Results 31 to 40 of about 2,548,688 (244)
Lost in Translation: Word Sense Disambiguation. [PDF]
, 2004 In natural languages, a word can take on different meanings in different contexts. Word sense disambiguation (WSD) refers to the task of determining the correct meaning or sense of a word in ...
Lian Tze, Lim, Tang, Enya Kong
core +1 more source
Name Disambiguation Analysis Using the Word Sense Disambiguation Method in Hadith
Edumatic, 2020 Name disambiguation is the problem solving process to find similar names in sentences. The ambiguity of names can be found in hadith of Sahih Bukhari, names "Abdullah bin Amru" in hadiths no 27 and “Abdullah bin Amru†in hadith no 58, These names are
Ageng Prasetio +2 more
doaj +1 more source
Word Sense Disambiguation [PDF]
, 2012 Word-sense disambiguation (WSD) is the process of identifying the meanings of words in context. This article begins with discussing the origins of the problem in the earliest machine translation systems. Early attempts to solve the WSD problem suffered from a lack of coverage.
Mark Stevenson, Yorick Wilks
openaire +2 more sources
WORD SENSE DISAMBIGUATION FOR TAMIL LANGUAGE USING PART-OF-SPEECH AND CLUSTERING TECHNIQUE [PDF]
Journal of Engineering Science and Technology, 2017 Word sense disambiguation is an important task in Natural Language Processing (NLP), and this paper concentrates on the problem of target word selection in machine translation.
P. ISWARYA, V. RADHA
doaj
Sentence similarity-based source context modelling in PBSMT [PDF]
, 2010 Target phrase selection, a crucial component of the state-of-the-art phrase-based statistical machine translation (PBSMT) model, plays a key role in generating accurate translation hypotheses. Inspired by context-rich word-sense disambiguation techniques,
Rejwanul Haque +9 more
core +2 more sources
A Corpus-Based Word Sense Disambiguation For Geez Language
Ethiopian Journal of Science and Sustainable Development, 2021 In natural language processing, languages have a number of ambiguous words and solving such kind of problem for the language can help the development of word sense disambiguation using corpusbased Approach.
Amlakie Aschale Alemu, Kinde Anlay Fante
doaj +1 more source
Attention Neural Network for Biomedical Word Sense Disambiguation
Discrete Dynamics in Nature and Society, 2022 In order to improve the disambiguation accuracy of biomedical words, this paper proposes a disambiguation method based on the attention neural network. The biomedical word is viewed as the center. Morphology, part of speech, and semantic information from
Chun-Xiang Zhang +4 more
doaj +1 more source
Word sense disambiguation for spam filtering
Electronic Commerce Research and Applications, 2012 Spam has become a major issue in computer security because it is a channel for threats such as computer viruses, worms, and phishing. More than 86% of received e-mails are spam. Historical approaches to combating these messages, including simple techniques such as sender blacklisting or the use of e-mail signatures, are no longer completely reliable ...
Carlos Laorden +4 more
openaire +2 more sources
Capturing lexical variation in MT evaluation using automatically built sense-cluster inventories [PDF]
, 2009 The strict character of most of the existing Machine Translation (MT) evaluation metrics does not permit them to capture lexical variation in translation.
He, Yifan +2 more
core +1 more source
Grounding Large Language Models for Robot Task Planning Using Closed‐Loop State Feedback
Advanced Robotics Research, EarlyView.BrainBody‐Large Language Model (LLM) introduces a hierarchical, feedback‐driven planning framework where two LLMs coordinate high‐level reasoning and low‐level control for robotic tasks. By grounding decisions in real‐time state feedback, it reduces hallucinations and improves task reliability.
Vineet Bhat +4 more
wiley +1 more source