PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

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

  1. doo sun no,, kaji ga naosu tte . %mov:"30119"_1219762_1221834 FAT · japanese_ishii/30119.cha, line 514 · Jun 3;01
  2. mittsu wa doo ya [>] . %mov:"30119"_2447755_2451297 FAT · japanese_ishii/30119.cha, line 1081 · Jun 3;01
  3. mittsu wa doo sun no . %mov:"30119"_2460881_2462405 FAT · japanese_ishii/30119.cha, line 1091 · Jun 3;01
  4. doo shita n yaro . %mov:"30119"_2679659_2681270 FAT · japanese_ishii/30119.cha, line 1202 · Jun 3;01
  5. doo shoo . %mov:"30119"_3005481_3009401 FAT · japanese_ishii/30119.cha, line 1394 · Jun 3;01
  1. FATkaji [<] ga naosu no ?%mov:"30119"_1216859_1219762
    CHIun . %mov:"30119"_1219762_1219762
    FAT*FAT: doo sun no,, kaji ga naosu tte . %mov:"30119"_1219762_1221834
    CHIanona omizu xxx shite na # moo kowaretehen . %mov:"30119"_1221834_1225768
    FATkowaretehen no . %mov:"30119"_1225768_1227146
  2. FATitsutsu ? %mov:"30119"_2444392_2445509
    CHIitsutsu # miittsu . %mov:"30119"_2445509_2447755
    FAT*FAT: mittsu wa doo ya [>] . %mov:"30119"_2447755_2451297
    CHIkonnake [<] konnake ita de . %mov:"30119"_2447755_2451297
    FATsore futatsu yan ka . %mov:"30119"_2451297_2452036
  3. FATun . %mov:"30119"_2457735_2458896
    CHIna ? %mov:"30119"_2458896_2460881
    FAT*FAT: mittsu wa doo sun no . %mov:"30119"_2460881_2462405
    CHImittsu wa konna . %mov:"30119"_2462405_2463989
    FATsoo ya . %mov:"30119"_2463989_2464789
  4. FATmoosugu yuu wa . %mov:"30119"_2675881_2677095
    FATosoi naa . %mov:"30119"_2677095_2679659
    FAT*FAT: doo shita n yaro . %mov:"30119"_2679659_2681270
    CHIkore kowareta n ya . %mov:"30119"_2681270_2683859
    FATkowareta n ka . %mov:"30119"_2683859_2684901
  5. FATasoko ya . %mov:"30119"_3000214_3003774
    FATtorenai wa . %mov:"30119"_3003774_3005481
    FAT*FAT: doo shoo . %mov:"30119"_3005481_3009401
    CHIkore mo # tottaro . %mov:"30119"_3009401_3015236
    FATtoreru ka ? %mov:"30119"_3015236_3017021

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_ishii2.64
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/30119.chaJun 3;1.191,893552.64

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. doo5 · 100.0%