### Build and Display Hypernym Tree in Ruby

Source: https://context7.com/ged/ruby-wordnet/llms.txt

Provides a complete example of building and displaying a hierarchical tree of hypernyms for a given word. It traverses hypernyms with depth tracking and formats the output for readability.

```ruby
#!/usr/bin/env ruby
require 'wordnet'

word = ARGV[0] || 'dog'
lex = WordNet::Lexicon.new

# Look up all synsets for the word
origins = lex.lookup_synsets(word.to_sym)

origins.each.with_index do |syn, i|
  hypernyms = []

  # Traverse hypernyms with depth tracking
  syn.traverse(:hypernyms).with_depth.each do |hyper_syn, depth|
    indent = '  ' * depth
    hypernyms << "%s%s" % [indent, hyper_syn]
  end

  puts "\nHypernym tree for #{syn} (sense #{i + 1}):"
  puts hypernyms
  puts "Tree has #{hypernyms.length} synsets."
end

# Example output for 'dog':
# Hypernym tree for dog, domestic dog, Canis familiaris (noun): ... (sense 1):
#   canine, canid (noun): any of various fissiped mammals...
#     carnivore (noun): a terrestrial or aquatic flesh-eating mammal
#       placental, placental mammal, eutherian... (noun)
#         mammal, mammalian (noun): warm-blooded vertebrate...
#           vertebrate, craniate (noun): animals having a...
#             chordate (noun): any animal of the phylum Chordata...
#               animal, animate being, beast... (noun)
#                 organism, being (noun): a living thing...
#                   living thing, animate thing (noun)
#                     whole, unit (noun): an assemblage...
#                       object, physical object (noun)
#                         physical entity (noun)
#                           entity (noun): that which is...
# Tree has 13 synsets.
```

--------------------------------

### Navigating Word-Synset Relationships with Ruby WordNet Sense Objects

Source: https://context7.com/ged/ruby-wordnet/llms.txt

This example demonstrates how to use WordNet::Sense objects in Ruby to understand the link between a word and a synset. It shows how to retrieve senses from both synsets and words, access individual sense properties (like ID, number, key), and navigate to the associated Word and Synset objects. It also lists the various lexical links accessible from a sense object.

```ruby
require 'wordnet'
lex = WordNet::Lexicon.new

# Get senses from a synset
synset = lex[:fast]
senses = synset.senses
# => Array of Sense objects

# Or from a word
word = WordNet::Word.by_lemma('fast').first
senses = word.senses

# Access sense properties
sense = senses.first
sense.senseid     # Unique sense ID
sense.sensenum    # Sense number within synset
sense.sensekey    # Raw sense key from sources
sense.wordid      # ID of associated word
sense.synsetid    # ID of associated synset

# Navigate to associated objects
sense.word        # The Word object
sense.synset      # The Synset object

# Lexical links from this sense
sense.antonym             # Antonyms
sense.derivation          # Derivations
sense.also_see            # Also see
sense.domain_categories   # Domain categories
sense.domain_region       # Domain region
sense.domain_usage        # Domain usage
sense.participle          # Participles
sense.pertainym           # Pertainyms
sense.verb_group          # Verb groups
```

--------------------------------

### Low-Level Synset Queries by Part of Speech in Ruby

Source: https://context7.com/ged/ruby-wordnet/llms.txt

This example illustrates how to perform low-level queries on WordNet::Synset objects using Sequel dataset methods. It shows how to filter synsets by part of speech (nouns, verbs, adjectives, adverbs, adjective satellites) and combine these filters with Sequel's `like` and `limit` for complex searches. It also demonstrates accessing lookup tables for lexdomains, linktypes, and postype.

```ruby
require 'wordnet'
lex = WordNet::Lexicon.new

# Filter synsets by part of speech
WordNet::Synset.nouns
# => #<Sequel::SQLite::Dataset: "SELECT * FROM `synsets` WHERE (`pos` = 'n')">

WordNet::Synset.verbs
# => Dataset filtered to verbs (pos = 'v')

WordNet::Synset.adjectives
# => Dataset filtered to adjectives (pos = 'a')

WordNet::Synset.adverbs
# => Dataset filtered to adverbs (pos = 'r')

WordNet::Synset.adjective_satellites
# => Dataset filtered to adjective satellites (pos = 's')

# Combine with Sequel filters for complex queries
WordNet::Synset.nouns.filter { Sequel.like(:definition, '%vocal%') }.limit(5).all
# => [#<WordNet::Synset:0x... {100545344} 'vocal music' (noun)>, ...]

# Access lookup tables
WordNet::Synset.lexdomains.keys
# => ["adj.all", "adj.pert", "adv.all", "noun.Tops", "noun.act", "noun.animal", ...]

WordNet::Synset.linktypes.keys
# => [:hypernym, :hyponym, :antonym, :also, :attribute, :cause, ...]

WordNet::Synset.postype_table
# => {:n=>"noun", :v=>"verb", :a=>"adjective", :r=>"adverb", :s=>"adjective satellite"}
```

--------------------------------

### Create WordNet::Lexicon Instance

Source: https://context7.com/ged/ruby-wordnet/llms.txt

Demonstrates how to create an instance of the WordNet::Lexicon class to connect to the WordNet database. It supports using the default bundled database, a Sequel URI string, or a connection options hash. Requires Ruby >= 3.0 and Sequel >= 5.0.

```ruby
require 'wordnet'

# Using the default bundled database (requires wordnet-defaultdb gem)
lex = WordNet::Lexicon.new
# => #<WordNet::Lexicon:0x7fdbfac1a358 sqlite:.../wordnet31.sqlite>

# Using a Sequel URI string for PostgreSQL
lex = WordNet::Lexicon.new('postgres://localhost/wordnet31')
# => #<WordNet::Lexicon:0x7fd192a76668 postgres://localhost/wordnet31>

# Using a connection options hash
lex = WordNet::Lexicon.new(adapter: 'postgres', database: 'wordnet31', host: 'localhost')
# => #<WordNet::Lexicon:0x7fd192d374b0 postgres>
```

--------------------------------

### WordNet::Synset - Working with Synonym Sets in Ruby

Source: https://context7.com/ged/ruby-wordnet/llms.txt

Demonstrates how to retrieve and interact with WordNet::Synset objects in Ruby. This includes fetching synsets by word or ID, accessing lemmas, definitions, part of speech, lexical domains, and sample sentences. Requires the 'wordnet' gem.

```ruby
require 'wordnet'
lex = WordNet::Lexicon.new

# Get a synset
ss = lex[:first, 'time']
# => #<WordNet::Synset:0x7ffbf2643bb0 {115265518} 'commencement, first, get-go, offset,
#      outset, start, starting time, beginning, kickoff, showtime' (noun):
#      [noun.time] the time at which something is supposed to begin>

# Directly by ID (after lexicon is created)
ss = WordNet::Synset[115265518]

# Get words (lemmas) in the synset
ss.words.map(&:lemma)
# => ["commencement", "first", "get-go", "offset", "outset", "start",
#     "starting time", "beginning", "kickoff", "showtime"]

# Get wordlist as strings
ss.wordlist
# => ["commencement", "first", "get-go", "offset", "outset", "start", ...]

# Access definition and metadata
ss.definition
# => "the time at which something is supposed to begin"
ss.part_of_speech
# => "noun"
ss.lexical_domain
# => "noun.time"

# Get sample sentences
ss.samples
# => ["they got an early start", "she knew from the get-go that he was the man for her"]

# Stringify
ss.to_s
# => "commencement, first, get-go... (noun): [noun.time] the time at which something
#     is supposed to begin (hypernym: 1, hyponym: 4)"
```

--------------------------------

### WordNet::Lexicon - Creating a Lexicon Instance

Source: https://context7.com/ged/ruby-wordnet/llms.txt

The Lexicon class is the main entry point for accessing the WordNet database. It can connect using the default bundled database, a Sequel URI string, or a connection options hash.

```APIDOC
## WordNet::Lexicon - Creating a Lexicon Instance

### Description
The Lexicon class is the main entry point for accessing the WordNet database. It can connect using the default bundled database, a Sequel URI string, or a connection options hash.

### Method
`new`

### Endpoint
N/A (Class method)

### Parameters
#### Path Parameters
None

#### Query Parameters
None

#### Request Body
None

### Request Example
```ruby
require 'wordnet'

# Using the default bundled database (requires wordnet-defaultdb gem)
lex = WordNet::Lexicon.new

# Using a Sequel URI string for PostgreSQL
lex = WordNet::Lexicon.new('postgres://localhost/wordnet31')

# Using a connection options hash
lex = WordNet::Lexicon.new(adapter: 'postgres', database: 'wordnet31', host: 'localhost')
```

### Response
#### Success Response (Instance)
- **lex** (WordNet::Lexicon) - An instance of the Lexicon class connected to the WordNet database.

#### Response Example
```
#<WordNet::Lexicon:0x7fdbfac1a358 sqlite:.../wordnet31.sqlite>
```
```

--------------------------------

### WordNet::Synset - Exploring Semantic Links in Ruby

Source: https://context7.com/ged/ruby-wordnet/llms.txt

Illustrates how to navigate semantic relationships between WordNet::Synset objects using Ruby. This includes accessing hypernyms, hyponyms, meronyms, holonyms, and various domain categories. Requires the 'wordnet' gem.

--------------------------------

### Quick Synset Lookup with WordNet::Lexicon#[]

Source: https://context7.com/ged/ruby-wordnet/llms.txt

Shows how to use the bracket operator `[]` on a WordNet::Lexicon instance for quick synset lookups. Supports lookup by word, synset ID, word ID, and filtering by sense number, definition content (including regex), or part of speech. Returns the first matching synset.

```ruby
require 'wordnet'
lex = WordNet::Lexicon.new

# Basic lookup - returns first synset for the word
synset = lex[:language]
# => #<WordNet::Synset:0x7fdbfaa987a0 {105650820} 'language, speech' (noun):
#      [noun.cognition] the mental faculty or power of vocal communication>

# Lookup by synset ID (9+ digits)
synset = lex[115265518]
# => #<WordNet::Synset:0x7ffbf257e928 {115265518} 'commencement, first...' (noun)>

# Lookup by word ID (8 or fewer digits)
word = lex[12345]
# => #<WordNet::Word:0x... 'example'>

# Filter by sense number (1-indexed)
lex[:language, 2]
# => #<WordNet::Synset:0x7ffa78e74d78 {105808557} 'language, linguistic process' (noun)>

# Filter by word in definition
lex[:language, 'sounds']
# => #<WordNet::Synset:0x7ffa78ee01b8 {106282651} 'linguistic communication, language' (noun):
#      a systematic means of communicating by the use of sounds or conventional symbols>

# Filter by regex in definition (requires database with RLIKE support)
lex[:language, /name.*discipline/]
# => #<WordNet::Synset:0x7ffa78f235a8 {106304059} 'language, nomenclature, terminology' (noun)>

# Filter by part of speech
lex[:right, :noun]
# => #<WordNet::Synset:0x7ffa78f30b68 {100351000} 'right' (noun): a turn toward the side...>
lex[:right, :verb]
# => #<WordNet::Synset:0x7ffa78f09590 {200199659} 'correct, right, rectify' (verb)>
lex[:right, :adjective]
# => #<WordNet::Synset:0x7ffa78ea8060 {300631391} 'correct, right' (adjective)>
lex[:right, :adverb]
# => #<WordNet::Synset:0x7ffa78e5b2d8 {400032299} 'powerful, mightily...' (adverb)>

# Filter by lexical domain
lex.lookup_synsets(:right, 'verb.social')
# => [#<WordNet::Synset:0x7ffa78d817e0 {202519991} 'redress, compensate, correct, right' (verb):
#        make reparations or amends for>]
```

--------------------------------

### Direct Semantic Link Access with WordNet::SemanticLink in Ruby

Source: https://context7.com/ged/ruby-wordnet/llms.txt

Demonstrates how to access and inspect semantic links between synsets using WordNet::SemanticLink. It shows how to retrieve link type, origin, and target synsets, and how to filter links using a dataset.

```ruby
require 'wordnet'
lex = WordNet::Lexicon.new
synset = lex[:dog]

# Access semantic links directly
links = synset.semlinks
# => Array of SemanticLink objects

link = links.first
link.type       # Link type as Symbol (:hypernym, :hyponym, etc.)
link.typename   # Link type as String ("hypernym", "hyponym", etc.)
link.origin     # Origin synset
link.target     # Target synset

link.to_s
# => "hypernym: canine, canid (n)"

# Filter links by type using dataset
synset.semlinks_dataset.filter(linkid: 1).all
```

--------------------------------

### Multiple Synset Lookup with WordNet::Lexicon#lookup_synsets

Source: https://context7.com/ged/ruby-wordnet/llms.txt

Explains how to retrieve all synsets matching a given word using the `lookup_synsets` method on a WordNet::Lexicon instance. It allows for multiple filters, including ranges for senses and parts of speech, returning an array of all matching synsets.

```ruby
require 'wordnet'
lex = WordNet::Lexicon.new

# Get all synsets for a word
synsets = lex.lookup_synsets(:language)
# => [#<WordNet::Synset:0x7fdbfaac46c0 {105650820} 'language, speech' (noun)>, 
#     #<WordNet::Synset:0x7fdbfaac45a8 {105808557} 'language, linguistic process' (noun)>, 
#     #<WordNet::Synset:0x7fdbfaac4490 {106282651} 'language, linguistic communication' (noun)>, 
#     #<WordNet::Synset:0x7fdbfaac4378 {106304059} 'language, nomenclature, terminology' (noun)>, 
#     #<WordNet::Synset:0x7fdbfaac4260 {107051975} 'language, lyric, words' (noun)>, 
#     #<WordNet::Synset:0x7fdbfaac4120 {107109196} 'language, oral communication...' (noun)>]

# Get a range of senses
synsets = lex.lookup_synsets(:language, 1..3)
# => First three synsets for 'language'

# Combine multiple filters
synsets = lex.lookup_synsets(:run, :verb)
# => All verb synsets for 'run'
```

--------------------------------

### WordNet::Lexicon#[] - Quick Synset Lookup

Source: https://context7.com/ged/ruby-wordnet/llms.txt

The bracket operator provides quick lookup of synsets by word, with optional filters for sense number, part of speech, or definition matching. Returns the first matching synset.

```APIDOC
## WordNet::Lexicon#[] - Quick Synset Lookup

### Description
The bracket operator provides quick lookup of synsets by word, with optional filters for sense number, part of speech, or definition matching. Returns the first matching synset.

### Method
`[]`

### Endpoint
N/A (Instance method)

### Parameters
#### Path Parameters
None

#### Query Parameters
None

#### Request Body
None

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```

--------------------------------

### WordNet::Synset#| - Finding Common Hypernyms (Union) in Ruby

Source: https://context7.com/ged/ruby-wordnet/llms.txt

Demonstrates the use of the union operator (`|`) in Ruby for WordNet::Synset objects. This operator finds the least general synset that two synsets share as a common hypernym. Requires the 'wordnet' gem.

--------------------------------

### WordNet::Synset#traverse - Recursive Semantic Link Traversal in Ruby

Source: https://context7.com/ged/ruby-wordnet/llms.txt

Explains how to use the `traverse` method in Ruby for recursive iteration over semantic links within WordNet::Synset objects. This is useful for building hierarchies or finding common ancestors. Requires the 'wordnet' gem.