Universal POS, Detailed POS, NER, DEP

UPOS (Universal POS)

UPOS (Universal Part-of-Speech) tags are a core component of the Universal Dependencies (UD) project, designed to provide a standardized, fixed set of 17 categories that remain consistent across all human languages. Unlike language-specific systems (XPOS), which reflect the unique morphological intricacies of a single tongue, UPOS focuses on the functional role of a word. By stripping away language-specific "noise," UPOS allows researchers and developers to compare syntactic structures cross-linguistically and facilitates Cross-Lingual Transfer Learning—where an AI model trained on one language (like English) can apply its structural knowledge to another (like Romanian or Korean). It essentially serves as a "Lingua Franca" for computational linguistics, ensuring that a NOUN remains a NOUN whether the underlying grammar is agglutinative, fusional, or analytic.

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UPOS Universal Part-of-Speech
Group Tag Meaning Example
Open Class ADJ Adjective suuri, vanha, vihreä, käsittämätön, ensimmäinen
ADV Adverb erittäin, huomenna, alas, missä, tuolla
INTJ Interjection hys, au, bravo, hei
NOUN Noun (common) tyttö, kissa, puu, ilma, kauneus
PROPN Proper Noun Maria, Jussi, Lontoo, NATO, HBO
VERB Verb juosta, juoksee, juokseminen, syödä, söi, syöty
Closed Class ADP Adposition -ssa/-ssä, -lle, aikana
AUX Auxiliary on, on (tehty), tekee, pitäisi (tehdä)
CONJ Conjunction ja, tai, mutta (vanhentunut tagi)
CCONJ Coordinating Conjunction ja, tai, mutta
SCONJ Subordinating Conjunction jos, samalla kun, että
DET Determiner (ei artikkeleita)
NUM Numeral 1, 2017, yksi, seitsemänkymmentäseitsemän, MMXIV
PART Particle -n (genetiivi), ei
PRON Pronoun minä, sinä, hän, hän (nainen), itseni, itsensä, joku
Other PUNCT Punctuation ., (, ), ?, ]
SYM Symbol $, %, +, −, :), 🐻
X Other / Foreign sfpksdpsxmsa, ..., foreign words
SPACE Space newlines, tabs, extra spaces

XPOS (Detailed POS)

XPOS (Language-Specific Part-of-Speech) tagging offers a much higher level of granularity than the broader UPOS (Universal Part-of-Speech) system. While UPOS provides a standardized set of labels designed to work consistently across every language—ensuring that a NOUN in English is treated similarly to a NOUN in XPOS preserves the unique "linguistic DNA" of a specific language. It is the engine behind complex morphological analysis, allowing a system to distinguish not just that a word is a "Verb," but specifically that it is a "Third-Person, Singular, Past Tense, Passive Voice" verb. By capturing the deep grammatical details that UPOS omits for the sake of universality, XPOS enables the creation of translation tools and parsers that understand the precise inflectional logic of a specific culture and tongue.

In French, Spanish, Portuguese, Danish, Norwegian, Russian, Hebrew, Catalan, Finnish, Sanskrit, Thai and Ukrainian, a separate fine-grained XPOS tagset is not defined. Instead, these languages utilize UPOS with specific granularities stored within Morphological Features.

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General xpos Morphological Details
Group Category Label Meaning Example
Nominal Gender & Animacy Masc Masculine perro (dog)
Fem Feminine perra (female dog)
Neut Neuter ello (it/that)
Com Common estudiante
Hum Human persona, qui
Anim Animate (Living entity)
Inan Inanimate (Object)
Definite & Degree Def Definite le, la, el
Ind Indefinite un, une
Pos Positive degree bueno, bon
Cmp Comparative más, plus
Sup Superlative buenísimo
Nominal Number Sing Singular livre (book)
Plur Plural livres (books)
Nominal Case Nom Nominative yo, I
Acc Accusative me, lo
Dat Dative le, me
Gen Genitive (Possessive case)
Nominal NounType & NameType Class Classifier (NounType) ตัว (body/animal)
Giv Given Name (NameType) สมชาย (Somchai)
Sur Surname (NameType) ใจดี (Jaidee)
Geo Geographical (NameType) กรุงเทพฯ (Bangkok)
Nat Nationality (NameType) ไทย (Thai)
Com Company (NameType) กูเกิล (Google)
Verbal Mood & Aspect Ind Indicative yo hablo
Sub Subjunctive que yo hable
Imp Imperative ¡habla!
Cnd Conditional hablaría
Imp Imperfective hablaba
Perf Perfective hablé
Prog Progressive estoy hablando
Verbal Person & Politeness 1 First Person yo, nosotros
2 Second Person tú, vosotros
3 Third Person él, ella
Form Polite/Formal Usted, Vous
Infm Informal tú, toi
Verbal Tense Pres Present mange, eat
Past Past mangé, ate
Fut Future mangerai
Verbal VerbForm & Voice Fin Finite il court
Inf Infinitive courir, to run
Part Participle vu, visto
Ger Gerund corriendo
Act Active Voice veo (I see)
Pass Passive Voice soy visto
Lexical NumType Card Cardinal uno, deux
Ord Ordinal primero, 1er
Mult Multiplicative doble, triple
PronType Prs Personal yo, je
Dem Demonstrative este, celui
Rel Relative que, qui
Int Interrogative ¿quién?, qui?
Lexical Polarity & Poss Neg Negative no, pas
Yes Possessive mio, sien
Yes Reflexive se, me, te
Lexical PartType (Particles) Enp Ending Particle ครับ (krab), ค่ะ (kha)
Res Response Particle ใช่ (chai / yes)
Int Interrogative Particle ไหม (mai / ?)
Special Other Yes Foreign Word software, ad-hoc
Yes Abbreviation etc., adj.
Special Word Formation Yes (Prefix) Nominalizing Prefix การ- (kan-), ความ- (khwam-)
Rdp (Echo) Reduplicative เด็กๆ (dek-dek)

Dependency

The DEP (Syntactic Dependency) refers to the specific grammatical relationship between a "child" token and its "head" (parent) token. While primary labels (like nsubj or obj) describe the basic structure, attachments starting with a colon (:) provide fine-grained sub-type information. For instance, while nsubj identifies a subject, :pass refines this to show the subject is being acted upon (Passive Voice). Similarly, :nn (Noun Compound) or :assmod (Associative Modifier) help the parser distinguish between simple modifiers and complex ownership or compound relationships, allowing for a much deeper "logical" understanding of the sentence.

DEP Full Syntactic Dependency Labels
Category Label Meaning Example (Token in bold)
Core Arguments nsubj Nominal subject Elon syö.
csubj Clausal subject Se mitä hän teki oli väärin.
obj Direct object Minä näen kuun.
iobj Indirect object Hän antoi minulle lahjan.
ccomp Clausal complement (finite) Hän sanoi olevansa väsynyt.
xcomp Open clausal complement Haluan mennä.
Non-Core Dependents obl Oblique nominal Hän istui tuolilla.
vocative Vocative Jussi, tule tänne!
expl Expletive Tuolla on kissa.
dislocated Dislocated element Tuo mies, minä tunnen hänet.
advcl Adverbial clause modifier Lähdin hänen saavuttuaan.
advmod Adverbial modifier Juokse nopeasti.
discourse Discourse element No, en ole varma.
aux Auxiliary Minä voin nähdä.
cop Copula Hän on onnellinen.
mark Subordinating marker Tiedän, että sinä tiedät.
Nominal Dependents nmod Nominal modifier Auton ovi.
appos Appositional modifier Sam, ystäväni.
nummod Numeric modifier Seitsemän päivää.
acl Adjectival clause Suunnitelma voittaakseen.
amod Adjectival modifier Sininen taivas.
det Determiner Loppu.
case Case marking Ranskan kuningas.
fixed Fixed multiword expression Siitä huolimatta.
flat Flat multiword name Helsingin kaupunki.
compound Compound noun Puhelinkoppi.
list List element Puhelin, avaimet, lompakko.
Coordination conj Conjunct Leipää ja voita.
cc Coordinating conjunction Leipä ja voi.
Special Labels aux:pass Passive auxiliary Se varastettiin.
punct Punctuation Hei!
dep Unspecified dependency (Käytetään tuntemattomille linkeille)
ROOT Root of the sentence Minä söin lounaan.

Common Dependency Attachments (Sub-labels)
Attachment Full Name Explanation Example
:pass Passive Indicates a relationship in a passive voice construction. nsubj:pass (Ikkuna rikottiin)
:nn Noun Compound Indicates that a noun is modifying another noun in a compound structure. compound:nn (Puhelimen laturi)
:prep Prepositional Refines a modifier governed specifically by a preposition. nmod:prep (Kissa matolla)
:assmod Associative Modifier Common in Romanian/Baltic languages; shows nouns modifying other nouns. nmod:assmod (Isäni auto)
:poss Possessive Indicates ownership or a possessive relationship. nmod:poss (Koirani, Jussin hattu)
:relcl Relative Clause Identifies a clause that modifies a noun phrase. acl:relcl (Kirja, jonka luin)
:tmod Temporal Modifier A modifier specifically describing time or duration. nmod:tmod (Lähden tiistaina)
:prt Particle Used for phrasal verb particles. compound:prt (Luovuttaa, sulkea)
:rcomp Relative Complement Used for complements of relative clauses (common in Dutch). advcl:rcomp (Mies, joka lähti)
:flat Flat Modifier Used for multi-word expressions that don't have a clear internal head. flat:name (Presidentti Obama)

Named Entity Recognition

NER (Named Entity Recognition) is a Natural Language Processing (NLP) task that automatically identifies and categorizes key information (entities) in a text into predefined classes. In spaCy, the statistical model "looks" at the context of a word to determine if it refers to a person, an organization, a monetary value, or a specific date. This is crucial for extracting structured data from unstructured text, such as finding all the company names mentioned in a news article or identifying the dates of events in a history book.

Comparison Note: GPE vs. LOC
Determining whether a place is a GPE or a LOC depends on its political nature:
GPE (Geopolitical Entity): If the location has a government, specific laws, or human-defined administrative borders, it is labeled as a GPE. Examples include Seoul, Germany, the United Kingdom, and California.
LOC (Location): If the place is a natural physical feature or a broad geographic region without a singular governing body, it is labeled as a LOC. Examples include the Alps, the Pacific Ocean, the Middle East, and Mount Everest.

NER Named Entity Recognition
Label Meaning Example
🌍 GPE Geopolitical entity (countries, cities, states) Suomi, Helsinki, Ranska, Kalifornia
🏔️ LOC Non-political location (mountains, rivers) Tyyni valtameri, Mount Everest, Alpit
🏢 FAC Facility (buildings, airports, highways) Eduskuntatalo, Helsinki-Vantaan lentoasema, Burj Khalifa
👤 PERSON People (real or fictional) Linus Torvalds, Harry Potter, Jean Sibelius
🚩 NORP Nationalities, religious or political groups Suomalainen, buddhalainen, demokraatit, japanilainen
🏢 ORG Organizations (companies, institutions) Google, Yhdistyneet kansakundat, Nokia, FIFA
📅 DATE Absolute or relative dates 4. heinäkuuta, 2026, eilen, ensi viikolla
⌚ TIME Times smaller than a day 9:30 aamulla, auringonlasku, kymmenen minuuttia
🎊 EVENT Named events (wars, festivals) Toinen maailmansota, Ruisrock, Olympialaiset
💰 MONEY Monetary values, including unit 100 $, 5 miljoonaa euroa, £50
‱ PERCENT Percentage, including "%" 20 %, kahdeksankymmentä prosenttia, 0,5 %
⚖️ QUANTITY Measurements (weight, distance) 5 km, 50 kg, 30 neliömetriä
🔢 ORDINAL "First", "second", etc. ensimmäinen, 2., yhdeksäs
🔢 CARDINAL Numbers not classified elsewhere 10, tuhat, kolme
📦 PRODUCT Objects, vehicles, foods, etc. (not services) iPhone, Tesla Model S, Coca-Cola
🎨 WORK_OF_ART Titles of books, songs, etc. Mona Lisa, Bohemian Rhapsody, Hamlet
📜 LAW Named legal documents Suomen perustuslaki, Versailles'n rauhansopimus
🗣️ LANGUAGE Named languages Suomi, Python, englanti

Luonnollisen kielen käsittelyn esimerkki (NLP Example)

Jos analysoimme virkkeen „Googlen pääkonttori sijaitsee Helsingissä“ (Google is based in Helsinki), eri kerrokset näyttävät seuraavilta:

Lemma (Perusmuoto): "Google", "pääkonttori", "sijaita", "Helsinki"
UPOS (Yleiset sanaluokat): "PROPN(Erisnimi)", "NOUN(Substantiivi)", "VERB(Verbi)", "PROPN(Erisnimi)"
XPOS (Tarkat morfologiset piirteet): "N(Prop,Gen)", "N(Subst,Nom)", "V(Act,Ind,Pres)", "N(Prop,Ine)"
DEP (Syntaktiset riippuvuussuhteet): „Googlen“ on nmod:poss (genetiivimäärite) substantiiville „pääkonttori“. „pääkonttori“ on nsubj (subjekti) verbille „sijaitsee“, joka puolestaan on virkkeen ydin eli Root (virkejuuri). „Helsingissä“ on obl (adverbiaali).
NER (Nimettyjen entiteettien tunnistus): „Google“ on 🏢 ORG (Organisaatio), ja „Helsingissä“ on 🌍 GPE (Geopoliittinen alue/kaupunki).

Part-of-Speech for Main Languages

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