PHPCLANCHILDES with regular expressions

10 matches in 10 utterances

5.62 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (720 utterances, 1,780 words searched).

  1. soo da . %mov:"30112"_1194030_1194908 FAT · japanese_ishii/30112.cha, line 660 · Jun 3;01
  2. soo da . %mov:"30112"_1201925_1202503 FAT · japanese_ishii/30112.cha, line 664 · Jun 3;01
  3. soo da . %mov:"30112"_1206736_1207206 FAT · japanese_ishii/30112.cha, line 667 · Jun 3;01
  4. soo da . %mov:"30112"_1214580_1215065 FAT · japanese_ishii/30112.cha, line 673 · Jun 3;01
  5. soo da . %mov:"30112"_1233083_1233568 FAT · japanese_ishii/30112.cha, line 685 · Jun 3;01
  6. soo da . %mov:"30112"_1300263_1300736 FAT · japanese_ishii/30112.cha, line 739 · Jun 3;01
  7. soo da . %mov:"30112"_1308700_1309199 FAT · japanese_ishii/30112.cha, line 745 · Jun 3;01
  8. soo da . %mov:"30112"_1539579_1540053 FAT · japanese_ishii/30112.cha, line 930 · Jun 3;01
  9. soo da yo . %mov:"30112"_2021436_2022025 FAT · japanese_ishii/30112.cha, line 1256 · Jun 3;01
  10. soo da yo . %mov:"30112"_2380702_2381324 FAT · japanese_ishii/30112.cha, line 1506 · Jun 3;01
  1. CHISeebu . %mov:"30112"_1191553_1191553
    CHIHankyuu . %mov:"30112"_1192421_1194030
    FAT*FAT: soo da . %mov:"30112"_1194030_1194908
    CHIkore na # Kintetsu . %mov:"30112"_1194908_1197690
    FATun . %mov:"30112"_1197690_1198162
  2. FATun . %mov:"30112"_1197690_1198162
    CHIKeehan . %mov:"30112"_1198162_1201925
    FAT*FAT: soo da . %mov:"30112"_1201925_1202503
    FATKeehan . %mov:"30112"_1202503_1203187
    CHIKe # Keehinkyuukoo . %mov:"30112"_1203187_1206736
  3. FATKeehan . %mov:"30112"_1202503_1203187
    CHIKe # Keehinkyuukoo . %mov:"30112"_1203187_1206736
    FAT*FAT: soo da . %mov:"30112"_1206736_1207206
    CHIanona # hai, nani [>] ? %mov:"30112"_1207206_1212231
    FATHanshin [<] Hanshin . %mov:"30112"_1207206_1212231
  4. CHIHanshin . %mov:"30112"_1212231_1212962
    CHIkore na # Hankyuu . %mov:"30112"_1212962_1214580
    FAT*FAT: soo da . %mov:"30112"_1214580_1215065
    CHIkono densha wa na, kuroi no densha . %mov:"30112"_1215065_1219138
    FATun . %mov:"30112"_1219138_1219433
  5. FATun . %mov:"30112"_1231356_1231855
    CHIkore aka ya de . %mov:"30112"_1231855_1233083
    FAT*FAT: soo da . %mov:"30112"_1233083_1233568
    FATaka ya na ? %mov:"30112"_1233568_1234085
    CHIaka . %mov:"30112"_1234085_1234602
  6. FATaka ya naa [>] . %mov:"30112"_1298413_1300263
    CHIKeehin [<] kyuukoo . %mov:"30112"_1298413_1300263
    FAT*FAT: soo da . %mov:"30112"_1300263_1300736
    CHIhai, xxx . %mov:"30112"_1300736_1303102
    FATHanshin . %mov:"30112"_1303102_1304348
  7. CHIHanshin . %mov:"30112"_1304348_1305312
    CHIHankyuu . %mov:"30112"_1305312_1308700
    FAT*FAT: soo da . %mov:"30112"_1308700_1309199
    CHIOdakyuu . %mov:"30112"_1309199_1312091
    FATchigau yan [>] . %mov:"30112"_1312091_1312927
  8. FATe ? %mov:"30112"_1537530_1538261
    CHIHokuto . %mov:"30112"_1538261_1539579
    FAT*FAT: soo da . %mov:"30112"_1539579_1540053
    CHIOotori . %mov:"30112"_1540053_1541462
    CHIare ? %mov:"30112"_1541462_1542089
  9. FATsoo, denki [<] +... %mov:"30112"_2017821_2020394
    CHIdensha ga . %mov:"30112"_2020394_2021436
    FAT*FAT: soo da yo . %mov:"30112"_2021436_2022025
    CHIdensha ga . %mov:"30112"_2022025_2022652
    CHIkore mo densha # tsuken nya de . %mov:"30112"_2022652_2025016
  10. CHIkore denki tsukeru . %mov:"30112"_2371894_2374805
    CHIyoru nattara naa denki tsuken no . %mov:"30112"_2374805_2380702
    FAT*FAT: soo da yo . %mov:"30112"_2380702_2381324
    FATdooshite ? %mov:"30112"_2381324_2382838
    CHIanona +... %mov:"30112"_2382838_2384220

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_ishii5.62
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/30112.chaJun 3;1.121,78010105.62

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. da10 · 100.0%