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Distributional Part-of-Speech Tagging [PDF]
Proceedings of the seventh conference on European chapter of the Association for Computational Linguistics -, 1995 This paper presents an algorithm for tagging words whose part-of-speech properties are unknown. Unlike previous work, the algorithm categorizes word tokens in context instead of word types. The algorithm is evaluated on the Brown Corpus.
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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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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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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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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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Chunking clinical text containing non-canonical language [PDF]
, 2014 Free text notes typed by primary care physicians during patient consultations typically contain highly non-canonical language. Shallow syntactic analysis of free text notes can help to reveal valuable information for the study of disease and treatment ...
Carroll, John +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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Part of Speech Tagging of Marathi Text Using Trigram Method [PDF]
, 2013 In this paper we present a Marathi part of speech tagger. It is a morphologically rich language. It is spoken by the native people of Maharashtra. The general approach used for development of tagger is statistical using trigram Method.
Joshi, Nisheeth +2 more
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Do Multi-Sense Embeddings Improve Natural Language Understanding? [PDF]
, 2015 Learning a distinct representation for each sense of an ambiguous word could lead to more powerful and fine-grained models of vector-space representations. Yet while `multi-sense' methods have been proposed and tested on artificial word-similarity tasks,
Jurafsky, Dan, Li, Jiwei
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ReqTagger: A Rule-Based Tagger for Automatic Glossary of Terms Extraction from Ontology Requirements
Foundations of Computing and Decision Sciences, 2022 Glossary of Terms extraction from textual requirements is an important step in ontology engineering methodologies. Although initially it was intended to be performed manually, last years have shown that some degree of automatization is possible. Based on
Wiśniewski Dawid +2 more
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