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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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Improving POS tagging for ungrammatical phrases
Proceedings of the 2012 Joint International Conference on Human-Centered Computer Environments, 2012Modern 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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The effect of learner errors on POS tag errors during automatic POS tagging
Southern African Linguistics and Applied Language Studies, 2002The 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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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).
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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).
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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
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A hybrid Arabic POS tagging for simple and compound morphosyntactic tags
International Journal of Speech Technology, 2015The objective of this work is to develop a POS tagger for the Arabic language. This analyzer uses a very rich tag set that gives syntactic information about proclitic attached to words. This study employs a probabilistic model and a morphological analyzer to identify the right tag in the context.
Nabil Ababou, Azzeddine Mazroui
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An empirical study on POS tagging for Vietnamese social media text
Computer Speech and Language, 2018Part-of-speech (POS) tagging is a fundamental task in natural language processing (NLP). A robust POS tagger plays an important role in most NLP problems and applications, including syntactic parsing, semantic parsing, machine translation, and question ...
Ngo Xuan Bach +2 more
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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
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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
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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
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