Word-Graph2vec: An Efficient Word Embedding Approach on Word Co-occurrence Graph Using Random Walk Technique [PDF]
, 2023 Word embedding has become ubiquitous and is widely used in various natural language processing (NLP) tasks, such as web retrieval, web semantic analysis, and machine translation, and so on. Unfortunately, training the word embedding in a relatively large corpus is prohibitively expensive.
Wenting Li +6 more
core +4 more sources
Analysis of word occurrence frequency and word association in English text file: A big data analytics method [PDF]
Network Biology, 2018 In present study, I presented an algorithm for analysis of word occurrence frequency and word association in English text file. Various delimiters were used for splitting words.
YanHong Qi, GuangHua Liu, WenJun Zhang
doaj +2 more sources
PLoS ONEMost of the modern natural language processing (NLP) techniques are based on the vector space models of language, in which each word is represented by a vector in a high dimensional space.
Takuma Torii +2 more
doaj +3 more sources
Word Co-occurrence Counts Prediction for Bilingual Terminology Extraction from Comparable Corpora.
, 2013 International audienceMethods dealing with bilingual lexicon extraction from comparable corpora are often based on word co-occurrence observation and are by essence more effective when using large corpora.
Morin, Emmanuel, Hazem, Amir
core +8 more sources
Understanding the Internet: Psychological word norms as indicators of query-specific internet word frequencies [PDF]
, 2008 By using existing psychological word norms obtained by rating procedures we try to predict the frequencies of search hits derived from internet search engines.
Spörrle, Matthias, Heine, Jörg-Henrik
core +1 more source
Meanings of word: type-occurrence-token [PDF]
, 2005 Corcoran, John. 2005. Meanings of word: type-occurrence-token. Bulletin of Symbolic Logic 11(2005) 117. -/- Once we are aware of the various senses of ‘word’, we realize that self-referential statements use ambiguous sentences.
Corcoran, John
core +2 more sources
Counting Words by Number of Occurrences of Some Patterns [PDF]
The Electronic Journal of Combinatorics, 2011 We give asymptotic expressions for the number of words containing a given number of occurrences of a pattern for two families of patterns with two parameters each. One is the family of classical patterns in the form $22\cdots 212 \cdots 22$ and the other is a family of partially ordered patterns.
Zhicheng Gao +2 more
openaire +3 more sources
Lexical influences on spoken spondaic word recognition in hearing-impaired patients
Frontiers in Neuroscience, 2015 Top-down contextual influences play a major part in speech understanding, especially in hearing-impaired patients with deteriorated auditory input. Those influences are most obvious in difficult listening situations, such as listening to sentences in ...
Annie eMoulin, Celine eRichard
doaj +1 more source
Insertions Yielding Equivalent Double Occurrence Words [PDF]
Fundamenta Informaticae, 2019 A double occurrence word (DOW) is a word in which every symbol appears exactly twice; two DOWs are equivalent if one is a symbol-to-symbol image of the other. We consider the so called repeat pattern (αα) and the return pattern (ααR), with gaps allowed between the α’s. These patterns generalize square and palindromic factors of DOWs, respectively.
Daniel A. Cruz +4 more
openaire +5 more sources
Descriptive Semantics of the Word "Azm" (determination) in the Holy Qurʼan [PDF]
تحقیقات علوم قرآن و حدیث, 2017 "Azm" (determination) is one of the key words of The Holy Qurʼan. The extent of its influence on the destiny of human beings has turned it into an essential word.
Zahra sarfi, Faathiyeh fattahizadeh
doaj +1 more source