Results 151 to 160 of about 3,469 (183)
Some of the next articles are maybe not open access.
2000
Traditional part of speech tagging assigns very limited information to lexical items, thus providing only limited help for parsing. To solve this problem, [14] extends the notion of POS by introducing Supertags, within the framework of Lexicalized Tree Adjoining Grammars (LTAGs).
openaire +1 more source
Traditional part of speech tagging assigns very limited information to lexical items, thus providing only limited help for parsing. To solve this problem, [14] extends the notion of POS by introducing Supertags, within the framework of Lexicalized Tree Adjoining Grammars (LTAGs).
openaire +1 more source
A Study of the Influence of PoS Tagging on WSD
2006In this paper we discuss to what extent the choice of one particular Part-of-Speech (PoS) tagger determines the results obtained by a word sense disambiguation (WSD) system We have chosen several PoS taggers and two WSD methods By combining them, and using different kind of information, several experiments have been carried out The WSD systems have ...
Lorenza Moreno-Monteagudo +3 more
openaire +1 more source
On the Road to High-Quality POS-Tagging
2005In this paper, we present techniques aimed at avoiding typical errors of state-of-the-art POS-taggers and at constructing high-quality POS-taggers with extremely low error rates. Such taggers are very helpful, if not even necessary, for many NLP applications organized in a pipeline architecture.
Stefan Klatt, Karel Oliva
openaire +1 more source
A BERT Based Approach for Arabic POS Tagging
2021Large pre-trained language models, such as BERT, have recently achieved state-of-the-art performance in different natural language processing tasks. However, BERT based models in Arabic language are less abundant than in other languages. This paper aims to design a grammatical tagging system for texts in Arabic language using BERT.
Rakia Saidi +2 more
openaire +1 more source
Experimental Study of Chinese POS Tagging
Proceedings of the 2018 2nd International Conference on Computer Science and Artificial Intelligence, 2018Chinese POS tagging is an important task in Chinese information processing, and many other Chinese natural language processing tasks are dependent on it. Nowadays, there exist a lot of approaches to Chinese POS tagging, and they exploit different machine learning frameworks. We conducted experiments on the People Daily corpus for 6 tagging methods from
openaire +1 more source
Improved pos tagging for text-to-speech synthesis
2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2011One of the fundamental building blocks of text processing for text-to-speech (TTS) synthesis is the assignment of a part-of-speech (POS) tag to each input word. POS tags are heavily relied upon for downstream natural language analysis and prosody rendering.
Ming Sun, Jerome R. Bellegarda
openaire +1 more source
Tuning SyntaxNet for POS Tagging Italian Sentences
2017SyntaxNet is the NLP framework released by Google in 2016, claimed by its authors as the most accurate dependency parser over across 40 languages beyond English. It relies on a transition-based model implementing POS tagger and dependency parser modules.
Fiammetta Marulli +4 more
openaire +4 more sources
POS-Tagging Enhanced Korean Text Summarization
2017Information explosion causes a serious scarcity of people’s time and a severe divergence of people’s attention. This paper addresses the issue of automatic summarization for Korean texts and presents a novel keyword-extraction-based Korean text summarization (KKTS) algorithm. We investigate the enhancement of POS-tagging to the KKTS algorithm according
Wuying Liu, Lin Wang 0020
openaire +1 more source
Improved Joint Kazakh POS Tagging and Chunking
2016This paper describes a mixing model of joint POS tagging and chunking for Kazakh where partial optimal solution provide feature information for joint model. A improved beam-search algorithm use dynamic beam instead of unified beam to obtain search space of small-but-excellent during both training and decoding phases of the model.
Hao Wu, Gulila Altenbek
openaire +1 more source
Fake News Detection Using Pos Tagging and Machine Learning
Journal of Applied Security Research, 2023Afreen Kansal
exaly