Meaning of "word sense disambiguation" in the English dictionary

PRONUNCIATION OF WORD SENSE DISAMBIGUATION

word sense disambiguation  [wɜːd sɛns ˌdɪsæmˌbɪɡjʊˈeɪʃən]

GRAMMATICAL CATEGORY OF WORD SENSE DISAMBIGUATION

Word sense disambiguation is a noun.

A noun is a type of word the meaning of which determines reality. Nouns provide the names for all things: people, objects, sensations, feelings, etc.

WHAT DOES WORD SENSE DISAMBIGUATION MEAN IN ENGLISH?

Word-sense disambiguation

In computational linguistics, word-sense disambiguation is an open problem of natural language processing and ontology, which governs the process of identifying which sense of a word is used in a sentence, when the word has multiple meanings. The solution to this problem impacts other computer-related writing, such as discourse, improving relevance of search engines, anaphora resolution, coherence, inference et cetera. Research has progressed steadily to a point where WSD systems achieve sufficiently high levels of accuracy on a variety of word types and ambiguities. A rich variety of techniques have been researched, from dictionary-based methods that use the knowledge encoded in lexical resources, to supervised machine learning methods in which a classifier is trained for each distinct word on a corpus of manually sense-annotated examples, to completely unsupervised methods that cluster occurrences of words, thereby inducing word senses. Among these, supervised learning approaches have been the most successful algorithms to date. Current accuracy is difficult to state without a host of caveats.

Definition of word sense disambiguation in the English dictionary

The definition of word sense disambiguation in the dictionary is the process of identifying which sense of a word is being used in a particular context.

TRANSLATION OF WORD SENSE DISAMBIGUATION

Find out the translation of word sense disambiguation to 25 languages with our English multilingual translator.

The translations of word sense disambiguation from English to other languages presented in this section have been obtained through automatic statistical translation; where the essential translation unit is the word «word sense disambiguation» in English.

• Translator English - Chinese: 词义消歧
• Translator English - Spanish: palabra sentido de desambiguación
• English: word sense disambiguation
• Translator English - Hindi: शब्द समझ बहुविकल्पी
• Translator English - Arabic: كلمة توضيح المعنى
• Translator English - Russian: Слово чувство неоднозначности
• Translator English - Portuguese: senso palavra desambiguação
• Translator English - Bengali: শব্দ অর্থে বিভ্রান্তি
• Translator English - French: désambiguïsation
• Translator English - Malay: Disambiguasi rasa perkataan
• Translator English - German: WortsinnBegriffsklärung
• Translator English - Japanese: 多義性解消
• Translator English - Korean: 단어 의미 의 명확성
• Translator English - Javanese: Disambiguasi
• Translator English - Vietnamese: ý nghĩa từ định hướng
• Translator English - Tamil: வார்த்தை அர்த்தம் disambiguation
• Translator English - Marathi: शब्दाचा अर्थ विनोद
• Translator English - Turkish: Sözcük anlamda anlamsızlaştırma
• Translator English - Italian: parola di senso disambiguazione
• Translator English - Polish: Słowo poczucie ujednoznacznienie
• Translator English - Ukrainian: Слово почуття неоднозначності
• Translator English - Romanian: cuvânt sens dezambiguizare
• Translator English - Greek: λέξη αίσθηση αποσαφήνιση
• Translator English - Afrikaans: woord sin disambiguation
• Translator English - Swedish: ordet bemärkelse disambiguering
• Translator English - Norwegian: ordet forstand disambiguation

10 ENGLISH BOOKS RELATING TO «WORD SENSE DISAMBIGUATION»

Discover the use of word sense disambiguation in the following bibliographical selection. Books relating to word sense disambiguation and brief extracts from same to provide context of its use in English literature.

Word Sense Disambiguation: Algorithms and Applications

Covers the topic of word sense disambiguation (WSD) including: the major algorithms, techniques, performance measures, results, philosophical issues, and applications. This book provides an overview of the research across the field.

Eneko Agirre, Philip Glenny Edmonds, 2007

Word Sense Disambiguation: The Case for Combinations of ...

This book provides an overview of the field, descriptions of novel research, accounts of previous approaches and methodologies, and an evaluation of a practical computer system that has been found to produce accurate disambiguation ...

Mark Stevenson, 2003

New Perspectives on Computational and Cognitive Strategies ...

The text also investigates the contribution of different knowledge sources to WSD in relation to this very intrinsic nature of words and senses.

Olivia Kwong, 2012

The Naïve Bayes Model for Unsupervised Word Sense ...

This book presents recent advances (from 2008 to 2012) concerning use of the Naïve Bayes model in unsupervised word sense disambiguation (WSD).While WSD, in general, has a number of important applications in various fields of artificial ...

Florentina T. Hristea, 2012

Maximum Entropy Model for Korean Word Sense Disambiguation

1Part of Korean National Corpus, constructed by the Ministry of Culture and Tourism of Korea since 1998.

Donghun Shin, 2009

Advanced Intelligent Computing Theories and Applications. ...

Word Sense Disambiguation (WSD) is usually considered to be a pattern classification to research and it has always being a key problem and one of difficult points in natural language processing. Statistical learning theory is a mainstream of ...

De-Shuang Huang, Daniel S. Levine, Donald C. Wunsch, 2008

Word Sense Disambiguation for Statistical Machine Translation

In this thesis, we show for the first time that lexical semantics modelling is useful in Statistical Machine Translation (SMT).

Marine Jacinthe Carpuat, 2008

Automatic Extraction of Examples for Word Sense Disambiguation

In the following thesis we present a memory-based word sense disambiguation system, which makes use of automatic feature selection and minimal parameter optimization.

Desislava Zhekova, 2014

Towards High-Performance Word Sense Disambiguation: ...

This work addresses the above two problems through combining rich linguistic knowledge and machine learning methods.

Jinying Chen, 2007

An Investigation of Word Sense Disambiguation for Improving ...

We perform an experiment to demonstrate the validity of the proposed model.

Matthew John Reinhard Enss, 2006

10 NEWS ITEMS WHICH INCLUDE THE TERM «WORD SENSE DISAMBIGUATION»

Find out what the national and international press are talking about and how the term word sense disambiguation is used in the context of the following news items.

Miller's WordNet gives AI knowledge

Choosing the correct meaning is known as word sense disambiguation. Human brains do this will apparent ease, but without a UE, how can a computer do this ... «Computerworld, Jun 15»

Why text analytics is so important in search

Text analytics is crucial for word sense disambiguation. Word sense disambiguation is the process of determining what meaning of a word that has multiple ... «TechRadar UK, May 14»

DLPI takes measures for developing Manipuri

... morphological segmentation parsing; part of speech tagging, sentence boundary disambiguation; word sense disambiguation for Manipuri grammar checker. «KanglaOnline, Nov 13»

PW Interview: Tal Rotbart Founder- CTO, SpringSense

PW- You claim to be the world's most accurate Word Sense Disambiguation API in a recent release. What are some of the ways you finetune your NLP libraries. «ProgrammableWeb, May 13»

Research to analyse social media data: IITB-Monash Academy

This process is called Word Sense Disambiguation. ... to analyze a large volume of tweets and determine trends based on the true meaning behind the words. «Times of India, Apr 13»

Opinion: Text Mining in the Clinic

Text mining normally requires a pre-processing phase such as spell checking, sentence splitting, word sense disambiguation, and more. In addition, contextual ... «Scientist, Apr 13»

Machines Will Outsmart Humans. We Better Be Ready

But we know which approaches had the biggest commercial success: search engines, speech recognition, machine translation, word sense disambiguation, and ... «Forbes, Dec 12»

The Language Problem: Jaguars & The Turing Test

I've led you through this rather exhaustive analysis of word sense disambiguation to make a point. Understanding language is tough. And, in many cases, it goes ... «Search Engine Land, Sep 11»

EDGAR Online: A Pure Play on XBRL

That is because the problem of "word sense disambiguation" is handled by XBRL's precisely defined taxonomy of financial concepts and tags. And, the ... «Seeking Alpha, Feb 11»

Gnoesis Develops First Universal Markup Solution for Web Content …

In addition, KODAXIL's built-in inference navigates lists of relations located in contexts, which also offer word sense disambiguation and act as namespaces, ... «PR Web, Apr 09»