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WORD N-GRAM-LANGUAGE-MODEL

  • Word n-gram language model
  • Purely statistical model of language

    A word n-gram language model is a statistical model of language which calculates the probability of the next word in a sequence from a fixed size window

    Word n-gram language model

    Word_n-gram_language_model

  • N-gram
  • Item sequences in computational linguistics

    words, n-grams may also be called shingles. In the context of natural language processing (NLP), the use of n-grams allows bag-of-words models to capture

    N-gram

    N-gram

  • Language model
  • Statistical model of language

    neural network-based models, which had previously superseded the purely statistical models, such as the word n-gram language model. During the 1950s, Noam

    Language model

    Language_model

  • Large language model
  • Type of machine learning model

    models pioneered word alignment techniques for machine translation, laying the groundwork for corpus-based language modeling. In 2001, a smoothed n-gram

    Large language model

    Large_language_model

  • Cache language model
  • Standard (non-cache) N-gram language models will assign a very low probability to the word "elephant" because it is a very rare word in English. If the

    Cache language model

    Cache_language_model

  • Factored language model
  • factored language model (FLM) is an extension of a conventional language model introduced by Jeff Bilmes and Katrin Kirchoff in 2003. In an FLM, each word is

    Factored language model

    Factored_language_model

  • Word embedding
  • Method in natural language processing

    observed language, word embeddings or semantic feature space models have been used as a knowledge representation for some time. Such models aim to quantify

    Word embedding

    Word embedding

    Word_embedding

  • Word2Vec
  • Models used to produce word embeddings

    skip-gram model used in fastText, in which words are represented as combinations of character n-grams. This incorporates subword information into word representations

    Word2Vec

    Word2Vec

  • Katz's back-off model
  • Type of language model

    In language modeling, Katz back-off is a generative n-gram model that estimates the conditional probability of a word given its history in the n-gram. It

    Katz's back-off model

    Katz's_back-off_model

  • Language and Communication Technologies
  • supplanted models based on recurrent neural networks, which previously replaced purely statistical models such as word n-gram language models. The largest

    Language and Communication Technologies

    Language_and_Communication_Technologies

  • Kneser–Ney smoothing
  • Statistical method

    language models. The addition of the term for lower order n-grams adds more weight to the overall probability when the count for the higher order n-grams

    Kneser–Ney smoothing

    Kneser–Ney_smoothing

  • Brown clustering
  • the context of language modeling. The intuition behind the method is that a class-based language model (also called cluster n-gram model), i.e. one where

    Brown clustering

    Brown_clustering

  • Natural Language Toolkit
  • Software suite for natural language processing

    Discourse representation Lexical analysis: Word and text tokenizer n-gram and collocations Part-of-speech tagger Tree model and Text chunker for capturing Named-entity

    Natural Language Toolkit

    Natural_Language_Toolkit

  • Natural language processing
  • Processing of natural language by a computer

    algorithm used has a low enough time complexity to be practical. 2003: word n-gram model, at the time the best statistical algorithm, is outperformed by a

    Natural language processing

    Natural_language_processing

  • BLEU
  • Algorithm for evaluating the quality of machine-translated text

    any integer n ≥ 1 {\displaystyle n\geq 1} , we define the set of its n-grams to be G n ( y ) = { y 1 ⋯ y n , y 2 ⋯ y n + 1 , ⋯ , y K − n + 1 ⋯ y K } {\displaystyle

    BLEU

    BLEU

  • LEPOR
  • Automatic Translation Evaluation Model

    LEPOR (Length Penalty, Precision, n-gram Position difference Penalty and Recall) is an automatic language independent machine translation evaluation metric

    LEPOR

    LEPOR

  • Transformer (deep learning)
  • Algorithm for modelling sequential data

    in a TensorFlow library. In language modelling, ELMo (2018) was a bi-directional LSTM that produces contextualized word embeddings, improving upon the

    Transformer (deep learning)

    Transformer (deep learning)

    Transformer_(deep_learning)

  • Bigram
  • Case of an n-gram, where n is 2

    a dependency grammar). Bigrams, along with other n-grams, are used in most successful language models for speech recognition. Bigram frequency attacks

    Bigram

    Bigram

  • English grammar
  • Grammar of the English language

    differs from the noun inflection of languages such as German, in that the genitive ending may attach to the last word of the phrase. To account for this

    English grammar

    English_grammar

  • Outline of natural language processing
  • Overview of and topical guide to natural language processing

    grammar (TAG) – Natural language – n-gram – sequence of n number of tokens, where a "token" is a character, syllable, or word. The n is replaced by a number

    Outline of natural language processing

    Outline_of_natural_language_processing

  • ROUGE (metric)
  • Metric used for testing NLP models

    available. ROUGE-N: Overlap of n-grams between the system and reference summaries. ROUGE-1 refers to the overlap of unigrams (each word) between the system

    ROUGE (metric)

    ROUGE_(metric)

  • Lexical substitution
  • Identifying an alternate word in context

    Oren Melamud, Omer Levy, and Ido Dagan uses the skip-gram model to find a vector for each word and its synonyms. Then, it calculates the cosine distance

    Lexical substitution

    Lexical_substitution

  • FastText
  • Programming library

    skip-gram model used in word2vec, but also takes the internal structure of words into account. Instead of learning a representation for each word only

    FastText

    FastText

  • LLM-as-a-Judge
  • Technique using a large language model as an evaluator

    such as BLEU and ROUGE, which measure word overlap rather than meaning. In LLM-as-a-judge, a large language model acts as an evaluator: it receives an

    LLM-as-a-Judge

    LLM-as-a-Judge

    LLM-as-a-Judge

  • Statistical machine translation
  • Machine translation paradigm

    sentence. Language models are typically approximated by smoothed n-gram models, and similar approaches have been applied to translation models, but this

    Statistical machine translation

    Statistical_machine_translation

  • Witten–Bell discounting
  • In natural language processing, Witten-Bell discounting is a method that can address the sparse data and zero-frequency issues in N-gram algorithms. It

    Witten–Bell discounting

    Witten–Bell_discounting

  • Microsoft Translator
  • Machine translation cloud service by Microsoft

    Bilingual Word Alignment" (PDF). Archived from the original (PDF) on 2008-07-20. "Using Word Dependent Transition Models in HMM based Word Alignment for

    Microsoft Translator

    Microsoft_Translator

  • Evaluation of machine translation
  • ones (sentence-length penalty and n-gram based word order penalty). The experiments were tested on eight language pairs from ACL-WMT2011 including English-to-other

    Evaluation of machine translation

    Evaluation_of_machine_translation

  • Paraphrasing (computational linguistics)
  • Automatic generation or recognition of paraphrased text

    condition" This is achieved by first clustering similar sentences together using n-gram overlap. Recurring patterns are found within clusters by using multi-sequence

    Paraphrasing (computational linguistics)

    Paraphrasing_(computational_linguistics)

  • Neural machine translation
  • Machine translation using artificial neural networks

    together with other researchers, Holger Schwenk replaced the usual n-gram language model with a neural one and estimated phrase translation probabilities

    Neural machine translation

    Neural_machine_translation

  • Explicit semantic analysis
  • outperforms other algorithms, including WordNet semantic similarity measures and skip-gram Neural Network Language Model (Word2vec). ESA is used in commercial

    Explicit semantic analysis

    Explicit_semantic_analysis

  • Mole (unit)
  • SI unit of amount of substance

    that corresponds to the number of atoms in 12 grams of 12C, which made the molar mass of a compound in grams per mole, numerically equal to the average molecular

    Mole (unit)

    Mole (unit)

    Mole_(unit)

  • Stance detection
  • Opinion and argument mining subtask

    datasets such as SemEval-2016, where topic-specific SVM models were trained on word and character n-grams. A recurring challenge was that topic-specific features

    Stance detection

    Stance_detection

  • MAUVE (metric)
  • Metric for evaluating open-ended text generation

    Furthermore, neural language models often suffer from issues like repetitive loops or lack of long-range coherence that n-gram metrics fail to capture

    MAUVE (metric)

    MAUVE_(metric)

  • Stemming
  • Process of reducing words to word stems

    input word to produce the normalized (root) form. Some stemming techniques use the n-gram context of a word to choose the correct stem for a word. Hybrid

    Stemming

    Stemming

  • Chickpea
  • Species of flowering plant with edible seeds

    for its edible seeds. Its different types are variously known as gram, Bengal gram, chana (চানা), garbanzo, garbanzo bean, or Egyptian pea. It is one

    Chickpea

    Chickpea

    Chickpea

  • Vowpal Wabbit
  • Machine learning system

    (quadratic and cubic) On the fly generation of N-grams with optional skips (useful for word/language data-sets) Automatic test-set holdout and early

    Vowpal Wabbit

    Vowpal Wabbit

    Vowpal_Wabbit

  • Speech recognition
  • Automatic conversion of spoken language into text

    the n-gram language model. 1987 – The back-off model enabled language models to use multiple-length n-grams, and CSELT used HMM to recognize languages (in

    Speech recognition

    Speech_recognition

  • Meta AI
  • Artificial intelligence division of Meta Platforms

    efficient text classification and learning word representations, which introduced methods based on character n-grams. In 2017, FAIR released Torch deep-learning

    Meta AI

    Meta AI

    Meta_AI

  • Signature (logic)
  • Description of non-logical symbols

    symbols of a formal language. In universal algebra, a signature lists the operations that characterize an algebraic structure. In model theory, signatures

    Signature (logic)

    Signature_(logic)

  • Voynich manuscript
  • 15th-century codex in an unknown script

    identify the text's keywords and produced three-dimensional models of the text's structure and word frequencies. The team concluded that, in 90% of cases,

    Voynich manuscript

    Voynich manuscript

    Voynich_manuscript

  • Bidhnu
  • Town in Uttar Pradesh, India

    historical heritage, bhitargaon temple. Due to differences in languages and dialects over time, the word Vishnu became popular with Bidhanu. Kathara, khersa, bidhnoo

    Bidhnu

    Bidhnu

  • Levenshtein distance
  • String metric for measuring edit distance

    items, rather than treating a single raw word pair as a direct measure of the distance between entire languages. It has been used extensively in dialectometry

    Levenshtein distance

    Levenshtein distance

    Levenshtein_distance

  • Bengali language
  • Indo-Aryan language

    was the language of the Pala Empire and the Sena dynasty. During the medieval period, Middle Bengali was characterised by the elision of the word-final

    Bengali language

    Bengali language

    Bengali_language

  • Czech orthography
  • Form of the Latin script used to write Czech language

    long vowels. The Czech orthography is considered the model for many other Balto-Slavic languages using the Latin alphabet; Slovak orthography being its

    Czech orthography

    Czech_orthography

  • Marathi language
  • Indo-Aryan language of India

    of n-grams has changed over a specific period. There is no database of Indian languages in the Google Books Ngram viewer. The Indian Languages Word Corpus

    Marathi language

    Marathi language

    Marathi_language

  • Latent semantic analysis
  • Technique in natural language processing

    multi-gram dictionary can be used to find direct and indirect association as well as higher-order co-occurrences among terms. The probabilistic model of

    Latent semantic analysis

    Latent_semantic_analysis

  • Pashto
  • Eastern Iranian language

    [zə raˈmɑn pə ˈxpəl.a ɡram jəm t͡ʃe maˈjan jəm t͡ʃe dɑ nor ʈoˈpən me boˈli ɡram pə t͡sə] Transliteration: Zə Rahmā́n pə xpə́la gram yəm če mayán yəm Če

    Pashto

    Pashto

    Pashto

  • Representation learning
  • Set of learning techniques in machine learning

    extended word embeddings in different directions. fastText incorporates subword information by representing words as combinations of character n-gram vectors

    Representation learning

    Representation learning

    Representation_learning

  • Compound (linguistics)
  • Lexeme (word or sign) that consists of more than one stem

    Morphology". Sign Gram Blueprint. De Gruyter. pp. 163–270. doi:10.1515/9781501511806-009. ISBN 9781501511806. Retrieved 2019-02-19. "Word formation: compounding

    Compound (linguistics)

    Compound_(linguistics)

  • Cosine similarity
  • Similarity measure for number sequences

    of natural language processing (NLP) the similarity among features is quite intuitive. Features such as words, n-grams, or syntactic n-grams can be quite

    Cosine similarity

    Cosine_similarity

  • Etruscan language
  • Extinct language of ancient Italy

    The records of the language suggest that phonetic change took place over time, with the loss and then re-establishment of word-internal vowels, possibly

    Etruscan language

    Etruscan language

    Etruscan_language

  • Orellanine
  • Chemical compound

    Orellani within the family Cortinariaceae. Structurally, it is a bipyridine N-oxide compound somewhat related to the herbicide diquat. Orellanine first

    Orellanine

    Orellanine

    Orellanine

  • Sketch Engine
  • Corpus manager and text analysis software

    search word) which can be regarded as collocation candidates Word lists – generates frequency lists which can be filtered with complex criteria n-grams – generates

    Sketch Engine

    Sketch Engine

    Sketch_Engine

  • Foreign-language writing aid
  • Assistive technology for non-native language users

    computers in language classrooms has become more common, and one example would be the use of word processors to assist learners of a foreign language in the

    Foreign-language writing aid

    Foreign-language_writing_aid

  • RetrievalWare
  • were built using WordNet. In addition, RetrievalWare implemented a form of n-gram search (branded as APRP - Adaptive Pattern Recognition Processing), designed

    RetrievalWare

    RetrievalWare

  • Priestia megaterium
  • Species of bacterium

    [citation needed] Before the rise of Bacillus subtilis as the dominant Gram-positive model organism, P. megaterium was widely used for studies on biochemistry

    Priestia megaterium

    Priestia megaterium

    Priestia_megaterium

  • Uyghur language
  • Karluk Turkic language

    classes or grammatical gender, and is a left-branching language with subject–object–verb word order. With regard to vowel harmony, it has been described

    Uyghur language

    Uyghur language

    Uyghur_language

  • Automatic summarization
  • Computer-based method for summarizing a text

    content of human-generated summaries known as references. It calculates n-gram overlaps between automatically generated summaries and previously written

    Automatic summarization

    Automatic_summarization

  • Running key cipher
  • Type of polyalphabetic substitution cipher

    about 50%. Reddy and Knight used blocked Gibbs sampling over a word-based language model, recovering about 88–93% of characters on 1,000-character ciphertexts

    Running key cipher

    Running_key_cipher

  • Named-entity recognition
  • Extraction of named entity mentions in unstructured text into pre-defined categories

    word and surrounding words. Part of speech of the word. Whether the word appears in one or more named entity lists (gazetteers). Words and/or n-grams

    Named-entity recognition

    Named-entity_recognition

  • Search engine indexing
  • Method for data management

    between documents to support citation analysis, a subject of bibliometrics. n-gram index Stores sequences of length of data to support other types of retrieval

    Search engine indexing

    Search_engine_indexing

  • Phonics
  • Method of teaching reading and writing

    language (a word-level-up philosophy for teaching reading) and a compromise approach called balanced literacy (the attempt to combine whole language and

    Phonics

    Phonics

    Phonics

  • Reed–Kellogg sentence diagram
  • Pictorial representation of the grammatical structure of a sentence

    "sentence diagram" is used more when teaching written language, where sentences are diagrammed. The model shows the relations between words and the nature

    Reed–Kellogg sentence diagram

    Reed–Kellogg_sentence_diagram

  • Nissan Sentra
  • Compact car

    110-126 hp (94 kW) and 108 pound-feet (146 N⋅m) 1.6-liter 16-valve 4-cylinder GA16DE engine. It came in the base model, E, XE, SE, and GXE. The GXE came with

    Nissan Sentra

    Nissan Sentra

    Nissan_Sentra

  • Recurrent neural network
  • Class of artificial neural network

    neural-network language models could substantially outperform conventional n-gram models. In 2014, Kyunghyun Cho and co-authors proposed an RNN encoder–decoder

    Recurrent neural network

    Recurrent_neural_network

  • Longest common substring
  • Computer science problem

    \Theta } ( n + m ) {\displaystyle (n+m)} time with the help of a generalized suffix tree. A faster algorithm can be achieved in the word RAM model of computation

    Longest common substring

    Longest_common_substring

  • Lao language
  • Kra–Dai language

    Hlai languages Kam-Sui languages Kra languages Be language Tai languages Northern Tai languages Central Tai languages Southwestern Tai languages Northwestern

    Lao language

    Lao language

    Lao_language

  • 15.ai
  • Real-time text-to-speech AI tool

    advanced for its time, with its voice synthesis outperforming contemporary models, 15.ai was one of the first mainstream applications of generative artificial

    15.ai

    15.ai

    15.ai

  • Integral humanism (Hindu nationalism)
  • Political program adopted in 1965 as the official doctrine of the Jan Sangh

    principles such as sarvodaya (progress of all), swadeshi (domestic), and Gram Swaraj (village self rule) and these principles were appropriated selectively

    Integral humanism (Hindu nationalism)

    Integral humanism (Hindu nationalism)

    Integral_humanism_(Hindu_nationalism)

  • Phaseolus
  • Genus of legumes

    in a pod as phasēlos including those species, mung bean as well as black gram which were brought to them from Asia during their time; the name extended

    Phaseolus

    Phaseolus

    Phaseolus

  • List of Academy Award–nominated films
  • 76th 0 3 House of Sand and Fog 2003 76th 0 3 In America 2002 76th 0 3 21 Grams 2003 76th 0 2 The Triplets of Belleville 2003 76th 0 2 (A) Torzija [(A)

    List of Academy Award–nominated films

    List_of_Academy_Award–nominated_films

  • Sideshow Bob
  • Fictional character from The Simpsons franchise

    Cole Porter.. For Grammer identifying Rabb as the model for Bob’s voice, see Grammer, Kelsey (February 18, 2025). "Kelsey Grammer" (PDF transcript).

    Sideshow Bob

    Sideshow_Bob

  • Timeline of artificial intelligence
  • Reasoning in Large Language Models". arxiv.org. Retrieved 10 June 2026. "Chain-of-Thought Prompting Elicits Reasoning in Large Language Models". Arxiv. Retrieved

    Timeline of artificial intelligence

    Timeline of artificial intelligence

    Timeline_of_artificial_intelligence

  • Fedorov Avtomat
  • Soviet battle rifle

    jamming. When fired from an 800 mm barrel, 6.5mm Federov propelled an 8.5 gram pointed jacketed bullet to an initial velocity of 860 m/s with a muzzle energy

    Fedorov Avtomat

    Fedorov_Avtomat

  • Nissan Skyline
  • Series of automobiles manufactured by Nissan

    177 N⋅m (18 kg⋅m; 131 lb⋅ft) (high octane gasoline) 240K – 2.4 L L24 I6 122 PS (120 hp; 90 kW) / 187 N⋅m (19 kg⋅m; 138 lb⋅ft) (1975–1978 European model)

    Nissan Skyline

    Nissan Skyline

    Nissan_Skyline

  • Spell checker
  • Software to help correct spelling errors

    alternative type of spell checker uses solely statistical information, such as n-grams, to recognize errors instead of correctly-spelled words. This approach

    Spell checker

    Spell checker

    Spell_checker

  • Proto-Munda language
  • Reconstructed South Asian proto-language

    stimulated just by language contact within the South Asian linguistic area, but by internal restructuring that caused the Munda word prosody to shift its

    Proto-Munda language

    Proto-Munda_language

  • Mini Hatch
  • Supermini car

    (75 PS (55 kW) and 98 PS (72 kW)). The model was marketed as a more environmentally friendly option with low 119 grams (4.2 oz) per kilometre carbon dioxide

    Mini Hatch

    Mini Hatch

    Mini_Hatch

  • Google Brain
  • Deep learning artificial intelligence research team

    rather than choosing a replacement for each individual word in the desired language, GNMT evaluates word segments in the context of the rest of the sentence

    Google Brain

    Google_Brain

  • Web query classification
  • several classification approaches including exact-match using labeled data, N-Gram match using labeled data and classifiers based on perception. They emphasize

    Web query classification

    Web_query_classification

  • Northeastern elite accent
  • Set of American English accents

    accent was used by the snobbish Crane brothers, who are played by Kelsey Grammer and David Hyde Pierce. Non-rhoticity, or "R-dropping", occurs in words

    Northeastern elite accent

    Northeastern_elite_accent

  • Quorum sensing
  • Biological ability to detect and respond to cell population density

    effects of N-Acyl homoserine lactone (AHL), one of the quorum sensing-signaling molecules in gram-negative bacteria, on plants. The model organism used

    Quorum sensing

    Quorum_sensing

  • Psilocybin
  • Chemical compound found in some species of mushrooms

    Psilocybin, also known as 4-phosphoryloxy-N,N-dimethyltryptamine (4-PO-DMT), is a naturally occurring tryptamine alkaloid and investigational drug found

    Psilocybin

    Psilocybin

    Psilocybin

  • Influencer
  • Person influential on social media

    Washington Post. p. D.1. ProQuest 2545825826. Retrieved April 18, 2023. Grammer, Geoff (June 30, 2021). "NIL arrives Thursday: At long last, show athletes

    Influencer

    Influencer

    Influencer

  • Mixed language
  • Language that arises amongst a bilingual group

    According to Google n-gram, the German term Mischsprache is first attested in 1832, and attested in English since 1909. "jargon, n.1." OED Online. Oxford

    Mixed language

    Mixed_language

  • Tibetan script
  • Tibetan writing system

    "Writing systems of major and minor languages". In Kachru, Braj B.; Kachru, Yamuna; Sridhar, S. N. (eds.). Language in South Asia. pp. 285–308. doi:10

    Tibetan script

    Tibetan script

    Tibetan_script

  • Creatine
  • Chemical compound

    of intramuscular creatine is degraded per day, so people need about 1-3 grams of creatine a day to maintain average (unsupplemented) creatine storage

    Creatine

    Creatine

    Creatine

  • Bacteria
  • Domain of microorganisms

    classified as belonging to one of four groups (Gram-positive cocci, Gram-positive bacilli, Gram-negative cocci and Gram-negative bacilli). Some organisms are best

    Bacteria

    Bacteria

    Bacteria

  • Polygon
  • Plane figure bounded by line segments

    materials. Any surface is modelled as a tessellation called polygon mesh. If a square mesh has n + 1 points (vertices) per side, there are n squared squares in

    Polygon

    Polygon

  • Adsorption
  • Phenomenon of surface adhesion

    quantity adsorbed is given in moles, grams, or gas volumes at standard temperature and pressure (STP) per gram of adsorbent. If we call vmon the STP

    Adsorption

    Adsorption

    Adsorption

  • Chocolate
  • Food produced from cacao seeds

    027 μg lead per gram of candy. Another study found that some chocolate purchased at U.S. supermarkets contained up to 0.965 μg per gram, close to the international

    Chocolate

    Chocolate

    Chocolate

  • List of Ghosts (American TV series) episodes
  • Malmuth April 9, 2026 (2026-04-09) GHO515 N/A Trevor gets in trouble at his job for sending a strip-o-gram to his boss for his birthday. H.R. demands

    List of Ghosts (American TV series) episodes

    List_of_Ghosts_(American_TV_series)_episodes

  • Hydrogen cyanide
  • Chemical compound

    acid) is a chemical compound with the formula HCN and structural formula H−C≡N. It is a highly toxic and flammable liquid that boils slightly above room

    Hydrogen cyanide

    Hydrogen cyanide

    Hydrogen_cyanide

  • Optical character recognition
  • Computer recognition of visual text

    character at a time. Optical word recognition – targets typewritten text, one word at a time (for languages that use a space as a word divider). Usually just

    Optical character recognition

    Optical character recognition

    Optical_character_recognition

  • Tamil loanwords in other languages
  • List of loanwords

    words; thus, the word ampalam, [ambalam], logically results in the Sinhala spelling ambalama, and so forth. However, the Tamil language used here for comparison

    Tamil loanwords in other languages

    Tamil_loanwords_in_other_languages

  • Donald Trump and fascism
  • news}}: CS1 maint: deprecated archival service (link) Layne, Nathan; Slattery, Gram; Reid, Tim (April 3, 2024). "Trump calls migrants 'animals,' intensifying

    Donald Trump and fascism

    Donald Trump and fascism

    Donald_Trump_and_fascism

  • Ethylenediaminetetraacetic acid
  • Chemical compound

    strains share similar properties of aerobic respiration and are classified as gram-negative bacteria. Unlike photolysis, the chelated species is not exclusive

    Ethylenediaminetetraacetic acid

    Ethylenediaminetetraacetic acid

    Ethylenediaminetetraacetic_acid

  • List of datasets for machine-learning research
  • statistical models for natural language parsing". Computational Linguistics. 29 (4): 589–637. doi:10.1162/089120103322753356. "All Our N-gram are Belong

    List of datasets for machine-learning research

    List_of_datasets_for_machine-learning_research

  • World Government (One Piece)
  • Main antagonist organization of One Piece

    Nemesis Longinus, Lance (Rimoshifu family) Stigma, Blade of Hatred Muramasa Gram, Blade (Shepherd family) Fragarach, Blade of the Sea God Axe of Xingtian

    World Government (One Piece)

    World Government (One Piece)

    World_Government_(One_Piece)

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