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Part-of-speech tagging with neural networks [PDF]
Proceedings of the 15th conference on Computational linguistics -, 1994 5 ...
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Part-of-Speech Tagging for Historical English [PDF]
Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2016 As more historical texts are digitized, there is interest in applying natural language processing tools to these archives. However, the performance of these tools is often unsatisfactory, due to language change and genre differences. Spelling normalization heuristics are the dominant solution for dealing with historical texts, but this approach fails ...
Yi Yang 0038, Jacob Eisenstein
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Part of Speech Tagging: Shallow or Deep Learning?
Northern European Journal of Language Technology, 2018 Deep neural networks have advanced the state of the art in numerous fields, but they generally suffer from low computational efficiency and the level of improvement compared to more efficient machine learning models is not always significant. We perform
Robert Östling
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Part of speech tagging for Mongolian corpus [PDF]
Proceedings of the 7th Workshop on Asian Language Resources - ALR7, 2009 This paper introduces the current result of a research work which aims to build a 5 million tagged word corpus for Mongolian. Currently, around 1 million words have been automatically tagged by developing a POS tagset and a bigram POS tagger.
Purev Jaimai, Odbayar Chimeddorj
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Morphological Analysis of the Slovak Language
Advances in Electrical and Electronic Engineering, 2015 This paper proposes a new statistic-based method of segmenting words by identification of a suffix. Ability to identify suffix can improve morphological analysis by allowing the classifier to assign tags to words previously unseen in the training corpus.
Daniel Hladek, Jan Stas, Josef Juhar
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Detecting proper nouns in indonesian-language translation of the quran using a guided method
Journal of King Saud University: Computer and Information Sciences, 2020 Proper nouns (often abbreviated PN or NNP) are a class of words important in labelling and subsequent text processing, especially in natural language processing (NLP). Name entity recognition (NER) is one study that requires PN.
Suwanto Raharjo +2 more
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Implementation of Kadazan Tagger Based on Brill's Method
Journal of ICT Research and Applications, 2014 We present and evaluate the implementation of Part of Speech (POS) Tagging for the Kadazan language by using the Transformation-based approach. The main purpose of this study is to develop an automatic POS tagging for the Kadazan language, which had ...
Marylyn Alex, Lailatul Qadri Zakaria
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Morphological Tagging and Lemmatization in the Albanian Language
SEEU Review, 2021 An important element of Natural Language Processing is parts of speech tagging. With fine-grained word-class annotations, the word forms in a text can be enhanced and can also be used in downstream processes, such as dependency parsing.
Mati Diellza Nagavci +2 more
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Grammar-Supervised End-to-End Speech Recognition with Part-of-Speech Tagging and Dependency Parsing
Applied Sciences, 2023 For most automatic speech recognition systems, many unacceptable hypothesis errors still make the recognition results absurd and difficult to understand.
Genshun Wan +5 more
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Part-of-Speech Tagging Without Training [PDF]
, 2004 The development of the Internet and the World Wide Web can be either a threat to the survival of indigenous languages or an opportunity for their development. The choice between cultural diversity and linguistic uniformity is in our hands and the outcome depends on our capability to devise, design and use tools and techniques for the processing of ...
Bressan, S., Indradjaja, L.S.
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