Research any topic before you write.

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

Yhc

The York Haskell Compiler (Yhc) is a no longer maintained open source bytecode compiler for the functional programming language Haskell; it primarily targets the Haskell '98 standard. It is one of the four main Haskell compilers (behind GHC, Hugs and nhc98). Yhc is based on the nhc98 Haskell compiler, and is intended eventually to be a more portable…

Standards & 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 Yhc. 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

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

Yhc

Nodes15
Edges14
Triples2
Avg. degree1.87
Density0.133333
Components1

How this topic connects Entity context

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

Yhc

Top relations

related to External links · 2
Yhc → Archived, Wayback Machine

Important terminology Word statistics

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

Important terminology

haskell compiler nhc98 york features bytecode functional ghc hugs portable hat darcs longer maintained open source programming language primarily targets

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
Yhcrelated to External linksArchived0.60section
Yhcrelated to External linksWayback Machine0.60section

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.