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A common noun is a noun used to classify an entity or concept rather than to provide an individual name. It can describe a concrete thing, an event or an abstraction. The contrast with a proper noun concerns grammatical use, beyond whether the referent happens to be unique in a particular conversation.^[ref]

In the village teacher, teacher remains a common noun even if the village has only one teacher. In two explosions, explosions names events and shows plural grammatical number; an event meaning does not make the form a verb. These examples separate semantic reference from lexical category.

For a text corpus using Universal Dependencies, the tag NOUN identifies this category while PROPN identifies proper nouns. Sentence-initial capitalization is therefore inadequate as the sole labeling rule. A repeatable annotation procedure considers context and the scheme's category definitions.

Grammatical agreement is a formal relationship in which the form of one linguistic element requires a corresponding form of another. Grammatical number can participate in this relationship, but the features expressed and the elements involved vary among languages. Agreement is a constraint on connected grammatical elements, rather than a requirement that adjacent words merely resemble each other.^[ref]

Compare The key to the cabinets is missing with The keys to the cabinet are missing. In these English examples, the verb form tracks the number of the subject's head noun, not the closest noun. An explicit model can assign Number=Sing to key and require the corresponding agreement form is. Changing the embedded noun cabinet to cabinets leaves that requirement intact. Such contrasts provide testable predictions for a proposed syntax and show why a rule based only on the nearest preceding word fails.

Grammatical number is a grammatical category expressing count-related distinctions, commonly singular and plural, through word forms or grammatical agreement. It is a feature of a linguistic expression, not simply the numerical size of the thing being described. Its categories do not always correspond directly to the count of real-world referents.^[ref]

The contrast boat/boats marks singular versus plural on a noun. Yet These scissors are blunt can describe one tool while using plural forms and plural grammatical agreement. Conversely, a committee can denote several people through a singular noun. An annotation should therefore record the grammatical feature separately from an investigator's count of objects. Some languages distinguish a dual category for exactly two, showing that the inventory of number categories is itself an empirical question.^[ref]

Inflection expresses grammatical distinctions through the forms of a lexeme, without normally creating a new lexical item. Grammatical number, grammatical tense and grammatical agreement can be expressed inflectionally, depending on the language. The distinctions and their overt expression must be kept separate: a grammatical meaning can instead be expressed by a separate word.^[ref]

In one boat and two boats, the ending marks a number contrast while both forms belong to the same lexeme. The pair walk and walked similarly contrasts grammatical forms of a verb. By comparison, deriving kindness from kind creates a new lexical item through derivational morphology. A computational description can store the base together with grammatical features, then predict its surface form. Irregular forms show why that prediction cannot always be reduced to concatenating one universal ending.

Linguistic annotation adds explicit analytical information to language data, such as word boundaries, part of speech, grammatical number or syntactic dependencies. The original text and the assigned labels are distinct: an annotation records an analysis under stated conventions, rather than being an uninterpreted observation.

In the sentence Birds fly, one analysis assigns the lemma forms bird and fly, the categories noun and verb, and a subject relationship connecting the first word to the second. Universal Dependencies represents such information in CoNLL-U, separating word forms, lemma forms, grammatical features and dependency fields.^[ref]

Keeping those layers separate permits a revised grammatical analysis without silently changing the underlying recording. It also makes disagreement inspectable: two annotators may agree on the text but assign different categories. A reusable annotated text corpus therefore needs its conventions and ambiguous cases documented alongside the labels.

A part of speech is a grammatical word category identified by patterns of distribution, combination and, where relevant, inflection. Categories such as noun, verb and adjective help describe what an expression can do in a construction. Meaning is evidence, but a rule equating a category with one broad kind of meaning is insufficient.

For example, record is a noun in the record and a verb in record the result. The same spelling can therefore require different labels when its context changes. A computational annotation scheme must state whether it assigns categories to lexical entries, individual occurrences or both.^[ref]

Universal Dependencies separates a broad part of speech label from additional grammatical features. Two forms can share the label NOUN while differing in grammatical number. Keeping category and features distinct makes an analysis of a text corpus reproducible without multiplying category labels for every possible form.

A pronoun is a member of a grammatical category whose uses commonly occupy nominal positions while their interpretation is recovered from context. A previous noun phrase can supply that context, but is not required: I can identify the current speaker without repeating an earlier name.^[ref]

Consider The robot moved beside the box. It stopped. Under a stipulated reading where both objects are possible referents, the spelling it alone does not select one. Grammatical number and syntax can constrain the possibilities while leaving a contextual decision unresolved. The category of the expression and the identity of its referent are distinct annotation questions.

The border with determiners also depends on the adopted scheme. Universal Dependencies documents PRON and DET using characteristic distribution and language-specific conventions. An explicit inventory helps compare text corpus annotations without assuming that a familiar label always covers exactly the same words in every language.

A syntactic head is the element treated as central to a construction under a specified structural analysis. It can determine grammatical properties or which other elements may occur. Headedness therefore concerns relationships within a construction, beyond which word seems most informative in the conversation.^[ref]

In a conventional noun-headed analysis of the small boxes, boxes heads the noun phrase. The head's plural grammatical number helps explain the grammatical agreement in The small boxes are ready. Changing small to heavy changes the description without changing that number requirement.

In a dependency representation, a head also provides the attachment point for syntactic dependencies. A reproducible analysis states its conventions: different grammatical frameworks can choose different heads for some constructions. The success of a representation depends on the patterns it explains and predicts, not solely on whether its links form a mechanically valid rooted tree.

Universal Dependencies is a framework for comparable grammatical annotation across languages. It combines part of speech labels, morphological features and typed syntactic dependencies, while allowing documented language-specific choices. The framework supplies a common representation rather than a claim that all languages express every distinction identically.^[ref]

For Birds fly, a compatible analysis identifies Birds as a noun with plural grammatical number, gives it the lemma bird, and links it to fly with the subject relation nsubj. These are distinct annotation decisions: changing a lexical convention need not require changing the sentence's dependency structure.

Basic dependencies form a rooted tree, whereas an enhanced representation can contain additional relations and need not remain a tree.^[ref] Keeping the layers explicit helps compare parser output and manually analyzed text corpus resources. A valid interchange file and an empirically justified grammatical analysis remain different achievements.