Results 61 to 70 of about 645,699 (249)
Statistical POS tagging experiments on Persian text [PDF]
, 2007 Part-Of-Speech (POS) tagging is the process of marking-up the words in a text with their corresponding parts of speech. It is an essential part of text and natural language processing.
S Tasharofi (20183904) +2 more
core +2 more sources
A Twitter Corpus for Hindi-English Code Mixed POS Tagging
SocialNLP@ACL, 2018 Code-mixing is a linguistic phenomenon where multiple languages are used in the same occurrence that is increasingly common in multilingual societies. Code-mixed content on social media is also on the rise, prompting the need for tools to automatically ...
Kushagra Singh +2 more
semanticscholar +1 more source
Joint POS Tagging and Dependence Parsing With Transition-Based Neural Networks [PDF]
IEEE/ACM Transactions on Audio Speech and Language Processing, 2017 While part-of-speech (POS) tagging and dependency parsing are observed to be closely related, existing work on joint modeling with manually crafted feature templates suffers from the feature sparsity and incompleteness problems. In this paper, we propose
Liner Yang +5 more
semanticscholar +1 more source
Advanced Science, EarlyView.Super‐multiplexed Label‐free Raman Imaging (SLRI) enables 2D/3D metabolic mapping of intact Drosophila testes. Moving beyond descriptive morphology, it establishes a multidimensional tool for tissue metabolic remodeling, and offers a generalizable platform for complex tissue analysis, with implications extending to development and disease. ABSTRACT The
Jiaxin Li +23 more
wiley +1 more source
Statistical Models for Unsupervised Learning of Morphology and POS Tagging [PDF]
, 2011 This thesis concentrates on two fields in natural language processing. The main contribution of the thesis is in the field of morphology learning. Morphology is the study of how words are formed combining different language constituents (called morphemes)
Can, Burcu
core
Advanced Intelligent Discovery, EarlyView.An end‐to‐end knowledge discovery framework is established to automate high‐precision property extraction from small, specialized literature corpora. Utilizing a domain‐specific bidirectional encoder representation from a transformer model and data augmentation, the system accurately extracts and structures electrolyte performance data, ultimately ...
Gaheun Shin +4 more
wiley +1 more source
Evaluating POS tagging under sub-optimal conditions : or: does meticulousness pay? [PDF]
, 2000 In this paper, we investigate the role of sub-optimality in training data for part-of-speech tagging. In particular, we examine to what extent the size of the training corpus and certain types of errors in it affect the performance of the tagger.
Kübler, Sandra, Wagner, Andreas
core
Neural Sequence Labeling for Vietnamese POS Tagging and NER [PDF]
Conference on Research, Innovation and Vision for the Future in Computing & Communication Technologies, 2018 This paper presents a neural architecture for Vietnamese sequence labeling tasks including part-of-speech (POS) tagging and named entity recognition (NER).
Duong Nguyen Anh +2 more
semanticscholar +1 more source
Pracaxi Oil as a Potential Inhibitor of Fat Bloom
Journal of the American Oil Chemists' Society, EarlyView.ABSTRACT Fat bloom is one of the major technological challenges faced by the chocolate industry, caused by the polymorphic transition from β2(V) to β1(VI) crystals in cocoa butter (CB). One strategy to slow down this polymorphic transition is the addition of lipids rich in very long chain fatty acids (VLCFA), such as behenic acid.
Victoria Marques Gropelli +4 more
wiley +1 more source
POS tagging for German : how important is the right context? [PDF]
, 2008 Part-of-Speech tagging is generally performed by Markov models, based on bigram or trigram models. While Markov models have a strong concentration on the left context of a word, many languages require the inclusion of right context for correct ...
Ivanova, Steliana, Kübler, Sandra
core