Results 141 to 150 of about 3,469 (183)

Multi-task learning by using contextualized word representations for syntactic parsing of a morphologically rich language. [PDF]

PLoS One
Ehsan T, Butt M, Hussain S, Alhuzali H, Al-Laith A.   +4 more
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A Systematic Review on POS Tagging

2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE), 2022
R. V. Siva Balan, Kirti Walia, Kavita Gupta   +2 more
exaly   +2 more sources

Deep Learning for Multilingual POS Tagging

2020
Various neural networks for sequence labeling tasks have been studied extensively in recent years. The main research focus on neural networks for the task are range from the feed-forward neural network to the long short term memory (LSTM) network with CRF layer. This paper summarizes the existing neural architectures and develop the most representative
Alymzhan Toleu, Gulmira Tolegen, Rustam Mussabayev   +2 more
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An Experimental Study on Vietnamese POS Tagging

2009 International Conference on Asian Language Processing, 2009
In Natural Language Processing (NLP), Part-of-speech tagging is one of the important tasks. It, however, has not drawn much attention of Vietnamese researchers all over the world. In this paper, we present an experimental study on Vietnamese POS tagging.
Oanh Thi Tran, Cuong Anh Le, Quang-Thuy Ha, Quynh Hoang Le   +3 more
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Unsupervised multilingual learning for POS tagging

Proceedings of the Conference on Empirical Methods in Natural Language Processing - EMNLP '08, 2008
We demonstrate the effectiveness of multilingual learning for unsupervised part-of-speech tagging. The key hypothesis of multilingual learning is that by combining cues from multiple languages, the structure of each becomes more apparent. We formulate a hierarchical Bayesian model for jointly predicting bilingual streams of part-of-speech tags.
Benjamin Snyder, Tahira Naseem, Jacob Eisenstein, Regina Barzilay   +3 more
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Coupled POS Tagging on Heterogeneous Annotations

IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2017
The limited scale and genre coverage of labeled data greatly hinders the effectiveness of supervised models, especially when analyzing spoken languages, such as texts transcribed from speech and informal text including tweets and product comments in Internet.
Zhenghua Li, Jiayuan Chao, Min Zhang 0005, Wenliang Chen, Meishan Zhang, Guohong Fu   +5 more
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PoS Tagging for Classical Chinese Text

2015
The Chinese language is evolving over the centuries. In order to study the changes of Chinese language using computational methods, segmentation and PoS tagging of Chinese are essential. However, segmentation and PoS tagging methods developed for Modern Standard Chinese do not perform well for Classical Chinese. The cost of segmenting and annotation is
Tin-Shing Chiu, Qin Lu 0001, Jian Xu 0014, Dan Xiong, Fengju Lo   +4 more
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Improving POS tagging for ungrammatical phrases

Proceedings of the 2012 Joint International Conference on Human-Centered Computer Environments, 2012
Modern part-of-speech (POS) tagging tools can provide high quality markup for grammatically correct documents, but ungrammatical sentences can be challenging for them. In the present paper we study the problem of POS-tagging for the texts that contain grammatical errors, and show how POS-taggers can be improved for the use in this context. Specifically,
Daisuke Ninomiya, Maxim Mozgovoy
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POS Tagging for Arabic Tweets. [PDF]

, 2015
Part-of-Speech (POS) tagging is a key stepin many NLP algorithms. However, tweetsare difficult to POS tag because there aremany phenomena that frequently appear inTwitter that are not as common, or are entirelyabsent, in other domains: tweets areshort, are not always written maintainingformal grammar and proper spelling, andabbreviations are often used
Albogamy, Fahad, Ramsay, Allan
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The effect of learner errors on POS tag errors during automatic POS tagging

Southern African Linguistics and Applied Language Studies, 2002
The use of a corpus as a language resource is enhanced when it is part of speech (POS) tagged. There are a number of computer tagging programs (taggers) available. In order to decide which taggers to use to POS tag the Tswana Learner English Corpus (TLEC), the performance of three taggers (TOSCA-ICLE, Brill tagger, and CLAWS) was evaluated on a small ...
van Rooy, Bertus, Schäfer, Lande
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