Japanese Classifier Lexicon #
@cite{aikhenvald-2000} @cite{downing-1996}
Typed classifier entries for Japanese (josūshi 助数詞).
Japanese numeral classifiers are suffixed to the numeral (e.g. san-biki 三匹 "three-CL:small.animal"). Selection is semantically motivated, encoding animacy, shape (with 1D/2D/3D dimensionality), and function.
The inventory covers all 27 classifiers from @cite{downing-1996} Table 1.1 (Core Inventory), plus selected classifiers from Table 1.2 (Extended Inventory): 竿 sao, 羽 wa, 振 furi, 膳 zen, 脚 kyaku, 杯 hai. Shape-based classifiers are tagged by dimensionality per Ch. 5's analysis.
人 nin — people (neutral register). Encodes: humanness.
Equations
- Fragments.Japanese.Classifiers.nin = { form := "人", gloss := "person", semantics := [Core.NounCategorization.SemanticParameter.humanness] }
Instances For
名 mei — people (formal/honorific register). Encodes: humanness + social status.
Equations
- One or more equations did not get rendered due to their size.
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匹 hiki — small/medium animals (dogs, cats, insects, fish). Encodes: animacy + size.
Equations
- Fragments.Japanese.Classifiers.hiki = { form := "匹", gloss := "small.animal", semantics := [Core.NounCategorization.SemanticParameter.animacy, Core.NounCategorization.SemanticParameter.size] }
Instances For
頭 tou — large animals (horses, cattle, elephants). Encodes: animacy + large size.
Equations
- Fragments.Japanese.Classifiers.tou = { form := "頭", gloss := "large.animal", semantics := [Core.NounCategorization.SemanticParameter.animacy, Core.NounCategorization.SemanticParameter.size] }
Instances For
羽 wa — birds (and rabbits, by cultural extension). Encodes: animacy (avian). Extended inventory (@cite{downing-1996} Table 1.2).
Equations
- Fragments.Japanese.Classifiers.wa = { form := "羽", gloss := "bird", semantics := [Core.NounCategorization.SemanticParameter.animacy] }
Instances For
本 hon' — long, thin objects (pens, bottles, flowers, umbrellas); also items following a trajectory (TV programs, telephone calls). Encodes: shape (1D, elongated).
Equations
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枚 mai — flat, thin objects (paper, stamps, plates, shirts). Encodes: shape (2D, flat).
Equations
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個 ko — small, round/compact objects (eggs, apples, stones). General inanimate classifier for some speakers. Encodes: shape (3D, compact).
Equations
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竿 sao — poles, long rod-like objects. Encodes: shape (1D, rigid pole). Extended inventory (@cite{downing-1996} Table 1.2).
Equations
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冊 satsu — bound volumes (books, magazines). Encodes: shape (2D, flat bound).
Equations
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粒 tsubu — small, grainlike objects (grains of rice, grapes, gems, pills, drops of liquid). Encodes: shape (3D, granular).
Equations
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台 dai — furniture, machines, land and air vehicles. Encodes: function (mechanical/vehicular).
Equations
- Fragments.Japanese.Classifiers.dai = { form := "台", gloss := "machine/vehicle", semantics := [Core.NounCategorization.SemanticParameter.function] }
Instances For
軒 ken — buildings or parts of buildings acting in some functional capacity, such as a home or shop. Encodes: function (shelter/structure).
Equations
- Fragments.Japanese.Classifiers.ken = { form := "軒", gloss := "building", semantics := [Core.NounCategorization.SemanticParameter.function] }
Instances For
件 ken' — incidents, occurrences (robberies, fires, accidents). Encodes: function (event/incident). Note: homophonous with 軒 ken (buildings) but distinct kanji.
Equations
- Fragments.Japanese.Classifiers.ken' = { form := "件", gloss := "incident", semantics := [Core.NounCategorization.SemanticParameter.function] }
Instances For
機 ki — airplanes (other air vehicles such as helicopters, rockets, UFOs). Encodes: function (powered flight/engine).
Equations
- Fragments.Japanese.Classifiers.ki = { form := "機", gloss := "air.vehicle", semantics := [Core.NounCategorization.SemanticParameter.function] }
Instances For
句 ku — haiku (17-syllable poems), other short poems. Encodes: function (poetic form).
Equations
- Fragments.Japanese.Classifiers.ku = { form := "句", gloss := "poem", semantics := [Core.NounCategorization.SemanticParameter.function] }
Instances For
曲 kyoku — pieces of music. Encodes: function (musical work).
Equations
- Fragments.Japanese.Classifiers.kyoku = { form := "曲", gloss := "music.piece", semantics := [Core.NounCategorization.SemanticParameter.function] }
Instances For
問 mon — questions, problems. Encodes: function (intellectual item).
Equations
- Fragments.Japanese.Classifiers.mon = { form := "問", gloss := "question", semantics := [Core.NounCategorization.SemanticParameter.function] }
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棟 mune — buildings (whole structures with roofs). Encodes: function (roofed structure). Note: overlaps with 軒 ken (buildings as functional spaces).
Equations
- Fragments.Japanese.Classifiers.mune = { form := "棟", gloss := "building.roof", semantics := [Core.NounCategorization.SemanticParameter.function] }
Instances For
隻 seki — large boats, ships. Encodes: function (large maritime vessel).
Equations
- Fragments.Japanese.Classifiers.seki = { form := "隻", gloss := "large.boat", semantics := [Core.NounCategorization.SemanticParameter.function] }
Instances For
足 soku — pairs of footwear (shoes, socks, boots). Encodes: function (worn on feet).
Equations
- Fragments.Japanese.Classifiers.soku = { form := "足", gloss := "footwear.pair", semantics := [Core.NounCategorization.SemanticParameter.function] }
Instances For
艘 soo — small boats. Encodes: function (small maritime vessel).
Equations
- Fragments.Japanese.Classifiers.soo = { form := "艘", gloss := "small.boat", semantics := [Core.NounCategorization.SemanticParameter.function] }
Instances For
点 ten — points in a score, items in an inventory, works of art. Encodes: function (scoring/inventory/art).
Equations
- Fragments.Japanese.Classifiers.ten = { form := "点", gloss := "point/item", semantics := [Core.NounCategorization.SemanticParameter.function] }
Instances For
通り toori — methods, opinions, ways. Encodes: function (abstract method/manner).
Equations
- Fragments.Japanese.Classifiers.toori = { form := "通り", gloss := "method/way", semantics := [Core.NounCategorization.SemanticParameter.function] }
Instances For
通 tsuu — letters, postcards, documents; telephone calls. Encodes: function (passed/transmitted).
Equations
- Fragments.Japanese.Classifiers.tsuu = { form := "通", gloss := "letter/document", semantics := [Core.NounCategorization.SemanticParameter.function] }
Instances For
振 furi — swords, bladed weapons. Encodes: function (swung/shaken). Extended inventory (@cite{downing-1996} Table 1.2).
Equations
- Fragments.Japanese.Classifiers.furi = { form := "振", gloss := "sword", semantics := [Core.NounCategorization.SemanticParameter.function] }
Instances For
膳 zen — trays, pairs of chopsticks. Encodes: function (meal service). Extended inventory (@cite{downing-1996} Table 1.2).
Equations
- Fragments.Japanese.Classifiers.zen = { form := "膳", gloss := "tray/chopsticks", semantics := [Core.NounCategorization.SemanticParameter.function] }
Instances For
脚 kyaku — legged furniture (chairs, desks, tables). Encodes: function (legged). Extended inventory (@cite{downing-1996} Table 1.2).
Equations
- Fragments.Japanese.Classifiers.kyaku = { form := "脚", gloss := "legged.furniture", semantics := [Core.NounCategorization.SemanticParameter.function] }
Instances For
株 kabu — rooted plants, roots, bulbs; shares of stock. Encodes: function (rooted/planted).
Equations
- Fragments.Japanese.Classifiers.kabu = { form := "株", gloss := "rooted.plant", semantics := [Core.NounCategorization.SemanticParameter.function] }
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つ tsu — general/default counter (native Japanese numerals). Semantically bleached default.
Equations
- Fragments.Japanese.Classifiers.tsu = { form := "つ", gloss := "general", isDefault := true }
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杯 hai — cupfuls, glassfuls (mensural). Measures quantity by container volume. Extended inventory (@cite{downing-1996} Table 1.2).
Equations
- Fragments.Japanese.Classifiers.hai = { form := "杯", gloss := "cupful", semantics := [Core.NounCategorization.SemanticParameter.quanta], isMensural := true }
Instances For
食 shoku — meals, servings of food (mensural). Measures quantity by meal portions.
Equations
- Fragments.Japanese.Classifiers.shoku = { form := "食", gloss := "meal", semantics := [Core.NounCategorization.SemanticParameter.quanta], isMensural := true }
Instances For
滴 teki — drops of liquid (mensural). Measures quantity by drops.
Equations
- Fragments.Japanese.Classifiers.teki = { form := "滴", gloss := "drop", semantics := [Core.NounCategorization.SemanticParameter.quanta], isMensural := true }
Instances For
Complete inventory: 27 core classifiers (@cite{downing-1996} Table 1.1)
- 6 extended classifiers (Table 1.2: sao, wa, furi, zen, kyaku, hai).
Equations
- One or more equations did not get rendered due to their size.
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The 27 core classifiers from @cite{downing-1996} Table 1.1.
Equations
- One or more equations did not get rendered due to their size.
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匹 encodes animacy.
人 encodes humanness.
名 encodes humanness and social status.
Shape-based classifiers carry dimensionality tags.
All three shape dimensions are attested in the inventory.
杯 is mensural; all other classifiers are sortal.
The core inventory has exactly 27 classifiers.
The full inventory has 33 classifiers (27 core + 6 extended).
All non-default sortal classifiers have at least one semantic parameter.