Results 161 to 170 of about 4,901 (215)
Thesaurus-based word sense disambiguation
В данной работе мы описываем новый алгоритм для разрешения лексической многозначности на основе Тезауруса русского языка РуТез. Мы оценили точность работы алгоритма для задачи «все слова текста» и задачи разрешения многозначности тематической лексики ...
Чуйко, Д. С. +1 more
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ABSTRACT The prosodic characteristics of a native language greatly influence early language acquisition. Yet, Japanese mothers are known to use a specific prosodic structure in infant‐directed vocabulary (IDV)—specifically, three‐mora, two‐syllable words with a heavy‐light pattern—which, crucially, differs from the standard prosodic rhythm of adult ...
Yoritaka Akimoto +5 more
wiley +1 more source
Towards Word Sense Disambiguation for Latvian
Peteris Paikens +2 more
openaire +1 more source
Adaptive Acoustic Monitoring for Endangered Cook Inlet Beluga Whales in Complex Soundscapes
ABSTRACT Effective conservation of the endangered Cook Inlet beluga whale (Delphinapterus leucas) requires comprehensive spatiotemporal data, yet monitoring efforts remain spatially biased, underrepresenting important southern habitats. Passive acoustic monitoring (PAM) provides the necessary broad‐scale coverage, but its expansion introduces ...
Manuel Castellote +7 more
wiley +1 more source
Word Sense Disambiguation vs. Statistical Machine Translation
We directly investigate a subject of much recent debate: do word sense disambigation models help statistical machine translation quality? We present empirical results casting doubt on this common, but unproved, assumption. Using a state-ofthe-art Chinese
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Similarity-based Word Sense Disambiguation
We describe a method for automatic word sense disambiguation using a text corpus and a machine-readable dictionary (MRD). The method is based on word similarity and context similarity measures.
Karov, Yael, Edelman, Shimon
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Combining Independent Knowledge Sources for Word Sense Disambiguation
Sense tagging, the automatic assignment of the appropriate sense from some lexicon to each of the words in a text, is a specialised instance of the general problem of word sense disambiguation. We discuss which recent word sense disambiguation algorithms
Yorick Wilks, Mark Stevenson
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Entity Linking meets Word Sense Disambiguation: a Unified Approach
Andrea Moro +2 more
doaj +1 more source
PageRank on Semantic Networks, with Application to Word Sense Disambiguation
This paper presents a new open text word sense disambiguation method that combines the use of logical inferences with PageRank-style algorithms applied on graphs extracted from natural language documents.
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