Results 31 to 40 of about 252,657 (155)
Transformer and Graph Convolutional Network for Text Classification
International Journal of Computational Intelligence Systems, 2023 Graph convolutional network (GCN) is an effective tool for feature clustering. However, in the text classification task, the traditional TextGCN (GCN for Text Classification) ignores the context word order of the text. In addition, TextGCN constructs the
Boting Liu +4 more
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Category membership and category potential: The case of vague because
Lexis: Journal in English Lexicology, 2023 I analyse the English causal connector because as used in the so-called because X constructions in terms of its word class membership. I show that three types of because can be distinguished based on syntactic criteria. Depending on the complement of the
Martin Konvička
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Improving the quality of Gujarati-Hindi Machine Translation through part-of-speech tagging and stemmer-assisted transliteration [PDF]
, 2013 Machine Translation for Indian languages is an emerging research area. Transliteration is one such module that we design while designing a translation system. Transliteration means mapping of source language text into the target language.
Ameta, Juhi +2 more
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Glossa, 2021 The paper (Baker & Gondo 2020) studies several issues in Dan morphosyntax: the formal differences between verbs, nouns and adjectives; two types of possessive constructions (with alienable and inalienable head nouns) and their syntactic structures; the ...
Valentin Feodosievich Vydrin
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Crowdsourcing Universal Part-Of-Speech Tags for Code-Switching
, 2017 Code-switching is the phenomenon by which bilingual speakers switch between multiple languages during communication. The importance of developing language technologies for codeswitching data is immense, given the large populations that routinely code ...
Hirschberg, Julia, Soto, Victor
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Hybrid Methods for Automatic Collocation Extraction in Building a Learners’ Dictionary of Italian
ComputersThe automatic construction of learners’ dictionaries requires robust methods for identifying non-literal word combinations, or collocations, which represent a significant challenge for second-language (L2) learners.
Damiano Perri +6 more
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Learning parts-of-speech through distributional analysis. Further results from Brazilian Portuguese
Diacrítica, 2019 A model of part-of-speech (or syntactic category) learning through distributional analysis – as a task in the language acquisition process – is presented here.
Pablo Faria
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A Comparative Study of Arabic Part of Speech Taggers Using Literary Text Samples from Saudi Novels
Information, 2021 Part of Speech (POS) tagging is one of the most common techniques used in natural language processing (NLP) applications and corpus linguistics. Various POS tagging tools have been developed for Arabic. These taggers differ in several aspects, such as in
Reyadh Alluhaibi +3 more
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A Universal Part-of-Speech Tagset [PDF]
, 2011 To facilitate future research in unsupervised induction of syntactic structure and to standardize best-practices, we propose a tagset that consists of twelve universal part-of-speech categories.
Das, Dipanjan +2 more
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A syntax-based part-of-speech analyser
, 1995 There are two main methodologies for constructing the knowledge base of a natural language analyser: the linguistic and the data-driven. Recent state-of-the-art part-of-speech taggers are based on the data-driven approach.
Voutilainen, Atro
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