Generate Antonyms

• Short Description: Generate antonyms
  
  
• Full Description:

  This flow retrieves all antonyms of the input from the antonym table in the database.

  The results are sorted in the order of a case sensitive alphabetical, then EUI.

  The detail information (-m option) of the antonym records shows the type, negation, domain and source of antonyms. The format is:
  |FACT|Key (lcNoPunc)|Antonym-1|EUI-1|Antonym-2|EUI 2|Category|Type|Negation|Domain|Source

  where:

  • key (lcNoPunc): the lowercase and no punctuation of Antonym 1, used as key for database SQL query
  • Antonym-1: the first antonym (base form) of the aPair
  • EUI-1: the associated EUI for antonym-1
  • Antonym-2: the second antonym (base form) of the aPair
  • EUI-2: the associated EUI for antonym-2
  • Category: the POS of aPair. Antonyms must have the same POS. Possible values include:

    adj

    noun

    verb

    adv

    prep

    modal

    aux

    pron

    det

    conj

  • Type: type of antonyms by their meaning in relation to negation, as described bellows:

    Value	Name	Criteria	Description	Examples
    B	bounded antonyms	Ant-1 = not Ant-2 & Ant-2 = not Ant-1	represents two endpoints on a domain	dead|alive|adj, false|true|adj, closed|open|adj, with|without|prep, asleep|awake|adj, irregularly|regularly|adv, emergency|nonemergency|noun, exclude|include|verb
    UB	unbounded antonyms	Ant-1 ≠ not Ant-2 & Ant-2 ≠ not Ant-1	in the sense that extreme values never reach an endpoint	narrow|wide|adj, light|dark|adj, low|high|noun, sad|happy|adj, rich|poor|adj, careful|careless|adj, first|last|adv, form|destroy|verb
    AB1	asymmetric bounded antonyms	Ant-1 = not Ant-2 & Ant-2 ≠ not Ant-1, where Ant-1 is the negative/endpoint	Ant-1 is either a negative word and/or endpoint on a scale and Ant-2 is a non-endpoint/negative word	bad|good|adj, asleep|alert|adj, bumpless|bumpy|adj, chilly|warm|adj, colorless|colorful|adj, exactly|approximately|adv, silence|noise|noun, disbelieve|believe|verb
    AB2	asymmetric bounded antonyms	Ant-2 = not Ant-1 & Ant-1 ≠ not Ant-2, where Ant-2 is the negative/endpoint	Ant-2 is either a negative word and/or endpoint on a scale and Ant-1 is a non-endpoint/negative word	good|bad|adj, alert|asleep|adj, bumpy|bumpless|adj, warm|chilly|adj, colorful|colorless|adj, approximately|exactly|adj, noise|silence|noun, believe|disbelieve|verb

  • Negation: specifies the negation of an aPair

    Value	Description	Examples
    N1	true/strict negative, ant1 is the negative antonym	exclude|include|verb, false|true|adj, lack|plenty|noun, never|always|adv
    N2	true/strict negative, ant2 is the negative antonym	include|exclude|verb, true|false|adj, plenty|lack|noun, always|never|adv
    BN1	broadly negative, ant1 is the negative antonym	failure|success|noun, fake|real|adj, rarely|usually|adv, repel|attract|verb
    BN2	broadly negative, ant2 is the negative antonym	success|failure|noun, real|fake|adj, usually|rarely|adv, attract|repel|verb
    O	Otherwise	ask|reply|verb, relaxed|upset|adj, slow|quick|adv, student|teacher|noun

  • Domain: specifies the domain that is central to human life and way of living across times and cultures (generic). Domain is used to determine if an aPair is a canonical antonym. Currently, our domain includes:
    • quality
    • existence
    • possibility
    • quantity
    • frequency
    • physical_property
    • location
    • temporal
    • size
    • temperature
  • Source: the source (model) from which the aPair is generated.

    Value	Description
    LEX	Lexical records with negative tags
    PD	prefix derivations with negations
    SD	suffix derivations with negations
    CC	collocates in a corpus
    SC	semantics in a corpus

  Please refer to antonym design documents for details.
  
  

• Difference: None
  
  
• Features:
  1. Find antonyms of an input term from database.
  2. Sort antonyms by alphabetic order, then EUI.
  3. Apply flow specific options of negation, source and type.
  
  
  
• Symbol: z
  
  
• Examples:

  
  shell> lvg -f:z -m
  love
  love|abominate|1024|1|z|1|FACT|love|love|E0038094|abominate|E0006530|verb|UB|O|quality|SN|
  love|detest|1024|1|z|1|FACT|love|love|E0038094|detest|E0022128|verb|UB|O|quality|SN|
  love|hate|1024|1|z|1|FACT|love|love|E0038094|hate|E0030882|verb|UB|O|quality|CC|
  love|hatred|128|1|z|1|FACT|love|love|E0038093|hatred|E0030885|noun|UB|O|quality|SN|
  
  can
  can|can't|64|1|z|1|FACT|can|can|E0014877|can't|E0014877|modal|B|N2|possibility|LEX|
  can|cannot|64|1|z|1|FACT|can|can|E0014877|cannot|E0014877|modal|B|N2|possibility|LEX|
  
  careless
  careless|careful|1|1|z|1|FACT|careless|careless|E0015344|careful|E0015340|adj|UB|O|quality|SD|
  careless|cautious|1|1|z|1|FACT|careless|careless|E0015344|cautious|E0015665|adj|UB|O|quality|SN|
  
  happy
  happy|sad|1|1|z|1|FACT|happy|happy|E0030812|sad|E0054106|adj|UB|O|quality|CC|
  happy|unhappy|1|1|z|1|FACT|happy|happy|E0030812|unhappy|E0063156|adj|AB2|O|quality|PD|
  
  sad
  sad|cheerful|1|1|z|1|FACT|sad|sad|E0054106|cheerful|E0016272|adj|UB|O|quality|SN|
  sad|glad|1|1|z|1|FACT|sad|sad|E0054106|glad|E0029796|adj|UB|O|quality|SN|
  sad|happy|1|1|z|1|FACT|sad|sad|E0054106|happy|E0030812|adj|UB|O|quality|CC|
  sad|merry|1|1|z|1|FACT|sad|sad|E0054106|merry|E0039644|adj|UB|O|quality|SN|
  
  accidental
  accidental|intentional|1|1|z|1|FACT|accidental|accidental|E0006721|intentional|E0034962|adj|AB2|O|quality|CC|
  accidental|nonaccidental|1|1|z|1|FACT|accidental|accidental|E0006721|nonaccidental|E0208392|adj|B|O|quality|PD|
  
  true
  true|false|1|1|z|1|FACT|true|true|E0062365|false|E0027238|adj|B|N2|quality|CC|
  true|untrue|1|1|z|1|FACT|true|true|E0062365|untrue|E0063406|adj|B|BN2|quality|PD|
  
  

  More examples
  
  

• Implementation Logic:
  1. Remove punctuation from the input term.
     • Lowercase characters from input term.
     • Find antonyms of the input term from database by options of negation, source and type.
  2. Assign category and inflection (base) to the LexItem.
  3. Sort antonyms in a case sensitive alphabetic order, then EUI.
  
  
• Source Code: ToAntonyms.java
  
  
• Hierarchy: Object -> Transformation -> ToAntonyms