Results 61 to 70 of about 2,455,471 (242)
Rhetorical Strategy and Linguistics Features in E-Petition Through Change.org
Lingua Cultura, 2019 The research explored what types and how rhetorical strategy correlated with the linguistics features in e-petitions through Change.org entitled “KPK dalam Bahaya”. The data were e-petitions collected through Change.org.
Nurrahma Restia Fatkhiyati +1 more
doaj +1 more source
Feature-based and Model-based Semantics for English, French and German Verb Phrases [PDF]
, 1996 This paper considers the relative merits of using features and formal event models to characterise the semantics of English, French and German verb phrases, and con- siders the application of such semantics in machine translation.
Kent, Stuart, Pitt, J.V.
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Learning Language Representations for Typology Prediction
, 2017 One central mystery of neural NLP is what neural models "know" about their subject matter. When a neural machine translation system learns to translate from one language to another, does it learn the syntax or semantics of the languages?
Littell, Patrick +2 more
core +1 more source
Linguistic Feature Classifying and Tracing
Malaysian Journal of Computer Science, 2017 We investigate the identification and analysis of linguistic (lexico-grammatical) features that are characteristically used by articles of a specific year of publication. Linguistic features differ from shallow features because they represent authors’ lexico-grammatical writing styles and do not consider well-known bag-of-words model.
Ram Gopal Raj +3 more
openaire +3 more sources
Feature Projection for Improved Text Classification
Annual Meeting of the Association for Computational Linguistics, 2020 In classification, there are usually some good features that are indicative of class labels. For example, in sentiment classification, words like good and nice are indicative of the positive sentiment and words like bad and terrible are indicative of the
Qi Qin, Wenpeng Hu, Bing Liu
semanticscholar +1 more source
A La Carte Embedding: Cheap but Effective Induction of Semantic Feature Vectors [PDF]
Annual Meeting of the Association for Computational Linguistics, 2018 Motivations like domain adaptation, transfer learning, and feature learning have fueled interest in inducing embeddings for rare or unseen words, n-grams, synsets, and other textual features.
M. Khodak +5 more
semanticscholar +1 more source
From corpus-based collocation frequencies to readability measure [PDF]
, 2006 This paper provides a broad overview of three separate but related areas of research. Firstly, corpus linguistics is a growing discipline that applies analytical results from large language corpora to a wide variety of problems in linguistics and related
Anagnostou, N.K., Weir, G.R.S.
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Top-Rank Enhanced Listwise Optimization for Statistical Machine Translation
, 2017 Pairwise ranking methods are the basis of many widely used discriminative training approaches for structure prediction problems in natural language processing(NLP).
Chen, Huadong +4 more
core +1 more source
Joint Entity and Relation Extraction for Legal Documents with Legal Feature Enhancement
International Conference on Computational Linguistics, 2020 In recent years, the plentiful information contained in Chinese legal documents has attracted a great deal of attention because of the large-scale release of the judgment documents on China Judgments Online.
Yanguang Chen +3 more
semanticscholar +1 more source
Language as literature: Characters in everyday spoken discourse [PDF]
, 2012 There are several linguistic phenomena that, when examined closely, give evidence that people speak through characters, much like authors of literary works do, in everyday discourse.
Sandler, Dr. Sergeiy
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