_1388645
    FATatta atta, hora . %mov:"11015"_1388645_1390702
  5. FATbokaan ? %mov:"11015"_1536585_1537674
    CHIbokaan ya . %mov:"11015"_1537674_1538869
    FAT*FAT: sore mo pisutoru ya na . %mov:"11015"_1538869_1540556
    CHIxxx . %mov:"11015"_1540556_1542904
    FATare ? %mov:"11015"_1542904_1544103

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_ishii4.46
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/11015.chaJun 1;10.151,120554.46

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. mo5 · 100.0%