Statistical Models for Unsupervised Learning of Morphology and POS Tagging [PDF]
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
A Deep Learning-Based Approach for Part of Speech (PoS) Tagging in the Pashto Language
A fundamental task in natural language processing (NLP) is part of speech (PoS) tagging. PoS tagging is crucial to many NLP applications, including question answering, machine translation, syntactic parsing, speech recognition, and semantic parsing.
Shaheen Ullah +6 more
doaj +1 more source
Semi-supervised part-of-speech tagging in speech applications [PDF]
When no training or adaptation data is available, semisupervised training is a good alternative for processing new domains. We perform Bayesian training of a part-of-speech (POS) tagger from unannotated text and a dictionary of possible tags for each word. We complement that method with supervised prediction of possible tags for out-of-vocabulary words
Richard Dufour, Benoît Favre
openaire +1 more source
Mass spectrometry based identification of AMP‐O‐Tris generated by Thermococcus onnurineus Cas10
Isolated Thermococcus onnurineus Cas10 generates the noncanonical ATP‐derived product AMP‐O‐Tris while in Tris‐containing buffer as identified via mass spectrometry, revealing relaxed nucleophile selectivity under isolated conditions. These findings suggest that multiprotein Csm complex assembly restricts Cas10 reactivity toward canonical cyclic ...
Su‐Jin Lee +6 more
wiley +1 more source
A Depolarizing Leak in Sodium Bicarbonate Cotransporter NBCe1 Causes Brain Edema
ABSTRACT Objectives SLC4A4 encodes electrogenic sodium bicarbonate cotransporter NBCe1, prominently expressed in kidney and brain. Recessive loss‐of‐function variants in SLC4A4 cause proximal renal tubular acidosis, no brain edema. In the brain, NBCe1 is expressed by astrocytes, where it regulates pH and mediates astrocyte volume changes.
Quinty Bisseling +16 more
wiley +1 more source
Screening Routine Clinical Notes for Epilepsy Surgery Candidates Using Large Language Models
ABSTRACT Objective Epilepsy surgery is severely underutilized despite proven efficacy, with substantial under‐referral of eligible patients in routine clinical practice. This study evaluated the potential role of large language models (LLMs) as decision‐support tools for screening unstructured clinical notes to identify epilepsy surgery candidates and ...
Uriel Fennig +9 more
wiley +1 more source
Part-of-Speech Tagging for Twitter: Annotation, Features, and Experiments
We address the problem of part-of-speech tagging for English data from the popular microblogging service Twitter. We develop a tagset, annotate data, develop features, and report tagging results nearing 90% accuracy.
Michael Heilman (5362376) +9 more
core +1 more source
MALAY PART OF SPEECH TAGGER: A COMPARATIVE STUDY ON TAGGING TOOLS
Malay language is an agglutinative language which rich morphology. Affixation to a root word is the most common morphological processes used to derive a new word for other meaning that would affect the change in their part of speech (POS ...
Hassan Mohamed +2 more
doaj +1 more source
Towards Defect Phase Diagrams: From Research Data Management to Automated Workflows
A research data management infrastructure is presented for the systematic integration of heterogeneous experimental and simulation data required for defect phase diagrams. The approach combines openBIS with a companion application for large‐object storage, automated metadata extraction, provenance tracking and federated data access, thereby supporting ...
Khalil Rejiba +5 more
wiley +1 more source
Joint Arabic Segmentation and Part-Of-Speech Tagging [PDF]
Arabic has a very complex morphological system, though a very structured one. Character patterns are often indicative of word class and word segmentation. In this paper, we explore a novel approach to Arabic word segmentation and part-of-speech tagging relying on character information. The approach is lexicon-free and does not require any morphological
McNaught, John, AlGahtani, Shabib
openaire +3 more sources

