Results 21 to 30 of about 645,699 (249)
POS-tagging of Historical Dutch [PDF]
Proceedings of the Language Resources and Evaluation Conference, 2016 We present a study of the adequacy of current methods that are used for POS-tagging historical Dutch texts, as well as an exploration of the influence of employing different techniques to improve upon the current practice. The main focus of this paper is on (unsupervised) methods that are easily adaptable for different domains without requiring ...
Hupkes, D., Bod, R.
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The infinite HMM for unsupervised PoS tagging [PDF]
Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing Volume 2 - EMNLP '09, 2009 We extend previous work on fully unsupervised part-of-speech tagging. Using a non-parametric version of the HMM, called the infinite HMM (iHMM), we address the problem of choosing the number of hidden states in unsupervised Markov models for PoS tagging.
Jurgen Van Gael +2 more
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To POS Tag or Not to POS Tag: The Impact of POS Tags on Morphological Learning in Low-Resource Settings [PDF]
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), 2021 Part-of-Speech (POS) tags are routinely included as features in many NLP tasks. However, the importance and usefulness of POS tags needs to be examined as NLP expands to low-resource languages because linguists who provide many annotated resources do not place priority on early identification and tagging of POS.
Sarah R. Moeller, Ling Liu, Mans Hulden
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Make the Best of Cross-lingual Transfer: Evidence from POS Tagging with over 100 Languages
Annual Meeting of the Association for Computational Linguistics, 2022 Cross-lingual transfer learning with large multilingual pre-trained models can be an effective approach for low-resource languages with no labeled training data. Existing evaluations of zero-shot cross-lingual generalisability of large pre-trained models
Wietse de Vries +2 more
semanticscholar +1 more source
Part of speech tagging: a systematic review of deep learning and machine learning approaches
Journal of Big Data, 2022 Natural language processing (NLP) tools have sparked a great deal of interest due to rapid improvements in information and communications technologies. As a result, many different NLP tools are being produced.
Alebachew Chiche, Betselot Yitagesu
doaj +1 more source
ACM Trans. Asian Low Resour. Lang. Inf. Process., 2022 Over the past few years, researchers are showing huge interest in sentiment analysis and summarization of documents. The primary reason being that huge volumes of information are available in textual format, and this data has proven helpful for real ...
Sindhya K. Nambiar +2 more
semanticscholar +1 more source
Is POS Tagging Necessary or Even Helpful for Neural Dependency Parsing? [PDF]
Natural Language Processing and Chinese Computing, 2020 In the pre deep learning era, part-of-speech tags have been considered as indispensable ingredients for feature engineering in dependency parsing. But quite a few works focus on joint tagging and parsing models to avoid error propagation.
Yu Zhang +3 more
semanticscholar +1 more source
Egyptian Informatics Journal, 2021 This paper describes how a simple novel Galois Power-of-Two (GPOW2) real-time embedding scheme is used to improve the performance and accuracy of downstream NLP tasks.
Mohammed A. ELAffendi +2 more
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Lexical Normalization for Code-switched Data and its Effect on POS Tagging [PDF]
Conference of the European Chapter of the Association for Computational Linguistics, 2020 Lexical normalization, the translation of non-canonical data to standard language, has shown to improve the performance of many natural language processing tasks on social media. Yet, using multiple languages in one utterance, also called code-switching (
Rob van der Goot, Özlem Çetinoğlu
semanticscholar +1 more source
A Machine Learning Approach to POS Tagging [PDF]
Machine Learning, 2000 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Lluís Màrquez +2 more
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