Research any topic before you write.

Find related topics. | Discover entities. | See connections. | Build a topical map.

Partitiv

Partitiv (zkratka PART nebo PTV) je mluvnický pád, který označuje „část celku“, „neurčité množství něčeho“. Je typický pro baltofinské jazyky, jako např. finština nebo sámština. V češtině, polštině a dalších jazycích se vyskytuje také tzv. partitivní genitiv (př.: nabrat vody).

Finština, Sámština & Overview

Use the mouse wheel or two fingers (on touchscreens) to zoom in and out of the map.

Research this topic

Explore the main themes, entities and connections around Partitiv. Start with the topic map, then use the sections below for research and deeper semantic analysis.

Explore this topic

Start with a few of the strongest sections from the source topic. These are research directions, not a list of keywords you must use.

Topics to explore

Browse the full topic structure. Each item opens a new analysis centered on that subject.

Overview

Finština

Sámština

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

Map overview Semantic statistics

Partitiv

Nodes22
Edges21
Triples21
Avg. degree1.91
Density0.090909
Components1

How this topic connects Entity context

See the strongest relationship patterns around the current topic before diving into the raw triples.

Partitiv

Top relations

related to Finština · 17
Partitiv → Dobrý, Hyvää, Hän, Je, Juon, Luin, Minulla, Má, Můžu, Nemám, Piji, Po, Používá, Přečetl, Při, Saanko, Ve
related to Ruština · 2
Partitiv → Jako, Například
related to Sámština · 2
Partitiv → Používá, Ve

Important terminology Word statistics

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

genitiv např finština sámština češtině kirjaa používá knihu jako tzv číslovkách postpozicích předmětu skoltské genitivem polštině tvoří pomocí koncovky

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
Partitivrelated to FinštinaVe0.60section
Partitivrelated to Finština0.60section
Partitivrelated to FinštinaPo0.60section
Partitivrelated to FinštinaPoužívá0.60section
Partitivrelated to FinštinaHyvää0.60section
Partitivrelated to FinštinaDobrý0.60section
Partitivrelated to FinštinaMinulla0.60section
Partitivrelated to FinštinaNemám0.60section
Partitivrelated to FinštinaJuon0.60section
Partitivrelated to FinštinaPiji0.60section
Partitivrelated to FinštinaLuin0.60section
Partitivrelated to FinštinaPřečetl0.60section

Related concept clusters Concept neighborhoods

These clusters group vocabulary that occurs around closely connected concepts in the source material.

    Connections between topic areas Semantic bridges

    Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.

    Min side: 3
    For writers, content strategists, SEOs, marketers and creators — from quick topic research to advanced semantic analysis.