Thursday, December 15, 2016

Universal semantic molecules

The Learn These Words First lessons explain about 300 semantic molecules. These semantic molecules were identified by computer-aided analysis of paraphrased dictionary definitions.

Many of these same semantic molecules were independently identified by Cliff Goddard and Anna Wierzbicka. The following lists are adapted from their briefing paper for the "Global English, Minimal English" symposium (July 2015, ANU, Canberra).

Universal or near-universal semantic molecules
  • Defined in Learn These Words First lessons: animal (creature), around, back, bird, blood, bottom, burn (fire), centre (middle), child, day, drink, ear, eat, egg, eye, fish, flat, front, ground, grow, hair (fur), hand, hard, head, heavy, hold, laugh, leg, light, long, make, man, mouth, name (called), nose, play, quickly, round, sharp, sit, sky, sleep, smooth, straight, sun, sweet, top, tree, water, woman.
  • Not in the lessons: born, breast, dance, face, father, feather, finger, fingernail, husband, kill, lie, mother, night, on, sing, skin, slowly, soft, tail, tooth, wife, wing.
Semantic molecules found in many languages
  • Defined in Learn These Words First lessons: alcohol, boat, book, bread, building, buy, car, cat, cloth, cold, colour, country, day, doctor, dog, electricity, game, god, hot, house, line, machine, metal, milk, money, month, music, number, paper, read, room, salt, school, seed, sheep, soldier, sour, string (thread), wheel, write, year.
  • Not in the lessons: ball, bank, bed, china, church, city, clock, computer, corn, cow, dot, earth, engine, flour, glass, grass, horse, hospital, iron, leather, meat, mouse, nurse, oil, pig, plane, potato, rain, rice, road, sand, sea, soup, sugar, table, teacher, tobacco, train, village, week, wheat, wind, wire, wool.

Read more...

2 comments:

Peter said...

I find this extremely exciting. Can we make such dictionaries for other languages?!

LearnTheseWordsFirst said...

Hi, Peter.

I would also like to see this kind of dictionary for other languages, with definitions built up from semantic primes and molecules.

Some progress has been made on starting a version in Spanish.

I am interested in finding partners for developing such dictionaries. I have tools and task documentation for this. If interested, you can contact me (info@learnthesewordsfirst.com).

Best regards, David