Predicting meaning extensions How does polysemy affect machine translation and natural language processing?

Polysemy affects a large amount of vocabulary from a variety of syntactic cate- gories: some of Pietroski's examples include rabbit, green, star, tofu, Venice, ... ... informational texts. ... Multiple-meaning Words: Teach words that can be used as nouns or verbs and parts of idioms so students know how to use polysemous words ... Sep 6, 2020 ... ... Meaning: Informational. Semantics of Short Scientific Texts by Neslihan Suzen ... polysemous words. In LSA, when each word is represented as a ... The word representations generated by GloVe capture some semantic information between words. ... polysemous word to the query can lead to topic drift). To address ... become less polysemous. Music. 10. Marshall Heiser (Queensland Conservatorium ... information with its full meaning. Following this idea, Ruyer avoided a ... knowledge based methods use semantic dictionary information such word ... Automatically determining the correct sense of a polysemous word is a complicated ... Oct 10, 2019 ... ... information about words and ... The multifaceted, polysemous nature of word knowledge also means that vocabulary learning is incremental. The use of polysemous words compounds the challenge of extracting the correct meaning, particularly for patients accessing information in their nondominant ... Jul 24, 2024 ... word polysemy. Additionally, static word ... contextual information, which in turn makes word embedding richer in semantic information. Oct 25, 2020 ... It can improve numerous NLP applications such as machine translation, text summarization, information retrieval, or sentiment analysis. This ...