WORDS AND PHRASES®
English Words and Phrases in Croatian: A Small-Scale Study of Language Awareness and Attitudes
... english words in Croatian and the areas in which such words ...english words in Croatian – for example, the results for statement number 4, “I think there are too many English words in ...
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Absolute continuity and hyponormal operators
... ergodic theory, unitary dilation theory, and minimal normal extensions of subnormal contractions.".. KEY WORDS AND PHRASES.[r] ...
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The application of Deep Learning in Persian Documents Sentiment Analysis
... sentiment words and phrases and their associated orientations and strength and incorporates intensification and negation to compute a sentiment score for each document (Taboada, Brooke, Tofiloski, Voll ...
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Improving Japanese to English Neural Machine Translation by Paraphrasing the Target Language
... OOV words iteratively until a paraphrase with frequent words is ...paraphrase words, and “word + phrase” when paraphrasing words and ...
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Beyond Word2Vec: Embedding Words and Phrases in Same Vector Space
... In this work, we present a novel approach in building phrase vector embeddings by the use of its constituent word vectors through a sequential Siamese model. The Siamese network designed for this task leverages a ...
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Unsupervised Text Normalization Using Distributed Representations of Words and Phrases
... of words to capture the notion of contextual similarity and subsequently learn normalization lex- icons from these representations in a com- pletely unsupervised ...
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Some analogues of Knopp’s core theorem
... on infinite matrices of bounded linear operators acting on bounded sequences in a Banach space... KEY WORDS AND PHRASES..[r] ...
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Bimodule problems and cell complexes
... Key words and phrases: bimodule problem, Tits form, universal covering, cell complex.... Basic notions.[r] ...
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Completion functors for Cauchy spaces
... Cauchy Spaces by forming the composition of Wyler’s completion functor with suitable modification functors... KEY WORDS AND PHRASES..[r] ...
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Emotions Evoked by Common Words and Phrases: Using Mechanical Turk to Create an Emotion Lexicon
... In order to overcome the challenges described above, before asking the annotators questions about what emotions are evoked by a target term, we first present them with a word choice problem pertaining to the target. They ...
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21st Century Business Language
... To establish relationships.People get an impression of us from the first email they receive, so it’s important to make a connection by using appropriate words and phrases. For example, ‘We spoke’ ot ‘As ...
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Limit cycles in a Kolmogorov type model
... The stability of equilibrium points, the existence and uniqueness of limit cycles in the model are proved... KEY WORDS AND PHRASES.[r] ...
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Distinguishing Use and Mention in Natural Language
... When humans communicate via natural lan- guage, they frequently make use of metalan- guage to clarify what they mean and promote a felicitous exchange of ideas. One key aspect of metalanguage is the mention of ...
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On Kothe-Toeplitz and Null Duals of Some Difference Sequence Spaces Defined by Orlicz Functions
... Key Words and Phrases: Difference sequence spaces, Orlicz function, Köthe-Toeplitz dual,.. Null dual.[r] ...
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Extension of Zipf’s Law to Words and Phrases
... The Mandarin corpus used in our experiments is the TREC Corpus. It was obtained from the People’s Daily Newspaper from 01/1991 to 12/1993 and from the Xinhua News Agency for 04/1994 to 09/1995 from the Linguistic Data ...
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A News Story Categorization System
... • hypothesization: an attempt to pick out all categories into which the story might fall on the basis of the words and phrases it contains; if particular words and phrases suggest more t[r] ...
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Learning to Explain Non Standard English Words and Phrases
... The study of non-standard language is of inter- ests to many researchers in the social media and NLP communities. For example, Eisenstein et al. (2010) propose a latent variable model to study the lexical variation of ...
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KARNA at COIN Shared Task 1: Bidirectional Encoder Representations from Transformers with relational knowledge for machine comprehension with common sense
... between phrases and words from ConceptNet(Liu and Singh, 2004), a knowledge graph that connects words and phrases of natural language (terms) with labeled, weighted edges ...
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CroVeWA: Crosslingual Vector Based Writing Assistance
... any words with the query. In- stead of matching words directly, we propose a sys- tem that employs crosslingually constrained vector representations (embeddings) of words and phrases to ...
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Real-Time Twitter Sentiment Classification Using Unsupervised Reviews
... the words “user friendly” and “high performance” square measure accustomed categorical positive sentiment, whereas “expensive” and “short battery life” typically indicate negative ...the words “exciting” ...
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