Results 81 to 90 of about 645,699 (249)

Introducing and Evaluating a Measure of Lexical Diversity Across Word Classes

open access: yesTESOL Quarterly, EarlyView.
Abstract Lexical diversity (LD) has been shown to be a strong predictor of second language (L2) proficiency. However, most current indices combine all word classes into a single measure and thus only capture the broadest patterns of lexical variation.
Taehyeong Kim   +4 more
wiley   +1 more source

POS Tagging for English Language [PDF]

open access: yes, 2019
POS tagging is assignment a label or a tag to a word in an exceedingly sentence consistent with its parts-of-speech class. POS Tagging could be a method that attaches every word in an exceedingly sentence with an acceptable tag from a given set of tags ...
Saunshi, Girish   +2 more
core  

Parts-of-speech tagger for Sindhi language using deep neural network architecture

open access: yesMehran University Research Journal of Engineering and Technology
Language is a fundamental medium for human communication, encompassing spoken and written forms, each governed by grammatical rules. Sindhi, one of the oldest languages, is characterized by its rich morphology and grammatical structure.
Adnan Ali Memon   +3 more
doaj   +1 more source

Seasonal Dynamics of Community and Function of Gut Microbiome in Taihangshan Macaque (Macaca mulatta tcheliensis): Inferred From Metagenomic Data

open access: yesIntegrative Zoology, EarlyView.
A total of 435 non‐redundant metagenome‐assembled genomes (MAGs) were obtained from fecal samples of Taihangshan macaque across all four seasons. The alpha diversity of the gut microbiome in spring and winter was significantly higher than in summer and autumn. Furthermore, marked differences were detected in functional pathways and carbohydrate enzymes
Yanyan Zhou   +6 more
wiley   +1 more source

A POS Tagging Model Adapted to Learner English [PDF]

open access: yesProceedings of the 2018 EMNLP Workshop W-NUT: The 4th Workshop on Noisy User-generated Text, 2018
There has been very limited work on the adaptation of Part-Of-Speech (POS) tagging to learner English despite the fact that POS tagging is widely used in related tasks. In this paper, we explore how we can adapt POS tagging to learner English efficiently and effectively.
Ryo Nagata   +4 more
openaire   +1 more source

Diacritic Restoration and the Development of a Part-of-Speech Tagset for the Māori Language [PDF]

open access: yes, 2012
This thesis investigates two fundamental problems in natural language processing: diacritic restoration and part-of-speech tagging. Over the past three decades, statistical approaches to diacritic restoration and part-of-speech tagging have grown in ...
Cocks, John
core  

Leaders Are Somethin' Else: Behavioural Variation Associated With Roles During Tandem Running Recruitment

open access: yesEthology, EarlyView.
In this study, we found moderate to strong repeatabilities in behavioural variables measuring the personality traits: activity, aggressiveness and exploration. Similarly, the probability of acting as a leader during tandem running in an emigration event was moderately (R = 0.469) repeatable.
Maria Eduarda Lima Vieira   +4 more
wiley   +1 more source

POS Tagging for the Endangered Dagur Language

open access: yesProceedings of the Language Resources and Evaluation Conference
The application of natural language processing tools opens new ways for the documentation and revitalization of under-resourced languages. In this article we aim to investigate the feasibility of automatic part-of-speech (POS) tagging for Dagur, which is an endangered Mongolic language spoken mainly in northeast China, with no official written standard
Dolińska, Joanna, Bernhard, Delphine
openaire   +3 more sources

Modeling of learning curves with applications to POS tagging

open access: yesComputer Speech & Language, 2017
30 pages, 11 ...
Vilares Ferro, Manuel   +2 more
openaire   +3 more sources

From news to comment: Resources and benchmarks for parsing the language of web 2.0 [PDF]

open access: yes, 2011
We investigate the problem of parsing the noisy language of social media. We evaluate four all-Street-Journal-trained statistical parsers (Berkeley, Brown, Malt and MST) on a new dataset containing 1,000 phrase structure trees for sentences from ...
Foster, Jennifer   +6 more
core  

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