diff --git a/concepticondata/conceptlists.tsv b/concepticondata/conceptlists.tsv index 46da661d..66af1e65 100644 --- a/concepticondata/conceptlists.tsv +++ b/concepticondata/conceptlists.tsv @@ -465,8 +465,9 @@ Ramanujan-2019-158 Ramanujan, Keerthi and Weekes, Brendan S. 2019 158 naming te Dunabeitia-2022-500 Duñabeitia, Jon Andoni and Baciero, Ana and Antoniou, Kyriakos and Antoniou, Mark and Ataman, Esra and Baus, Cristina and Ben-Shachar, Michal and Çağlar, Ozan Can and Chromý, Jan and Comesaña, Montserrat and Filip, Maroš and Filipović Đurđević, Dušica and Gillon Dowens, Margaret and Hatzidaki, Anna and Januška, Jiří and Jusoh, Zuraini and Kanj, Rama and Kim, Say Young and Kırkıcı, Bilal and Leminen, Alina and Lohndal, Terje and Yap, Ngee Thai and Renvall, Hanna and Rothman, Jason and Royle, Phaedra and Santesteban, Mikel and Sevilla, Yamila and Slioussar, Natalia and Vaughan-Evans, Awel and Wodniecka, Zofia and Wulff, Stefanie and Pliatsikas, Christos 2022 500 naming test, basic English American English, Australian English, Basque, British English, Catalan, Cypriot Greek, Czech, Finnish, French, German, Greek, Hebrew, Hungarian, Italian, Korean, Lebanese Arabic, Malay, Malaysian English, Mandarin Chinese, Belgium Dutch, Netherlands Dutch, Norwegian, Polish, Portuguese, Quebec French, Rioplatense Spanish, Russian, Serbian, Slovak, Spanish, Turkish, Welsh, Cantonese, Galician, Ukrainian global https://figshare.com/articles/dataset/Untitled_Item/19328939 Dunabeitia2022 This is a continuation of the [Dunabeitia et al. (2018)](:bib:Dunabeitia2018)dataset, now with 35 language varieties (v.8) (American English, Australian English, Basque, Belgium Dutch, British English, Catalan, Cypriot Greek, Czech, Finnish, French, German, Greek, Hebrew, Hungarian, Italian, Korean, Lebanese Arabic, Malay, Malaysian English, Mandarin Chinese, Netherlands Dutch, Norwegian, Polish, Portuguese, Quebec French, Rioplatense Spanish, Russian, Serbian, Slovak, Spanish, Turkish, Welsh, Cantonese, Galician and Ukrainian) in total and with familiarity ratings for 500 chosen picture stimuli of the original 750 (currently not available for all languages). Apart from Familiarity, we provide the following variables: Shannon Diversity Scores, Modal Response Percentage, 'I don't know' Response Percentage, Idiosyncratic Response Percentage. DellaRosa-2010-417 Della Rosa, Pasquale A. and Catricà, Eleonora and Vigliocco, Gabriella and Cappa, Stefano F. 2010 417 ratings English Italian https://doi.org/10.3758/BRM.42.4.1042 DellaRosa2010 This list of 417 Italian nouns was rated concerning mode of acquisition, concreteness, imageability, familiarity, age of acquisition, context availability, and abstractness. Ratings were given by 250 Italian native speakers. Ray-1889-78 Ray, Sidney H. 1889 78 English Oceanic languages https://zenodo.org/records/2403292 Ray1889 This list of 78 words was chosen to show the 'variation' in some Oceanic languages compared to Baki. 302-303 +Huisman-2025-255 Huisman, John L. A. and McLean, Bonnie and Wu, Chieh-Hsi 2025 255 English Japonic https://doi.org/10.1093/jole/lzaf002 Huisman2025 We compiled a new lexical dataset, NichiRyuuLex, using an expanded concept list that consolidates the Austronesian Basic Vocabulary Database list (Greenhill et al. 2008, as used by Lee and Hasegawa 2011), the 100-item and 200-item Swadesh lists (Swadesh 1952, 1955), and the Leipzig-Jakarta List (Tadmor 2009). The combined list comprised 266 concepts once cleaned, but was further adapted to better fit the Japonic lexicon, resulting in a total of 256 concepts. s4-8 Schauenburg-2015-858 Schauenburg, Gesche and Ambrasat, Jens and Schröder, Tobias and Von Scheve, Christian and Conrad, Markus 2015 858 ratings German German https://doi.org/10.3758/s13428-014-0494-7 Schauenburg2015 This list contains ratings of valence, arousal, potency, authority and community for 858 German words. Participants were native German speakers recruited through university mailing lists. 720-735 Janschewitz-2008-460 Janschewitz, Kristin 2008 460 ratings English English https://doi.org/10.3758/BRM.40.4.1065 Janschewitz2008 This list of 460 English taboo, emotionally valenced, and emotionally neutral words was rated for frequency, inappropriateness, valence, arousal, and imageability by 78 native-English-speaking college students. 1065-1074 Roest-2018-672 Roest, Sander A. and Visser, Tessa A. and Zeelenberg, René 2018 672 ratings English Dutch https://doi.org/10.3758/s13428-017-0890-x Roest2018 This list of 672 Dutch taboo, emotionally valenced, and emotionally neutral words was rated for valence, arousal, and personal as well as general tabooness by 78 psychology students. All participants were native speakers of Dutch. An additional GLOSS column was included here to ensure consistent formatting of the Dutch entries. Mappings were created with reference to the GLOSS column. 630-641 Soederholm-2013-420 Söderholm, Carina and Häyry, Emilia and Laine, Matti and Karrasch, Mira 2013 420 ratings English Finnish https://doi.org/10.1371/journal.pone.0072859 Soederholm2013 This list of 420 Finnish Nouns was rated for valence and arousal by 996 native Finnish speakers, aged 16 to 77. The results were presented in sum as well as split up by age and gender. For this purpose, four groups were created in the original study, which are encoded here as GROUP_01 (16-19 years old), GROUP_02 (20-30 years old), GROUP_03 (31-59 years old) and GROUP_04 (60-77 years old). The original dataset further includes surface and lemma frequencies, as well as bigram, initgram and fintrigram frequencies for each word, which were omitted here. e72859 -Eilola-2010-210 Eilola, Tiina M. and Havelka, Jelena 2010 210 ratings English, Finnish English, Finnish https://doi.org/10.3758/BRM.42.1.134 Eilola2010 This list of 210 words contains ratings of familiarity, valence, emotionality, offensiveness, and concreteness for Finnish and British English nouns, including 34 taboo words. Ratings were provided by native speakers of each language. For British English in particular, the aim of the study was to collect data comparable to the American English norms in the Affective Norms for English Words database [(Bradley & Lang, 1999)](:bib:Bradley1999). The present mappings were based on the English words. 134-140 \ No newline at end of file +Eilola-2010-210 Eilola, Tiina M. and Havelka, Jelena 2010 210 ratings English, Finnish English, Finnish https://doi.org/10.3758/BRM.42.1.134 Eilola2010 This list of 210 words contains ratings of familiarity, valence, emotionality, offensiveness, and concreteness for Finnish and British English nouns, including 34 taboo words. Ratings were provided by native speakers of each language. For British English in particular, the aim of the study was to collect data comparable to the American English norms in the Affective Norms for English Words database [(Bradley & Lang, 1999)](:bib:Bradley1999). The present mappings were based on the English words. 134-140 diff --git a/concepticondata/conceptlists/Huisman-2025-255.tsv b/concepticondata/conceptlists/Huisman-2025-255.tsv new file mode 100644 index 00000000..7b8a542c --- /dev/null +++ b/concepticondata/conceptlists/Huisman-2025-255.tsv @@ -0,0 +1,256 @@ +ID NUMBER ENGLISH KANJI KANA ROMAJI CONCEPTICON_ID CONCEPTICON_GLOSS +Huisman-2025-255-1 1 above 上 うえ ue 1741 ABOVE +Huisman-2025-255-2 2 all 皆 みんな minna 98 ALL +Huisman-2025-255-3 3 and と と to 1577 AND +Huisman-2025-255-4 4 animal 動物 どうぶつ doubutsu 619 ANIMAL +Huisman-2025-255-5 5 ant 蟻 あり ari 587 ANT +Huisman-2025-255-6 6 arm 腕 うで ude 1673 ARM +Huisman-2025-255-7 7 ash 灰 はい hai 646 ASH +Huisman-2025-255-8 8 at で で de 1461 AT +Huisman-2025-255-9 9 back 背中 せなか senaka 1291 BACK +Huisman-2025-255-10 10 bad 悪い わるい warui 1292 BAD +Huisman-2025-255-11 11 because から から kara 1157 BECAUSE +Huisman-2025-255-12 12 belly 腹 はら hara 1251 BELLY +Huisman-2025-255-13 13 below 下 した shita 1485 BELOW OR UNDER +Huisman-2025-255-14 14 big 大きい おおきい ookii 1202 BIG +Huisman-2025-255-15 15 bird 鳥 とり tori 937 BIRD +Huisman-2025-255-16 16 to bite 噛み付く かみつく kamitsuku 1403 BITE +Huisman-2025-255-17 17 bitter 苦い にがい nigai 887 BITTER +Huisman-2025-255-18 18 black 黒い くろい kuroi 163 BLACK +Huisman-2025-255-19 19 blood 血 ち chi 946 BLOOD +Huisman-2025-255-20 20 to blow 吹く ふく fuku 175 BLOW (OF WIND) +Huisman-2025-255-21 21 blunt 鈍い にぶい nibui 379 BLUNT +Huisman-2025-255-22 22 bone 骨 ほね hone 1394 BONE +Huisman-2025-255-23 23 branch 枝 えだ eda 1531 BRANCH +Huisman-2025-255-24 24 breast 乳 ちち chichi 1402 BREAST +Huisman-2025-255-25 25 breath 息 いき iki 1407 BREATHE +Huisman-2025-255-26 26 to burn 燃える もえる moeru 2102 BURN +Huisman-2025-255-27 27 to buy 買う かう kau 1869 BUY +Huisman-2025-255-28 28 to carry 運ぶ はこぶ hakobu 700 CARRY +Huisman-2025-255-29 29 to chew 噛む かむ kamu 321 CHEW +Huisman-2025-255-30 30 child 子 こ ko 2099 CHILD +Huisman-2025-255-31 31 to choose 選ぶ えらぶ erabu 1750 CHOOSE +Huisman-2025-255-32 32 to climb 登る のぼる noboru 1102 CLIMB +Huisman-2025-255-33 33 cloud 雲 くも kumo 1489 CLOUD +Huisman-2025-255-34 34 cold 寒い さむい samui 1287 COLD +Huisman-2025-255-35 35 to come 来る くる kuru 1446 COME +Huisman-2025-255-36 36 to cook 煮る にる niru 1100 COOK (SOMETHING) +Huisman-2025-255-37 37 correct 正しい ただしい tadashii 1725 CORRECT (RIGHT) +Huisman-2025-255-38 38 to count 数える かぞえる kazoeru 1420 COUNT +Huisman-2025-255-39 39 to cry 泣く なく naku 1839 CRY +Huisman-2025-255-40 40 to cut 切る きる kiru 1432 CUT +Huisman-2025-255-41 41 day 昼 ひる hiru 1225 DAY (NOT NIGHT) +Huisman-2025-255-42 42 to die 死ぬ しぬ shinu 1494 DIE +Huisman-2025-255-43 43 to dig 掘る ほる horu 1418 DIG +Huisman-2025-255-44 44 dirty 汚い きたない kitanai 1230 DIRTY +Huisman-2025-255-45 45 to do 為る する suru 813 DO +Huisman-2025-255-46 46 dog 犬 いぬ inu 2009 DOG +Huisman-2025-255-47 47 dream 夢 ゆめ yume 1920 DREAM (SOMETHING) +Huisman-2025-255-48 48 to drink 飲む のむ nomu 1401 DRINK +Huisman-2025-255-49 49 dry 乾く かわく kawaku 1398 DRY +Huisman-2025-255-50 50 dust 埃 ほこり hokori 2 DUST +Huisman-2025-255-51 51 ear 耳 みみ mimi 1247 EAR +Huisman-2025-255-52 52 earth, soil 土 つち tsuchi 1228 EARTH (SOIL) +Huisman-2025-255-53 53 to eat 食う くう kuu 1336 EAT +Huisman-2025-255-54 54 egg 卵 たまご tamago 744 EGG +Huisman-2025-255-55 55 eight 八つ やっつ yattsu 1705 EIGHT +Huisman-2025-255-56 56 eye 目 め me 1248 EYE +Huisman-2025-255-57 57 to fall 落ちる おちる ochiru 1280 FALL +Huisman-2025-255-58 58 far 遠い とおい tooi 1406 FAR +Huisman-2025-255-59 59 fat, grease 油 あぶら abura 323 FAT (ORGANIC SUBSTANCE) +Huisman-2025-255-60 60 father 父 ちち chichi 1217 FATHER +Huisman-2025-255-61 61 to fear 怖がる こわがる kowagaru 1419 FEAR (BE AFRAID) +Huisman-2025-255-62 62 feather 羽 はね hane 1201 FEATHER +Huisman-2025-255-63 63 few 少ない すくない sukunai 1242 FEW +Huisman-2025-255-64 64 to fight 戦う たたかう tatakau 1423 FIGHT +Huisman-2025-255-65 65 fire 火 ひ hi 221 FIRE +Huisman-2025-255-66 66 fish 魚 さかな sakana 227 FISH +Huisman-2025-255-67 67 five 五つ いつつ itsutsu 493 FIVE +Huisman-2025-255-68 68 flesh, meat 肉 にく niku 2615 FLESH OR MEAT +Huisman-2025-255-69 69 to float 浮かぶ うかぶ ukabu 1574 FLOAT +Huisman-2025-255-70 70 to flow 流れる ながれる nagareru 2003 FLOW +Huisman-2025-255-71 71 flower 花 はな hana 239 FLOWER +Huisman-2025-255-72 72 fly 蝿 はえ hae 1504 FLY (INSECT) +Huisman-2025-255-73 73 to fly 飛ぶ とぶ tobu 1441 FLY (MOVE THROUGH AIR) +Huisman-2025-255-74 74 fog 霧 きり kiri 249 FOG +Huisman-2025-255-75 75 forest 森 もり mori 420 FOREST +Huisman-2025-255-76 76 four 四つ よっつ yottsu 1500 FOUR +Huisman-2025-255-77 77 to freeze 凍る こおる kooru 1431 FREEZE +Huisman-2025-255-78 78 fruit 実 み mi 1507 FRUIT +Huisman-2025-255-79 79 full 一杯 いっぱい ippai 1429 FULL +Huisman-2025-255-80 80 to give 与える あたえる ataeru 1447 GIVE +Huisman-2025-255-81 81 to go 行く いく iku 695 GO +Huisman-2025-255-82 82 good 良い よい yoi 1035 GOOD +Huisman-2025-255-83 83 grass 草 くさ kusa 606 GRASS +Huisman-2025-255-84 84 green 青い あおい aoi 1425 GREEN +Huisman-2025-255-85 85 to grind 挽く ひく hiku 1033 GRIND +Huisman-2025-255-86 86 to grow 生える はえる haeru 479 GROW +Huisman-2025-255-87 87 guts 腸 はらわた harawata 1334 GUTS +Huisman-2025-255-88 88 hair 髪 かみ kami 1040 HAIR +Huisman-2025-255-89 89 hand 手 て te 1277 HAND +Huisman-2025-255-90 90 hard 硬い かたい katai 1884 HARD +Huisman-2025-255-91 91 head 頭 あたま atama 1256 HEAD +Huisman-2025-255-92 92 to hear 聞く きく kiku 1408 HEAR +Huisman-2025-255-93 93 heart 心臓 しんぞう shinzou 1223 HEART +Huisman-2025-255-94 94 heavy 重い おもい omoi 1210 HEAVY +Huisman-2025-255-95 95 here 此処 ここ k oko 136 HERE +Huisman-2025-255-96 96 to hide 隠れる かくれる kakureru 2486 HIDE +Huisman-2025-255-97 97 to hold 持つ もつ motsu 1448 HOLD +Huisman-2025-255-98 98 horn 角 つの tsuno 1393 HORN (ANATOMY) +Huisman-2025-255-99 99 house 家 いえ ie 1252 HOUSE +Huisman-2025-255-100 100 how? 如何 どう dou 1239 HOW +Huisman-2025-255-101 101 to hunt 狩る かる karu 1435 HUNT +Huisman-2025-255-102 102 husband 夫 おっと otto 1200 HUSBAND +Huisman-2025-255-103 103 I 私 わたし watashi 1209 I +Huisman-2025-255-104 104 ice 氷 こおり koori 617 ICE +Huisman-2025-255-105 105 if 若し もし moshi 1459 IF +Huisman-2025-255-106 106 inside 中 なか naka 1460 IN +Huisman-2025-255-107 107 to kill 殺す ころす korosu 1417 KILL +Huisman-2025-255-108 108 knee 膝 ひざ hiza 1371 KNEE +Huisman-2025-255-109 109 to know 知る しる shiru 1410 KNOW (SOMETHING) +Huisman-2025-255-110 110 to laugh 笑う わらう warau 1355 LAUGH +Huisman-2025-255-111 111 leaf 葉 は ha 628 LEAF +Huisman-2025-255-112 112 left 左 ひだり hidari 244 LEFT +Huisman-2025-255-113 113 leg 脚 あし ashi 1297 LEG +Huisman-2025-255-114 114 to lie down 寝る ねる neru 1411 LIE (REST) +Huisman-2025-255-115 115 lightning 稲光 いなびかり inabikari 1654 LIGHTNING +Huisman-2025-255-116 116 to live 生きる いきる ikiru 1422 BE ALIVE +Huisman-2025-255-117 117 liver 肝臓 かんぞう kanzou 1224 LIVER +Huisman-2025-255-118 118 long 長い ながい nagai 1203 LONG +Huisman-2025-255-119 119 louse 虱 しらみ shirami 1392 LOUSE +Huisman-2025-255-120 120 to make 作る つくる tsukuru 734 MAKE +Huisman-2025-255-121 121 man 男 おとこ otoko 1554 MAN +Huisman-2025-255-122 122 many 多い おおい ooi 1198 MANY +Huisman-2025-255-123 123 moon 月 つき tsuki 1313 MOON +Huisman-2025-255-124 124 mosquito 蚊 か ka 1509 MOSQUITO +Huisman-2025-255-125 125 mother 母 はは haha 1216 MOTHER +Huisman-2025-255-126 126 mountain 山 やま yama 639 MOUNTAIN +Huisman-2025-255-127 127 mouse 鼠 ねずみ nezumi 1491 MOUSE +Huisman-2025-255-128 128 mouth 口 くち kuchi 674 MOUTH +Huisman-2025-255-129 129 nail 爪 つめ tsume 1258 FINGERNAIL +Huisman-2025-255-130 130 name 名前 なまえ namae 1405 NAME +Huisman-2025-255-131 131 narrow 狭い せまい semai 1267 NARROW +Huisman-2025-255-132 132 navel 臍 へそ heso 1838 NAVEL +Huisman-2025-255-133 133 near 近い ちかい chikai 1942 NEAR +Huisman-2025-255-134 134 neck 首 くび kubi 1333 NECK +Huisman-2025-255-135 135 needle 針 はり hari 1382 NEEDLE (FOR SEWING) +Huisman-2025-255-136 136 new 新しい あたらしい atarashii 1231 NEW +Huisman-2025-255-137 137 night 夜 よる yoru 1233 NIGHT +Huisman-2025-255-138 138 nine 九つ ここのつ kokonotsu 1483 NINE +Huisman-2025-255-139 139 nose 鼻 はな hana 1221 NOSE +Huisman-2025-255-140 140 not ない ない nai 1240 NOT +Huisman-2025-255-141 141 old 古い ふるい furui 1229 OLD +Huisman-2025-255-142 142 one 一つ ひとつ hitotsu 1493 ONE +Huisman-2025-255-143 143 to open 開ける あける akeru 1156 OPEN +Huisman-2025-255-144 144 other 他 ほか hoka 197 OTHER +Huisman-2025-255-145 145 painful 痛い いたい itai 1129 PAINFUL +Huisman-2025-255-146 146 person 人 ひと hito 683 PERSON +Huisman-2025-255-147 147 to plant 植える うえる ueru 1486 PLANT (SOMETHING) +Huisman-2025-255-148 148 to play 遊ぶ あそぶ asobu 1413 PLAY +Huisman-2025-255-149 149 to pull 引く ひく hiku 1455 PULL +Huisman-2025-255-150 150 to push 押す おす osu 1452 PUSH +Huisman-2025-255-151 151 rain 雨 あめ ame 658 RAIN (PRECIPITATION) +Huisman-2025-255-152 152 red 赤い あかい akai 156 RED +Huisman-2025-255-153 153 right 右 みぎ migi 1019 RIGHT +Huisman-2025-255-154 154 river 川 かわ kawa 666 RIVER +Huisman-2025-255-155 155 road 道 みち michi 667 ROAD +Huisman-2025-255-156 156 roof 屋根 やね yane 769 ROOF +Huisman-2025-255-157 157 root 根 ね ne 670 ROOT +Huisman-2025-255-158 158 rope 綱 つな tsuna 1218 ROPE +Huisman-2025-255-159 159 to rot 腐る くさる kusaru 1728 ROTTEN +Huisman-2025-255-160 160 round 丸い まるい marui 1395 ROUND +Huisman-2025-255-161 161 to rub 擦る こする kosuru 1449 RUB +Huisman-2025-255-162 162 to run 走る はしる hashiru 1519 RUN +Huisman-2025-255-163 163 salt 塩 しお shio 1274 SALT +Huisman-2025-255-164 164 sand 砂 すな suna 671 SAND +Huisman-2025-255-165 165 to say 言う いう iu 1458 SAY +Huisman-2025-255-166 166 to scratch 掻く かく kaku 1436 SCRATCH +Huisman-2025-255-167 167 sea 海 うみ umi 1474 SEA +Huisman-2025-255-168 168 to see 見る みる miru 1409 SEE +Huisman-2025-255-169 169 seed 種 たね tane 714 SEED +Huisman-2025-255-170 170 seven 七つ ななつ nanatsu 1704 SEVEN +Huisman-2025-255-171 171 to sew 縫う ぬう nuu 1457 SEW +Huisman-2025-255-172 172 shade 影 かげ kage 1388 SHADE +Huisman-2025-255-173 173 sharp 鋭い するどい surudoi 1396 SHARP +Huisman-2025-255-174 174 to shoot 撃つ うつ utsu 1172 SHOOT +Huisman-2025-255-175 175 short 短い みじかい mijikai 1645 SHORT +Huisman-2025-255-176 176 shoulder 肩 かた kata 1482 SHOULDER +Huisman-2025-255-177 177 shy, ashamed 恥ずかしい はずかしい hazukashii 3805 SHY OR ASHAMED +Huisman-2025-255-178 178 sickness 病気 びょうき byouki 1847 SICK +Huisman-2025-255-179 179 to sing 歌う うたう utau 1261 SING +Huisman-2025-255-180 180 to sit 座る すわる suwaru 1416 SIT +Huisman-2025-255-181 181 six 六つ むっつ muttsu 1703 SIX +Huisman-2025-255-182 182 skin 皮 かわ kawa 763 SKIN +Huisman-2025-255-183 183 sky 空 そら sora 1732 SKY +Huisman-2025-255-184 184 to sleep 眠る ねむる nemuru 1585 SLEEP +Huisman-2025-255-185 185 small 小さい ちいさい chiisai 1246 SMALL +Huisman-2025-255-186 186 to smell 嗅ぐ かぐ kagu 1586 SMELL (PERCEIVE) +Huisman-2025-255-187 187 smoke 煙 けむり kemuri 778 SMOKE (EXHAUST) +Huisman-2025-255-188 188 smooth 滑らか なめらか nameraka 1234 SMOOTH +Huisman-2025-255-189 189 snake 蛇 へび hebi 730 SNAKE +Huisman-2025-255-190 190 snow 雪 ゆき yuki 784 SNOW +Huisman-2025-255-191 191 some 少し すこし sukoshi 1241 SOME +Huisman-2025-255-192 192 spider 蜘蛛 くも kumo 843 SPIDER +Huisman-2025-255-193 193 to spit 吐く はく haku 1440 SPIT +Huisman-2025-255-194 194 to split 分ける わける wakeru 1437 SPLIT +Huisman-2025-255-195 195 to squeeze 絞る しぼる shiboru 1414 SQUEEZE +Huisman-2025-255-196 196 to stab 刺す さす sasu 1434 STAB +Huisman-2025-255-197 197 to stand 立つ たつ tatsu 1442 STAND +Huisman-2025-255-198 198 star 星 ほし hoshi 1430 STAR +Huisman-2025-255-199 199 to steal 盗む ぬすむ nusumu 713 STEAL +Huisman-2025-255-200 200 stick 棒 ぼう bou 1295 STICK +Huisman-2025-255-201 201 stone 石 いし ishi 857 STONE +Huisman-2025-255-202 202 straight 真っ直ぐ まっすぐ massugu 1404 STRAIGHT +Huisman-2025-255-203 203 to suck 吸う すう suu 1421 SUCK +Huisman-2025-255-204 204 sun 太陽 たいよう taiyou 1343 SUN +Huisman-2025-255-205 205 sweet 甘い あまい amai 717 SWEET +Huisman-2025-255-206 206 to swell 膨れる ふくれる fukureru 1573 SWELL +Huisman-2025-255-207 207 to swim 泳ぐ およぐ oyogu 1439 SWIM +Huisman-2025-255-208 208 tail 尾 お o 1220 TAIL +Huisman-2025-255-209 209 to take 取る とる toru 1749 TAKE +Huisman-2025-255-210 210 ten 十 とお too 1515 TEN +Huisman-2025-255-211 211 that 彼れ あれ are 78 THAT +Huisman-2025-255-212 212 there 彼処 あそこ asoko 1937 THERE +Huisman-2025-255-213 213 thick (cylindrical) 太い ふとい futoi 1244 THICK +Huisman-2025-255-214 214 thick (2D) 厚い あつい atsui 1244 THICK +Huisman-2025-255-215 215 thin (cylindrical) 細い ほそい hosoi 2308 THIN +Huisman-2025-255-216 216 thin (2D) 薄い うすい usui 2308 THIN +Huisman-2025-255-217 217 to think 思う おもう omou 2271 THINK +Huisman-2025-255-218 218 this 此れ これ kore 1214 THIS +Huisman-2025-255-219 219 thou (pol.) 貴方 あなた anata 1215 THOU +Huisman-2025-255-220 220 thou (col.) お前 おまえ omae 1215 THOU +Huisman-2025-255-221 221 three 三つ みっつ mittsu 492 THREE +Huisman-2025-255-222 222 to throw 投げる なげる nageru 1456 THROW +Huisman-2025-255-223 223 thunder 雷 かみなり kaminari 1150 THUNDER +Huisman-2025-255-224 224 to tie 結ぶ むすぶ musubu 1917 TIE +Huisman-2025-255-225 225 tongue 舌 した shita 1205 TONGUE +Huisman-2025-255-226 226 tooth 歯 は ha 1380 TOOTH +Huisman-2025-255-227 227 tree 木 き ki 906 TREE +Huisman-2025-255-228 228 to turn 曲がる まがる magaru 1588 TURN +Huisman-2025-255-229 229 two 二つ ふたつ futatsu 1498 TWO +Huisman-2025-255-230 230 thigh 腿 もも momo 471 UPPER LEG (THIGH) +Huisman-2025-255-231 231 to walk 歩く あるく aruku 1443 WALK +Huisman-2025-255-232 232 warm 暖かい あたたかい atatakai 1232 WARM +Huisman-2025-255-233 233 to wash 洗う あらう arau 1453 WASH +Huisman-2025-255-234 234 water 水 みず mizu 948 WATER +Huisman-2025-255-235 235 we 私達 わたしたち watashitachi 1212 WE +Huisman-2025-255-236 236 wet 濡れる ぬれる nureru 1726 WET +Huisman-2025-255-237 237 what? 何 なに nani 1236 WHAT +Huisman-2025-255-238 238 when? 何時 いつ itsu 1238 WHEN +Huisman-2025-255-239 239 where? 何処 どこ doko 1237 WHERE +Huisman-2025-255-240 240 white 白い しろい shiroi 1335 WHITE +Huisman-2025-255-241 241 who? 誰 だれ dare 1235 WHO +Huisman-2025-255-242 242 wide 広い ひろい hiroi 1243 WIDE +Huisman-2025-255-243 243 wife 妻 つま tsuma 1199 WIFE +Huisman-2025-255-244 244 wind 風 かぜ kaze 960 WIND +Huisman-2025-255-245 245 to wipe 拭く ふく fuku 1454 WIPE +Huisman-2025-255-246 246 with と と to 1340 WITH +Huisman-2025-255-247 247 woman 女 おんな onna 962 WOMAN +Huisman-2025-255-248 248 to work 働く はたらく hataraku 1086 WORK (ACTIVITY) +Huisman-2025-255-249 249 worm 蚯蚓 みみず mimizu 1219 WORM +Huisman-2025-255-250 250 yawn 欠伸 あくび akubi 1028 YAWN +Huisman-2025-255-251 251 year 年 とし toshi 1226 YEAR +Huisman-2025-255-252 252 yellow 黄色い きいろい kiiroi 1424 YELLOW +Huisman-2025-255-253 253 yesterday 昨日 きのう kinou 1174 YESTERDAY +Huisman-2025-255-254 254 you (pol.) 貴方達 あなたたち anatatachi 1213 YOU +Huisman-2025-255-255 255 you (col.) お前ら おまえら omaera 1213 YOU diff --git a/concepticondata/conceptlists/Huisman-2025-255.tsv-metadata.json b/concepticondata/conceptlists/Huisman-2025-255.tsv-metadata.json new file mode 100644 index 00000000..5c0a47d5 --- /dev/null +++ b/concepticondata/conceptlists/Huisman-2025-255.tsv-metadata.json @@ -0,0 +1,66 @@ +{ + "@context": [ + "http://www.w3.org/ns/csvw", + { + "@language": "en" + } + ], + "dialect": { + "encoding": "utf-8-sig", + "delimiter": "\t", + "skipBlankRows": true + }, + "tables": [ + { + "tableSchema": { + "columns": [ + { + "datatype": { + "base": "string", + "format": "[a-zA-Z]+\\-[0-9]{4}\\-[0-9]+[a-z]?\\-[0-9]+[a-z]?$" + }, + "name": "ID" + }, + { + "datatype": { + "base": "string", + "format": "[0-9\\.]+([a-z\\\u2013]+)?$" + }, + "name": "NUMBER" + }, + { + "datatype": "string", + "name": "ENGLISH" + }, + { + "datatype": "string", + "name": "KANJI" + }, + { + "datatype": "string", + "name": "KANA" + }, + { + "datatype": "string", + "name": "ROMAJI" + }, + { + "datatype": { + "base": "integer", + "minimum": "1" + }, + "name": "CONCEPTICON_ID" + }, + { + "datatype": "string", + "name": "CONCEPTICON_GLOSS" + } + ], + "primaryKey": [ + "ID" + ] + }, + "url": "Huisman-2025-255.tsv" + } + ] +} \ No newline at end of file diff --git a/concepticondata/references/references.bib b/concepticondata/references/references.bib index d064adb8..c36a45b0 100644 --- a/concepticondata/references/references.bib +++ b/concepticondata/references/references.bib @@ -4859,15 +4859,27 @@ @Article{DellaRosa2010 Doi = {https://doi.org/10.3758/BRM.42.4.1042} } -@Article{Ray1889, - Url = {http://www.jstor.org/stable/2842429}, - Author = {Sidney H. Ray}, - Journal = {The Journal of the Anthropological Institute of Great Britain and Ireland}, - Pages = {295--304}, - Publisher = {[Royal Anthropological Institute of Great Britain and Ireland, Wiley]}, - Title = {Sketch of Api Grammar}, - Volume = {18}, - Year = {1889} +@article{Ray1889, + URL = {http://www.jstor.org/stable/2842429}, + author = {Sidney H. Ray}, + journal = {The Journal of the Anthropological Institute of Great Britain and Ireland}, + pages = {295--304}, + publisher = {[Royal Anthropological Institute of Great Britain and Ireland, Wiley]}, + title = {Sketch of Api Grammar}, + volume = {18}, + year = {1889} +} + +@article{Huisman2025, + title = {Combined lexical and phonotactic data resolve uncertainties in the evolutionary diversification of the Japonic language family}, + author = {Huisman, John L A and McLean, Bonnie and Wu, Chieh-Hsi}, + year = 2025, + journal = {Journal of Language Evolution}, + publisher = {Oxford University Press (OUP)}, + volume = 10, + number = 1, + doi = {10.1093/jole/lzaf002}, + url = {http://dx.doi.org/10.1093/jole/lzaf002} } @Article{Schauenburg2015, @@ -4932,4 +4944,4 @@ @Article{Eilola2010 pages = {134--140}, year = {2010}, Doi = {https://doi.org/10.3758/BRM.42.1.134} -} \ No newline at end of file +}