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authorhorntail <nktsrd@gmail.com>2012-07-13 15:33:00 +0530
committerhorntail <nktsrd@gmail.com>2012-07-13 15:33:00 +0530
commit253a7a23f71fd90e9f70a89b6a0aad6312ef4d40 (patch)
treeaade34552216e94820c49aab0f52ad94316b8ec7 /demo
parentf3dc110be252dc51d0ce938c4be655d4453de4cf (diff)
parent25261ae70442eabc1b26ddfbbd923b04a3ffb9f1 (diff)
downloadgnowsys-253a7a23f71fd90e9f70a89b6a0aad6312ef4d40.tar.gz
Merge remote-tracking branch 'gn/master'
Diffstat (limited to 'demo')
-rw-r--r--demo/Lexicon.pl114
-rw-r--r--demo/aFile.pl1043
2 files changed, 1157 insertions, 0 deletions
diff --git a/demo/Lexicon.pl b/demo/Lexicon.pl
new file mode 100644
index 00000000..173dfdc7
--- /dev/null
+++ b/demo/Lexicon.pl
@@ -0,0 +1,114 @@
+noun_sg(person, person, neutr).
+noun_pl(persons, person, neutr).
+noun_sg(human-being, human-being, neutr).
+adj_tr('parent-of', 'parent-of', of).
+adj_tr('child-of', 'child-of', of).
+noun_sg(common-noun, common-noun, neutr).
+noun_sg(simple-noun, simple-noun, neutr).
+noun_sg(noun, noun, neutr).
+noun_sg(college, college, neutr).
+noun_pl(colleges, college, neutr).
+noun_sg(university, university, neutr).
+noun_sg(human, human, neutr).
+noun_sg(people, people, neutr).
+pn_sg('Ananya', 'Ananya', neutr).
+pn_sg('Shruti', 'Shruti', neutr).
+pn_sg('User', 'User', neutr).
+pn_sg('Sancheeta', 'Sancheeta', neutr).
+pn_sg('Crunch', 'Crunch', neutr).
+adj_tr('located-in', 'located-in', in).
+prep(in, in).
+tv_finsg(contains, contain).
+adj_tr('spouse-of', 'spouse-of', of).
+prep(of, of).
+adj_tr('sibling-of', 'sibling-of', of).
+adj_tr('friend-of', 'friend-of', of).
+noun_sg(time, time, neutr).
+noun_sg(date, date, neutr).
+noun_sg(color, color, neutr).
+noun_sg(date-of-birth, date-of-birth, neutr).
+noun_sg(birth-date, birth-date, neutr).
+tv_finsg(comprises, comprise).
+pn_sg('India', 'India', neutr).
+pn_sg('Bharat', 'Bharat', neutr).
+pn_sg('Mumbai', 'Mumbai', neutr).
+pn_sg('Bombay', 'Bombay', neutr).
+noun_sg(place, place, neutr).
+noun_pl(places, place, neutr).
+noun_sg(location, location, neutr).
+noun_sg(man, man, neutr).
+noun_pl(men, man, neutr).
+noun_sg(male, male, neutr).
+pn_sg('Delhi', 'Delhi', neutr).
+pn_sg('Sugu', 'Sugu', neutr).
+noun_sg(proper-noun, proper-noun, neutr).
+noun_sg(population, population, neutr).
+noun_sg(laboratory, laboratory, neutr).
+noun_pl(laboratories, laboratory, neutr).
+noun_sg(lab, lab, neutr).
+noun_sg(field, field, neutr).
+noun_sg(profession, profession, neutr).
+noun_pl(professions, profession, neutr).
+noun_sg(career, career, neutr).
+noun_sg(teacher, teacher, neutr).
+noun_pl(teachers, teacher, neutr).
+noun_sg(professor, professor, neutr).
+noun_pl(universities, university, neutr).
+noun_sg(country, country, neutr).
+noun_pl(countries, country, neutr).
+noun_sg(nation, nation, neutr).
+noun_sg(city, city, neutr).
+noun_pl(cities, city, neutr).
+noun_sg(metropolis, metropolis, neutr).
+noun_sg(institution, institution, neutr).
+pn_sg('Milind-K', 'Milind-K', neutr).
+pn_sg('Engineering', 'Engineering', neutr).
+pn_sg('Computer-Science', 'Computer-Science', neutr).
+pn_sg('Information-Technology', 'Information-Technology', neutr).
+pn_sg('It', 'It', neutr).
+pn_sg('Vidyullata-Devmane', 'Vidyullata-Devmane', neutr).
+pn_sg('Abirami-Shivaprasad', 'Abirami-Shivaprasad', neutr).
+pn_sg('Mumbai-University', 'Mumbai-University', neutr).
+pn_sg('Shah-And-Anchor-Kutchhi-Engineering-College', 'Shah-And-Anchor-Kutchhi-Engineering-College', neutr).
+pn_sg('Sakec', 'Sakec', neutr).
+pn_sg('Vinit-Kotak', 'Vinit-Kotak', neutr).
+pn_sg('Kotak-Sir', 'Kotak-Sir', neutr).
+tv_finsg(teaches, teach).
+noun_sg(taught, taught, neutr).
+noun_pl(taughts, taught, neutr).
+adj_tr('taught-by', 'taught-by', by).
+prep(by, by).
+noun_sg(student, student, neutr).
+noun_pl(students, student, neutr).
+adj_tr('student-of', 'student-of', of).
+noun_sg(teacher, teacher, neutr).
+noun_pl(teachers, teacher, neutr).
+adj_tr('teacher-of', 'teacher-of', of).
+noun_sg(branch, branch, neutr).
+noun_pl(branches, branch, neutr).
+adj_tr('branch-of', 'branch-of', of).
+noun_sg(comprises, comprises, neutr).
+noun_pl(comprise, comprises, neutr).
+adj_tr('comprises-of', 'comprises-of', of).
+noun_sg(bigger, bigger, neutr).
+noun_pl(biggers, bigger, neutr).
+adj_tr('bigger-than', 'bigger-than', than).
+prep(than, than).
+noun_sg(smaller, smaller, neutr).
+noun_pl(smallers, smaller, neutr).
+adj_tr('smaller-than', 'smaller-than', than).
+noun_sg(located, located, neutr).
+noun_pl(locateds, located, neutr).
+noun_sg(spouse, spouse, neutr).
+noun_pl(spouses, spouse, neutr).
+noun_sg(sibling, sibling, neutr).
+noun_pl(siblings, sibling, neutr).
+noun_sg(friend, friend, neutr).
+noun_pl(friends, friend, neutr).
+noun_sg(parent, parent, neutr).
+noun_pl(parents, parent, neutr).
+noun_sg(child, child, neutr).
+noun_pl(children, child, neutr).
+adj_tr('husband-of', 'husband-of', of).
+adj_tr('wife-of', 'wife-of', of).
+adj_tr('trunk-of', 'trunk-of', of).
diff --git a/demo/aFile.pl b/demo/aFile.pl
new file mode 100644
index 00000000..daa4b53b
--- /dev/null
+++ b/demo/aFile.pl
@@ -0,0 +1,1043 @@
+noun_sg(person, person, neutr).
+noun_pl(persons, person, neutr).
+noun_sg(human-being, human-being, neutr).
+adj_tr('parent-of', 'parent-of', of).
+adj_tr('child-of', 'child-of', of).
+noun_sg(common-noun, common-noun, neutr).
+noun_sg(simple-noun, simple-noun, neutr).
+noun_sg(noun, noun, neutr).
+noun_sg(college, college, neutr).
+noun_pl(colleges, college, neutr).
+noun_sg(university, university, neutr).
+noun_sg(human, human, neutr).
+noun_sg(people, people, neutr).adj_itr(active, active).
+adj_itr(angry, angry).
+adj_itr(authenticated, authenticated).
+adj_itr(automatic, automatic).
+adj_itr(average, average).
+adj_itr(bad, bad).
+adj_itr(big, big).
+adj_itr(blue, blue).
+adj_itr(clean, clean).
+adj_itr(clever, clever).
+adj_itr(cold, cold).
+adj_itr(correct, correct).
+adj_itr(criminal, criminal).
+adj_itr(deep, deep).
+adj_itr(dirty, dirty).
+adj_itr(empty, empty).
+adj_itr(enormous, enormous).
+adj_itr(evil, evil).
+adj_itr(expensive, expensive).
+adj_itr(expired, expired).
+adj_itr(fair, fair).
+adj_itr(false, false).
+adj_itr(famous, famous).
+adj_itr(far, far).
+adj_itr(fast, fast).
+adj_itr(female, female).
+adj_itr(flat, flat).
+adj_itr(good, good).
+adj_itr(great, great).
+adj_itr(green, green).
+adj_itr(happy, happy).
+adj_itr(hard, hard).
+adj_itr(high, high).
+adj_itr(human, human).
+adj_itr(hungry, hungry).
+adj_itr(important, important).
+adj_itr(impossible, impossible).
+adj_itr(interesting, interesting).
+adj_itr(invalid, invalid).
+adj_itr(large, large).
+adj_itr(long, long).
+adj_itr(lost, lost).
+adj_itr(natural, natural).
+adj_itr(necessary, necessary).
+adj_itr(new, new).
+adj_itr(nice, nice).
+adj_itr(numb, numb).
+adj_itr(numeric, numeric).
+adj_itr(old, old).
+adj_itr(open, open).
+adj_itr(personal, personal).
+adj_itr(public, public).
+adj_itr(quick, quick).
+adj_itr(raw, raw).
+adj_itr(real, real).
+adj_itr(red, red).
+adj_itr(reflexive, reflexive).
+adj_itr(rich, rich).
+adj_itr(sad, sad).
+adj_itr(small, small).
+adj_itr(smart, smart).
+adj_itr(tall, tall).
+adj_itr(tired, tired).
+adj_itr(transitive, transitive).
+adj_itr(true, true).
+adj_itr(unnecessary, unnecessary).
+adj_itr(used, used).
+adj_itr(valid, valid).
+adj_itr(warm, warm).
+adj_itr(wet, wet).
+adj_itr(white, white).
+adj_itr(young, young).
+adj_itr_comp(angrier, angry).
+adj_itr_comp(worse, bad).
+adj_itr_comp(bigger, big).
+adj_itr_comp(bluer, blue).
+adj_itr_comp(cleaner, clean).
+adj_itr_comp(cleverer, clever).
+adj_itr_comp(colder, cold).
+adj_itr_comp(deeper, deep).
+adj_itr_comp(dirtier, dirty).
+adj_itr_comp(fairer, fair).
+adj_itr_comp(falser, false).
+adj_itr_comp(farther, far).
+adj_itr_comp(further, far).
+adj_itr_comp(faster, fast).
+adj_itr_comp(better, good).
+adj_itr_comp(greater, great).
+adj_itr_comp(greener, green).
+adj_itr_comp(happier, happy).
+adj_itr_comp(harder, hard).
+adj_itr_comp(higher, high).
+adj_itr_comp(larger, large).
+adj_itr_comp(longer, long).
+adj_itr_comp(newer, new).
+adj_itr_comp(nicer, nice).
+adj_itr_comp(number, numb).
+adj_itr_comp(elder, old).
+adj_itr_comp(older, old).
+adj_itr_comp(redder, red).
+adj_itr_comp(richer, rich).
+adj_itr_comp(sadder, sad).
+adj_itr_comp(smaller, small).
+adj_itr_comp(smarter, smart).
+adj_itr_comp(taller, tall).
+adj_itr_comp(truer, true).
+adj_itr_comp(warmer, warm).
+adj_itr_comp(wetter, wet).
+adj_itr_comp(whiter, white).
+adj_itr_comp(younger, young).
+adj_itr_sup(angriest, angry).
+adj_itr_sup(worst, bad).
+adj_itr_sup(biggest, big).
+adj_itr_sup(bluest, blue).
+adj_itr_sup(cleanest, clean).
+adj_itr_sup(cleverest, clever).
+adj_itr_sup(coldest, cold).
+adj_itr_sup(deepest, deep).
+adj_itr_sup(dirtiest, dirty).
+adj_itr_sup(fairest, fair).
+adj_itr_sup(falsest, false).
+adj_itr_sup(farthest, far).
+adj_itr_sup(furthest, far).
+adj_itr_sup(fastest, fast).
+adj_itr_sup(best, good).
+adj_itr_sup(greatest, great).
+adj_itr_sup(greenest, green).
+adj_itr_sup(happiest, happy).
+adj_itr_sup(hardest, hard).
+adj_itr_sup(highest, high).
+adj_itr_sup(largest, large).
+adj_itr_sup(longest, long).
+adj_itr_sup(newest, new).
+adj_itr_sup(nicest, nice).
+adj_itr_sup(numbest, numb).
+adj_itr_sup(eldest, old).
+adj_itr_sup(oldest, old).
+adj_itr_sup(reddest, red).
+adj_itr_sup(richest, rich).
+adj_itr_sup(saddest, sad).
+adj_itr_sup(smallest, small).
+adj_itr_sup(smartest, smart).
+adj_itr_sup(tallest, tall).
+adj_itr_sup(truest, true).
+adj_itr_sup(warmest, warm).
+adj_itr_sup(wettest, wet).
+adj_itr_sup(whitest, white).
+adj_itr_sup(youngest, young).
+adj_tr('located-in', 'located-in', in).
+adj_tr('registered-at', 'registered-at', at).
+adj_tr('fond-of', 'fond-of', of).
+adj_tr('interested-in', 'interested-in', in).
+adj_tr('mad-about', 'mad-about', about).
+adj_tr_comp('fonder-of', 'fond-of', of).
+adj_tr_comp('madder-about', 'mad-about', about).
+adj_tr_sup('fondest-of', 'fond-of', of).
+adj_tr_sup('maddest-about', 'mad-about', about).
+adv(always, always).
+adv(carefully, carefully).
+adv(easily, easily).
+adv(extremely, extremely).
+adv(fast, fast).
+adv(happily, happily).
+adv(hard, hard).
+adv(large, large).
+adv(long, long).
+adv(loudly, loudly).
+adv(manually, manually).
+adv(patiently, patiently).
+adv(quickly, quickly).
+adv(safely, safely).
+adv(silently, silently).
+adv(soundly, soundly).
+adv(speedily, speedily).
+adv(vaguely, vaguely).
+adv(wisely, wisely).
+adv(consistently, consistently).
+adv_comp(faster, fast).
+adv_comp(harder, hard).
+adv_sup(fastest, fast).
+adv_sup(hardest, hard).
+iv_finsg(ages, age).
+iv_finsg(appears, appear).
+iv_finsg(arrives, arrive).
+iv_finsg(barks, bark).
+iv_finsg(blinks, blink).
+iv_finsg(boils, boil).
+iv_finsg(collapses, collapse).
+iv_finsg(comes, come).
+iv_finsg(counts, count).
+iv_finsg(dances, dance).
+iv_finsg(drinks, drink).
+iv_finsg(drives, drive).
+iv_finsg(eats, eat).
+iv_finsg(exists, exist).
+iv_finsg(expires, expire).
+iv_finsg(flies, fly).
+iv_finsg(flows, flow).
+iv_finsg(goes, go).
+iv_finsg(happens, happen).
+iv_finsg(holds, hold).
+iv_finsg(hurries, hurry).
+iv_finsg(lives, live).
+iv_finsg(loses, lose).
+iv_finsg(moves, move).
+iv_finsg(plays, play).
+iv_finsg(reads, read).
+iv_finsg(runs, run).
+iv_finsg(scores, score).
+iv_finsg(sinks, sink).
+iv_finsg(sits, sit).
+iv_finsg(sleeps, sleep).
+iv_finsg(smells, smell).
+iv_finsg(smiles, smile).
+iv_finsg(snores, snore).
+iv_finsg(succeeds, succeed).
+iv_finsg(talks, talk).
+iv_finsg(waits, wait).
+iv_finsg(walks, walk).
+iv_finsg(wins, win).
+iv_finsg(works, work).
+iv_infpl(age, age).
+iv_infpl(appear, appear).
+iv_infpl(arrive, arrive).
+iv_infpl(bark, bark).
+iv_infpl(blink, blink).
+iv_infpl(boil, boil).
+iv_infpl(collapse, collapse).
+iv_infpl(come, come).
+iv_infpl(count, count).
+iv_infpl(dance, dance).
+iv_infpl(drink, drink).
+iv_infpl(drive, drive).
+iv_infpl(eat, eat).
+iv_infpl(exist, exist).
+iv_infpl(expire, expire).
+iv_infpl(fly, fly).
+iv_infpl(flow, flow).
+iv_infpl(go, go).
+iv_infpl(happen, happen).
+iv_infpl(hold, hold).
+iv_infpl(hurry, hurry).
+iv_infpl(live, live).
+iv_infpl(lose, lose).
+iv_infpl(move, move).
+iv_infpl(play, play).
+iv_infpl(read, read).
+iv_infpl(run, run).
+iv_infpl(score, score).
+iv_infpl(sink, sink).
+iv_infpl(sit, sit).
+iv_infpl(sleep, sleep).
+iv_infpl(smell, smell).
+iv_infpl(smile, smile).
+iv_infpl(snore, snore).
+iv_infpl(succeed, succeed).
+iv_infpl(talk, talk).
+iv_infpl(wait, wait).
+iv_infpl(walk, walk).
+iv_infpl(win, win).
+iv_infpl(work, work).
+noun_pl('zip-codes', 'zip-code', neutr).
+noun_pl(accounts, account, neutr).
+noun_pl(addresses, address, neutr).
+noun_pl(adjectives, adjective, neutr).
+noun_pl(ages, age, neutr).
+noun_pl(aircraft, aircraft, neutr).
+noun_pl(airlines, airline, neutr).
+noun_pl(ancestors, ancestor, human).
+noun_pl(animals, animal, neutr).
+noun_pl(apes, ape, neutr).
+noun_pl(apples, apple, neutr).
+noun_pl(approaches, approach, neutr).
+noun_pl(articles, article, neutr).
+noun_pl(assets, asset, neutr).
+noun_pl(balls, ball, neutr).
+noun_pl(banks, bank, neutr).
+noun_pl(beds, bed, neutr).
+noun_pl(beers, beer, neutr).
+noun_pl(bikes, bike, neutr).
+noun_pl(bodies, body, neutr).
+noun_pl(bones, bone, neutr).
+noun_pl(books, book, neutr).
+noun_pl(bosses, boss, human).
+noun_pl(boxes, box, neutr).
+noun_pl(boys, boy, masc).
+noun_pl(branches, branch, neutr).
+noun_pl(bretheren, brother, human).
+noun_pl(brothers, brother, masc).
+noun_pl(buttons, button, neutr).
+noun_pl(cakes, cake, neutr).
+noun_pl(cars, car, neutr).
+noun_pl(cards, card, neutr).
+noun_pl(cases, case, neutr).
+noun_pl(cats, cat, neutr).
+noun_pl(cheeses, cheese, neutr).
+noun_pl(children, child, human).
+noun_pl(circles, circle, neutr).
+noun_pl(cities, city, neutr).
+noun_pl(clerks, clerk, human).
+noun_pl(codes, code, neutr).
+noun_pl(colors, color, neutr).
+noun_pl(companies, company, human).
+noun_pl(computers, computer, neutr).
+noun_pl(contents, content, neutr).
+noun_pl(contracts, contract, neutr).
+noun_pl(countries, country, neutr).
+noun_pl(covers, cover, neutr).
+noun_pl(cows, cow, human).
+noun_pl(criminals, criminal, human).
+noun_pl(customers, customer, human).
+noun_pl(databases, database, neutr).
+noun_pl(dates, date, neutr).
+noun_pl(days, day, neutr).
+noun_pl(declarations, declaration, neutr).
+noun_pl(deliveries, delivery, neutr).
+noun_pl(descriptions, description, neutr).
+noun_pl(desks, desk, neutr).
+noun_pl(developments, development, neutr).
+noun_pl(displays, display, neutr).
+noun_pl(doctors, doctor, human).
+noun_pl(dogs, dog, neutr).
+noun_pl(donkeys, donkey, neutr).
+noun_pl(drinks, drink, neutr).
+noun_pl(eggs, egg, neutr).
+noun_pl(elements, element, neutr).
+noun_pl(equals, equal, neutr).
+noun_pl(errors, error, neutr).
+noun_pl(eyes, eye, neutr).
+noun_pl(farmers, farmer, human).
+noun_pl(fathers, father, masc).
+noun_pl(flats, flat, neutr).
+noun_pl(flowers, flower, neutr).
+noun_pl(flies, fly, neutr).
+noun_pl(forms, form, neutr).
+noun_pl(foxes, fox, neutr).
+noun_pl(fridges, fridge, neutr).
+noun_pl(friends, friend, human).
+noun_pl(gardens, garden, neutr).
+noun_pl(girls, girl, fem).
+noun_pl(goals, goal, neutr).
+noun_pl(groups, group, neutr).
+noun_pl(hands, hand, neutr).
+noun_pl(heroes, hero, human).
+noun_pl(horses, horse, neutr).
+noun_pl(hours, hour, neutr).
+noun_pl(houses, house, neutr).
+noun_pl(humans, human, human).
+noun_pl(institutions, institution, neutr).
+noun_pl(integers, integer, neutr).
+noun_pl(left_applicable_type, left_applicable_type, neutr).
+noun_pl(left_subjecttypes, left_subjecttype, neutr).
+noun_pl(lives, life, neutr).
+noun_pl(lifts, lift, neutr).
+noun_pl(lists, list, neutr).
+noun_pl(machines, machine, neutr).
+noun_pl(mails, mail, neutr).
+noun_pl(men, man, human).
+noun_pl(managers, manager, human).
+noun_pl(masters, master, human).
+noun_pl(members, member, human).
+noun_pl(messages, message, neutr).
+noun_pl(milks, milk, neutr).
+noun_pl(mothers, mother, fem).
+noun_pl(mice, mouse, neutr).
+noun_pl(names, name, neutr).
+noun_pl(numbers, number, neutr).
+noun_pl(objects, object, neutr).
+noun_pl(offers, offer, neutr).
+noun_pl(offices, office, neutr).
+noun_pl(owners, owner, human).
+noun_pl(papers, paper, neutr).
+noun_pl(parents, parent, human).
+noun_pl(parks, park, neutr).
+noun_pl(passwords, password, neutr).
+noun_pl(pencils, pencil, neutr).
+noun_pl(persons, person, human).
+noun_pl(pets, pet, neutr).
+noun_pl(pizzas, pizza, neutr).
+noun_pl(places, place, neutr).
+noun_pl(points, point, neutr).
+noun_pl(posterior_nodes, posterior_node, neutr).
+noun_pl(prices, price, neutr).
+noun_pl(prior_nodes, prior_node, neutr).
+noun_pl(processes, process, neutr).
+noun_pl(programs, program, neutr).
+noun_pl(propositions, proposition, neutr).
+noun_pl(rats, rat, neutr).
+noun_pl(reasons, reason, neutr).
+noun_pl(resources, resource, neutr).
+noun_pl(right_applicable_type, right_applicable_type, neutr).
+noun_pl(right_subjecttypes, right_subjecttype, neutr).
+noun_pl(rooms, room, neutr).
+noun_pl(schools, school, neutr).
+noun_pl(scores, score, neutr).
+noun_pl(screens, screen, neutr).
+noun_pl(sentences, sentence, neutr).
+noun_pl(services, service, neutr).
+noun_pl(sheep, sheep, neutr).
+noun_pl(signs, sign, neutr).
+noun_pl(sisters, sister, fem).
+noun_pl(slots, slot, neutr).
+noun_pl(spaces, space, neutr).
+noun_pl(statins, station, neutr).
+noun_pl(streets, street, neutr).
+noun_pl(subscriptions, subscription, neutr).
+noun_pl(subtypes, subtype, neutr).
+noun_pl(surfaces, surface, neutr).
+noun_pl(symmetricals, symmetrical, neutr).
+noun_pl(tables, table, neutr).
+noun_pl(talks, talk, neutr).
+noun_pl(terms, term, neutr).
+noun_pl(tests, test, neutr).
+noun_pl(texts, text, neutr).
+noun_pl(things, thing, neutr).
+noun_pl(titles, title, neutr).
+noun_pl(towns, town, neutr).
+noun_pl(trains, train, neutr).
+noun_pl(uncles, uncle, masc).
+noun_pl(users, user, human).
+noun_pl(values, value, neutr).
+noun_pl(vehicles, vehicle, neutr).
+noun_pl(villages, village, neutr).
+noun_pl(watches, watch, neutr).
+noun_pl(wives, wife, human).
+noun_pl(wines, wine, neutr).
+noun_pl(wolves, wolf, neutr).
+noun_pl(women, woman, human).
+noun_pl(works, work, neutr).
+noun_pl(years, year, neutr).
+noun_sg('zip-code', 'zip-code', neutr).
+noun_sg(account, account, neutr).
+noun_sg(address, address, neutr).
+noun_sg(adjective, adjective, neutr).
+noun_sg(age, age, neutr).
+noun_sg(aircraft, aircraft, neutr).
+noun_sg(airline, airline, neutr).
+noun_sg(ancestor, ancestor, human).
+noun_sg(animal, animal, neutr).
+noun_sg(ape, ape, neutr).
+noun_sg(apple, apple, neutr).
+noun_sg(approach, approach, neutr).
+noun_sg(article, article, neutr).
+noun_sg(asset, asset, neutr).
+noun_sg(ball, ball, neutr).
+noun_sg(bank, bank, neutr).
+noun_sg(bed, bed, neutr).
+noun_sg(beer, beer, neutr).
+noun_sg(bike, bike, neutr).
+noun_sg(body, body, neutr).
+noun_sg(bone, bone, neutr).
+noun_sg(book, book, neutr).
+noun_sg(boss, boss, human).
+noun_sg(box, box, neutr).
+noun_sg(boy, boy, masc).
+noun_sg(branch, branch, neutr).
+noun_sg(brother, brother, masc).
+noun_sg(button, button, neutr).
+noun_sg(cake, cake, neutr).
+noun_sg(car, car, neutr).
+noun_sg(card, card, neutr).
+noun_sg(case, case, neutr).
+noun_sg(cat, cat, neutr).
+noun_sg(cheese, cheese, neutr).
+noun_sg(child, child, human).
+noun_sg(circle, circle, neutr).
+noun_sg(city, city, neutr).
+noun_sg(clerk, clerk, human).
+noun_sg(code, code, neutr).
+noun_sg(color, color, neutr).
+noun_sg(company, company, human).
+noun_sg(computer, computer, neutr).
+noun_sg(content, content, neutr).
+noun_sg(contract, contract, neutr).
+noun_sg(country, country, neutr).
+noun_sg(cover, cover, neutr).
+noun_sg(cow, cow, human).
+noun_sg(criminal, criminal, human).
+noun_sg(customer, customer, human).
+noun_sg(database, database, neutr).
+noun_sg(date, date, neutr).
+noun_sg(day, day, neutr).
+noun_sg(declaration, declaration, neutr).
+noun_sg(delivery, delivery, neutr).
+noun_sg(description, description, neutr).
+noun_sg(desk, desk, neutr).
+noun_sg(development, development, neutr).
+noun_sg(display, display, neutr).
+noun_sg(doctor, doctor, human).
+noun_sg(dog, dog, neutr).
+noun_sg(donkey, donkey, neutr).
+noun_sg(drink, drink, neutr).
+noun_sg(egg, egg, neutr).
+noun_sg(element, element, neutr).
+noun_sg(equal, equal, neutr).
+noun_sg(error, error, neutr).
+noun_sg(eye, eye, neutr).
+noun_sg(farmer, farmer, human).
+noun_sg(father, father, masc).
+noun_sg(flat, flat, neutr).
+noun_sg(flower, flower, neutr).
+noun_sg(fly, fly, neutr).
+noun_sg(form, form, neutr).
+noun_sg(fox, fox, neutr).
+noun_sg(fridge, fridge, neutr).
+noun_sg(friend, friend, human).
+noun_sg(garden, garden, neutr).
+noun_sg(girl, girl, fem).
+noun_sg(goal, goal, neutr).
+noun_sg(group, group, neutr).
+noun_sg(hand, hand, neutr).
+noun_sg(hero, hero, human).
+noun_sg(horse, horse, neutr).
+noun_sg(hour, hour, neutr).
+noun_sg(house, house, neutr).
+noun_sg(human, human, human).
+noun_sg(id, id, neutr).
+noun_sg(institution, institution, neutr).
+noun_sg(integer, integer, neutr).
+noun_sg(inverse, inverse, neutr).
+noun_sg(left_applicable_type, left_applicable_type, neutr).
+noun_sg(left_subjecttype, left_subjecttype, neutr).
+noun_sg(life, life, neutr).
+noun_sg(lift, lift, neutr).
+noun_sg(list, list, neutr).
+noun_sg(machine, machine, neutr).
+noun_sg(mail, mail, neutr).
+noun_sg(man, man, masc).
+noun_sg(manager, manager, human).
+noun_sg(master, master, human).
+noun_sg(member, member, human).
+noun_sg(message, message, neutr).
+noun_sg(milk, milk, neutr).
+noun_sg(mother, mother, fem).
+noun_sg(mouse, mouse, neutr).
+noun_sg(name, name, neutr).
+noun_sg(number, number, neutr).
+noun_sg(object, object, neutr).
+noun_sg(object_type, object_type, neutr).
+noun_sg(offer, offer, neutr).
+noun_sg(office, office, neutr).
+noun_sg(owner, owner, human).
+noun_sg(paper, paper, neutr).
+noun_sg(parent, parent, human).
+noun_sg(park, park, neutr).
+noun_sg(password, password, neutr).
+noun_sg(pencil, pencil, neutr).
+noun_sg(person, person, human).
+noun_sg(pet, pet, neutr).
+noun_sg(pizza, pizza, neutr).
+noun_sg(place, place, neutr).
+noun_sg(plural, plural, neutr).
+noun_sg(point, point, neutr).
+noun_sg(posterior_node, posterior_node, neutr).
+noun_sg(price, price, neutr).
+noun_sg(prior_node, prior_node, neutr).
+noun_sg(process, process, neutr).
+noun_sg(program, program, neutr).
+noun_sg(proposition, proposition, neutr).
+noun_sg(rat, rat, neutr).
+noun_sg(reason, reason, neutr).
+noun_sg(resource, resource, neutr).
+noun_sg(right_applicable_type, right_applicable_type, neutr).
+noun_sg(right_subjecttype, right_subjecttype, neutr).
+noun_sg(room, room, neutr).
+noun_sg(school, school, neutr).
+noun_sg(score, score, neutr).
+noun_sg(screen, screen, neutr).
+noun_sg(sentence, sentence, neutr).
+noun_sg(service, service, neutr).
+noun_sg(sheep, sheep, neutr).
+noun_sg(sign, sign, neutr).
+noun_sg(sister, sister, fem).
+noun_sg(slot, slot, neutr).
+noun_sg(space, space, neutr).
+noun_sg(station, station, neutr).
+noun_sg(street, street, neutr).
+noun_sg(subscription, subscription, neutr).
+noun_sg(subtype, subtype, neutr).
+noun_sg(surface, surface, neutr).
+noun_sg(symmetrical, symmetrical, neutr).
+noun_sg(table, table, neutr).
+noun_sg(talk, talk, neutr).
+noun_sg(term, term, neutr).
+noun_sg(test, test, neutr).
+noun_sg(text, text, neutr).
+noun_sg(thing, thing, neutr).
+noun_sg(title, title, neutr).
+noun_sg(town, town, neutr).
+noun_sg(train, train, neutr).
+noun_sg(uncle, uncle, masc).
+noun_sg(user, user, human).
+noun_sg(value, value, neutr).
+noun_sg(vehicle, vehicle, neutr).
+noun_sg(village, village, neutr).
+noun_sg(watch, watch, neutr).
+noun_sg(wife, wife, fem).
+noun_sg(wine, wine, neutr).
+noun_sg(wolf, wolf, neutr).
+noun_sg(woman, woman, fem).
+noun_sg(work, work, neutr).
+noun_sg(year, year, neutr).
+pn_sg('Bill', 'Bill', masc).
+pn_sg('John', 'John', masc).
+pn_sg('Tom', 'Tom', masc).
+pn_sg('Mike', 'Mike', masc).
+pn_sg('Mary', 'Mary', fem).
+pn_sg('Sue', 'Sue', fem).
+pn_sg('Lara', 'Lara', fem).
+pn_sg('Jane', 'Jane', fem).
+pn_sg('Berlin', 'Berlin', neutr).
+pn_sg('Paris', 'Paris', neutr).
+pn_sg('Zurich', 'Zurich', neutr).
+pn_sg('Rome', 'Rome', neutr).
+pn_sg('Switzerland', 'Switzerland', neutr).
+pn_sg('Germany', 'Germany', neutr).
+pn_sg('France', 'France', neutr).
+pn_sg('Italy', 'Italy', neutr).
+pn_sg('Austria', 'Austria', neutr).
+pn_sg('Russia', 'Russia', neutr).
+pn_sg('Canada', 'Canada', neutr).
+tv_finsg('comes-from', 'come-from').
+tv_finsg('lives-at', 'live-at').
+tv_finsg('looks-at', 'look-at').
+tv_finsg('waits-for', 'wait-for').
+tv_finsg('works-at', 'work-at').
+tv_finsg(accepts, accept).
+tv_finsg(accesses, access).
+tv_finsg(assigns, assign).
+tv_finsg(awaits, await).
+tv_finsg(beats, beat).
+tv_finsg(believes, believe).
+tv_finsg(bites, bite).
+tv_finsg(blames, blame).
+tv_finsg(books, book).
+tv_finsg(brings, bring).
+tv_finsg(buys, buy).
+tv_finsg(cancels, cancel).
+tv_finsg(carries, carry).
+tv_finsg(charges, charge).
+tv_finsg(cleans, clean).
+tv_finsg(codes, code).
+tv_finsg(considers, consider).
+tv_finsg(contains, contain).
+tv_finsg(corrects, correct).
+tv_finsg(counts, count).
+tv_finsg(dates, date).
+tv_finsg(delivers, deliver).
+tv_finsg(displays, display).
+tv_finsg(downloads, download).
+tv_finsg(drinks, drink).
+tv_finsg(drives, drive).
+tv_finsg(eats, eat).
+tv_finsg(enters, enter).
+tv_finsg(fears, fear).
+tv_finsg(forms, form).
+tv_finsg(gets, get).
+tv_finsg(gives, give).
+tv_finsg(has, have).
+tv_finsg(hates, hate).
+tv_finsg(hears, hear).
+tv_finsg(hits, hit).
+tv_finsg(holds, hold).
+tv_finsg(inserts, insert).
+tv_finsg(invites, invite).
+tv_finsg(keeps, keep).
+tv_finsg(knows, know).
+tv_finsg(lifts, lift).
+tv_finsg(likes, like).
+tv_finsg(lists, list).
+tv_finsg(loses, lose).
+tv_finsg(loves, love).
+tv_finsg(masters, master).
+tv_finsg(meets, meet).
+tv_finsg(moves, move).
+tv_finsg(needs, need).
+tv_finsg(offers, offer).
+tv_finsg(opens, open).
+tv_finsg(owns, own).
+tv_finsg(pays, pay).
+tv_finsg(processes, process).
+tv_finsg(proves, prove).
+tv_finsg(reads, read).
+tv_finsg(rejects, reject).
+tv_finsg(replaces, replace).
+tv_finsg(runs, run).
+tv_finsg(says, say).
+tv_finsg(sees, see).
+tv_finsg(sells, sell).
+tv_finsg(sends, send).
+tv_finsg(sets, set).
+tv_finsg(steals, steal).
+tv_finsg(takes, take).
+tv_finsg(tests, test).
+tv_finsg(understands, understand).
+tv_finsg(uses, use).
+tv_finsg(visits, visit).
+tv_finsg(wants, want).
+tv_finsg(watches, watch).
+tv_finsg(wins, win).
+tv_finsg(writes, write).
+tv_infpl('come-from', 'come-from').
+tv_infpl('live-at', 'live-at').
+tv_infpl('look-at', 'look-at').
+tv_infpl('wait-for', 'wait-for').
+tv_infpl('work-at', 'work-at').
+tv_infpl(accept, accept).
+tv_infpl(access, access).
+tv_infpl(assign, assign).
+tv_infpl(await, await).
+tv_infpl(beat, beat).
+tv_infpl(believe, believe).
+tv_infpl(bite, bite).
+tv_infpl(blame, blame).
+tv_infpl(book, book).
+tv_infpl(bring, bring).
+tv_infpl(buy, buy).
+tv_infpl(cancel, cancel).
+tv_infpl(carry, carry).
+tv_infpl(charge, charge).
+tv_infpl(clean, clean).
+tv_infpl(code, code).
+tv_infpl(consider, consider).
+tv_infpl(contain, contain).
+tv_infpl(correct, correct).
+tv_infpl(count, count).
+tv_infpl(date, date).
+tv_infpl(deliver, deliver).
+tv_infpl(display, display).
+tv_infpl(download, download).
+tv_infpl(drink, drink).
+tv_infpl(drive, drive).
+tv_infpl(eat, eat).
+tv_infpl(enter, enter).
+tv_infpl(fear, fear).
+tv_infpl(form, form).
+tv_infpl(get, get).
+tv_infpl(give, give).
+tv_infpl(have, have).
+tv_infpl(hate, hate).
+tv_infpl(hear, hear).
+tv_infpl(hit, hit).
+tv_infpl(hold, hold).
+tv_infpl(insert, insert).
+tv_infpl(invite, invite).
+tv_infpl(keep, keep).
+tv_infpl(know, know).
+tv_infpl(lift, lift).
+tv_infpl(like, like).
+tv_infpl(list, list).
+tv_infpl(lose, lose).
+tv_infpl(love, love).
+tv_infpl(master, master).
+tv_infpl(meet, meet).
+tv_infpl(move, move).
+tv_infpl(need, need).
+tv_infpl(offer, offer).
+tv_infpl(open, open).
+tv_infpl(own, own).
+tv_infpl(pay, pay).
+tv_infpl(process, process).
+tv_infpl(prove, prove).
+tv_infpl(read, read).
+tv_infpl(reject, reject).
+tv_infpl(replace, replace).
+tv_infpl(run, run).
+tv_infpl(say, say).
+tv_infpl(see, see).
+tv_infpl(sell, sell).
+tv_infpl(send, send).
+tv_infpl(set, set).
+tv_infpl(steal, steal).
+tv_infpl(take, take).
+tv_infpl(test, test).
+tv_infpl(understand, understand).
+tv_infpl(use, use).
+tv_infpl(visit, visit).
+tv_infpl(want, want).
+tv_infpl(watch, watch).
+tv_infpl(win, win).
+tv_infpl(write, write).
+tv_pp(accepted, accept).
+tv_pp(assigned, assign).
+tv_pp(awaited, await).
+tv_pp(beaten, beat).
+tv_pp(believed, believe).
+tv_pp(bitten, bite).
+tv_pp(blamed, blame).
+tv_pp(booked, book).
+tv_pp(brought, bring).
+tv_pp(bought, buy).
+tv_pp(cancelled, cancel).
+tv_pp(carried, carry).
+tv_pp(charged, charge).
+tv_pp(cleaned, clean).
+tv_pp(coded, code).
+tv_pp(considered, consider).
+tv_pp(contained, contain).
+tv_pp(containing, contain).
+tv_pp(corrected, correct).
+tv_pp(counted, count).
+tv_pp(dated, date).
+tv_pp(delivered, deliver).
+tv_pp(displayed, display).
+tv_pp(downloaded, download).
+tv_pp(drunk, drink).
+tv_pp(driven, drive).
+tv_pp(eaten, eat).
+tv_pp(entered, enter).
+tv_pp(feared, fear).
+tv_pp(formed, form).
+tv_pp(got, get).
+tv_pp(gotten, get).
+tv_pp(given, give).
+tv_pp(had, have).
+tv_pp(hated, hate).
+tv_pp(heard, hear).
+tv_pp(hit, hit).
+tv_pp(held, hold).
+tv_pp(inserted, insert).
+tv_pp(invited, invite).
+tv_pp(kept, keep).
+tv_pp(known, know).
+tv_pp(lifted, lift).
+tv_pp(liked, like).
+tv_pp(listed, list).
+tv_pp(lost, lose).
+tv_pp(loved, love).
+tv_pp(mastered, master).
+tv_pp(met, meet).
+tv_pp(moved, move).
+tv_pp(needed, need).
+tv_pp(offered, offer).
+tv_pp(opened, open).
+tv_pp(owned, own).
+tv_pp(paid, pay).
+tv_pp(processed, process).
+tv_pp(proved, prove).
+tv_pp(proven, prove).
+tv_pp(read, read).
+tv_pp(rejected, reject).
+tv_pp(replaced, replace).
+tv_pp(run, run).
+tv_pp(said, say).
+tv_pp(seen, see).
+tv_pp(sold, sell).
+tv_pp(sent, send).
+tv_pp(set, set).
+tv_pp(stolen, steal).
+tv_pp(taken, take).
+tv_pp(tested, test).
+tv_pp(understood, understand).
+tv_pp(used, use).
+tv_pp(visited, visit).
+tv_pp(wanted, want).
+tv_pp(watched, watch).
+tv_pp(won, win).
+tv_pp(written, write).
+prep(from, from).
+prep(as, as).
+prep(about, about).
+prep(for, for).
+prep(among, among).
+prep(amongst, amongst).
+prep(like, like).
+prep(without, without).
+prep(despite, despite).
+prep(amid, amid).
+prep(aboard, aboard).
+prep(in, in).
+prep(at, at).
+prep(on, on).
+prep(over, over).
+prep(around, around).
+prep(between, between).
+prep(inside, inside).
+prep(behind, behind).
+prep(below, below).
+prep(beneath, beneath).
+prep(outside, outside).
+prep(upon, upon).
+prep(under, under).
+prep(above, above).
+prep(beside, beside).
+prep(near, near).
+prep(throughout, throughout).
+prep(before, before).
+prep(after, after).
+prep(within, within).
+prep(till, till).
+prep(until, until).
+prep(to, to).
+prep(into, into).
+prep(through, through).
+prep(toward, toward).
+prep(towards, towards).
+prep(onto, onto).
+prep(across, across).
+prep(off, off).
+prep(down, down).
+prep(up, up).
+prep(along, along).
+prep(past, past).
+prep(beyond, beyond).
+prep(out, out).
+prep(against, against).
+prep(alongside, alongside).
+prep(via, via).
+prep(with, with).
+prep(during, during).
+noun_sg(college, college, neutr).
+noun_pl(colleges, college, neutr).
+noun_sg(university, university, neutr).
+noun_sg(human-being, human-being, neutr).
+noun_sg(human, human, neutr).
+noun_sg(person, person, neutr).
+noun_pl(persons, person, neutr).
+noun_sg(human-being, human-being, neutr).
+pn_sg('Ananya', 'Ananya', neutr).
+pn_sg('Shruti', 'Shruti', neutr).
+pn_sg('User', 'User', neutr).
+adj_tr('parent-of', 'parent-of', of).
+adj_tr('child-of', 'child-of', of).
+noun_sg(common-noun, common-noun, neutr).
+noun_sg(simple-noun, simple-noun, neutr).
+noun_sg(noun, noun, neutr).
+noun_sg(date-of-birth, date-of-birth, neutr).
+noun_sg(birth-date, birth-date, neutr).
+noun_sg(people, people, neutr).
+pn_sg('Ananya', 'Ananya', neutr).
+pn_sg('Shruti', 'Shruti', neutr).
+pn_sg('User', 'User', neutr).
+pn_sg('Sancheeta', 'Sancheeta', neutr).
+pn_sg('Crunch', 'Crunch', neutr).
+adj_tr('located-in', 'located-in', in).
+prep(in, in).
+tv_finsg(contains, contain).
+adj_tr('spouse-of', 'spouse-of', of).
+prep(of, of).
+adj_tr('sibling-of', 'sibling-of', of).
+adj_tr('friend-of', 'friend-of', of).
+noun_sg(time, time, neutr).
+noun_sg(date, date, neutr).
+noun_sg(color, color, neutr).
+noun_sg(date-of-birth, date-of-birth, neutr).
+noun_sg(birth-date, birth-date, neutr).
+tv_finsg(comprises, comprise).
+pn_sg('India', 'India', neutr).
+pn_sg('Bharat', 'Bharat', neutr).
+pn_sg('Mumbai', 'Mumbai', neutr).
+pn_sg('Bombay', 'Bombay', neutr).
+noun_sg(place, place, neutr).
+noun_pl(places, place, neutr).
+noun_sg(location, location, neutr).
+noun_sg(man, man, neutr).
+noun_pl(men, man, neutr).
+noun_sg(male, male, neutr).
+pn_sg('Delhi', 'Delhi', neutr).
+pn_sg('Sugu', 'Sugu', neutr).
+noun_sg(proper-noun, proper-noun, neutr).
+noun_sg(population, population, neutr).
+noun_sg(laboratory, laboratory, neutr).
+noun_pl(laboratories, laboratory, neutr).
+noun_sg(lab, lab, neutr).
+noun_sg(field, field, neutr).
+noun_sg(profession, profession, neutr).
+noun_pl(professions, profession, neutr).
+noun_sg(career, career, neutr).
+noun_sg(teacher, teacher, neutr).
+noun_pl(teachers, teacher, neutr).
+noun_sg(professor, professor, neutr).
+noun_pl(universities, university, neutr).
+noun_sg(country, country, neutr).
+noun_pl(countries, country, neutr).
+noun_sg(nation, nation, neutr).
+noun_sg(test2, test2, neutr).
+noun_sg(city, city, neutr).
+noun_pl(cities, city, neutr).
+noun_sg(metropolis, metropolis, neutr).
+noun_sg(institution, institution, neutr).
+pn_sg('Milind-K', 'Milind-K', neutr).
+pn_sg('Engineering', 'Engineering', neutr).
+pn_sg('Computer-Science', 'Computer-Science', neutr).
+pn_sg('Information-Technology', 'Information-Technology', neutr).
+pn_sg('It', 'It', neutr).
+pn_sg('Vidyullata-Devmane', 'Vidyullata-Devmane', neutr).
+pn_sg('Abirami-Shivaprasad', 'Abirami-Shivaprasad', neutr).
+pn_sg('Mumbai-University', 'Mumbai-University', neutr).
+pn_sg('Shah-And-Anchor-Kutchhi-Engineering-College', 'Shah-And-Anchor-Kutchhi-Engineering-College', neutr).
+pn_sg('Sakec', 'Sakec', neutr).
+pn_sg('Vinit-Kotak', 'Vinit-Kotak', neutr).
+pn_sg('Kotak-Sir', 'Kotak-Sir', neutr).
+tv_finsg(teaches, teach).
+noun_sg(taught, taught, neutr).
+noun_pl(taughts, taught, neutr).
+adj_tr('taught-by', 'taught-by', by).
+prep(by, by).
+noun_sg(student, student, neutr).
+noun_pl(students, student, neutr).
+adj_tr('student-of', 'student-of', of).
+noun_sg(teacher, teacher, neutr).
+noun_pl(teachers, teacher, neutr).
+adj_tr('teacher-of', 'teacher-of', of).
+noun_sg(branch, branch, neutr).
+noun_pl(branches, branch, neutr).
+adj_tr('branch-of', 'branch-of', of).
+noun_sg(comprises, comprises, neutr).
+noun_pl(comprise, comprises, neutr).
+adj_tr('comprises-of', 'comprises-of', of).
+noun_sg(bigger, bigger, neutr).
+noun_pl(biggers, bigger, neutr).
+adj_tr('bigger-than', 'bigger-than', than).
+prep(than, than).
+noun_sg(smaller, smaller, neutr).
+noun_pl(smallers, smaller, neutr).
+adj_tr('smaller-than', 'smaller-than', than).
+noun_sg(located, located, neutr).
+noun_pl(locateds, located, neutr).
+noun_sg(spouse, spouse, neutr).
+noun_pl(spouses, spouse, neutr).
+noun_sg(sibling, sibling, neutr).
+noun_pl(siblings, sibling, neutr).
+noun_sg(friend, friend, neutr).
+noun_pl(friends, friend, neutr).
+noun_sg(parent, parent, neutr).
+noun_pl(parents, parent, neutr).
+noun_sg(child, child, neutr).
+noun_pl(children, child, neutr).
+adj_tr('husband-of', 'husband-of', of).
+adj_tr('wife-of', 'wife-of', of).
+adj_tr('trunk-of', 'trunk-of', of).