Results 71 to 80 of about 3,469 (183)
The double modal construction in English world wide
Abstract The dual foci of the present study of double modals are their semantic characteristics and their distribution across regional varieties of English world wide. Tokens were extracted from GloWbE:Blogs, a database whose great size and informal tenor facilitated the investigation of this low‐frequency non‐standard feature. Double modals were found
Peter Collins, Adam Smith
wiley +1 more source
A Data-Driven Model for Automated Chinese Word Segmentation and POS Tagging. [PDF]
Xu Q, Wang Z.
europepmc +1 more source
ABSTRACT This study examined whether enzymatic modification of soybean oil (SBO) can be tailored to produce trans‐free fats with physicochemical properties comparable to palm olein, stearin, or palm‐mid fractions (PMFs). US‐grown SBO was modified by lipase‐catalyzed acidolysis using palmitic acid at linearly interpolated substrate molar ratios (C16:0 ...
Ityotagher P. Aondoakaa +2 more
wiley +1 more source
Towards Developing a Comprehensive Tag Set for the Arabic Language
This paper presents a comprehensive Tag set as a fundamental component for developing an automated Word Class/Part-of-Speech (PoS) tagging system for the Arabic language.
Alqrainy Shihadeh, Alawairdhi Muhammed
doaj +1 more source
Corpus Bootstrapping for Syriac Linguistics
The present article summarises a bootstrapping approach to Syriac corpus linguistics that gives freedom for Syriac researchers to apply part-of-speech (POS) tagging technology on texts of their choice using the SEDRA API mechanism and offers an annotated
Charbel El-Khaissi
doaj +1 more source
Working with corpora in the South African Bantu languages has up till now been limited to the utilisation of raw corpora. Such corpora, however, have limited functionality.
E. Taljard +3 more
doaj +1 more source
BatteryDataExtractor: battery-aware text-mining software embedded with BERT models. [PDF]
Huang S, Cole JM.
europepmc +1 more source
#hardtoparse: POS Tagging and Parsing the Twitterverse
We evaluate the statistical dependency parser, Malt, on a new dataset of sentences taken from tweets. We use a version of Malt which is trained on gold standard phrase structure Wall Street Journal (WSJ) trees converted to Stanford labelled dependencies.
Foster, Jennifer +7 more
openaire +3 more sources
Penelitian ini berfokus pada penerapan Conditional Random Fields (CRF) untuk Part of Speech (POS) Tagging dalam bahasa Madura. Mengingat keterbatasan sumber daya pemrosesan bahasa alami (NLP) untuk bahasa daerah, khususnya bahasa Madura, studi ini ...
Rizky Sulaiman, Setio Basuki
doaj +3 more sources
A Hybrid Neural-CRF Framework for Assamese Part-of-Speech Tagging
Natural Language Processing (NLP) involves computational techniques for analyzing and understanding human languages. Part-of-Speech (POS) tagging, a fundamental NLP task, assigns grammatical categories to words in text.
Rituraj Phukan +4 more
doaj +1 more source

