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The analysis of bidirectional long short-term memory network model for construction of cultural gene map and information extraction. [PDF]
Sci RepDing X, Wang J.
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Speech analytics across the schizophrenia spectrum disorders: multimodal natural language processing and machine learning modelling in a Chinese-speaking population. [PDF]
Front PsychiatryLiu J +7 more
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Wiley Interdisciplinary Reviews: Computational Statistics, 2012
This chapter presents the application of ETL to language independent part-of-speech (POS) tagging. The POS tagging task consists in assigning a POS or another lexical class marker to each word in a text. We apply ETL and ETL Committee to four different corpora in three different languages: Portuguese, German and English.
Cícero Nogueira dos Santos +1 more
exaly +5 more sources
This chapter presents the application of ETL to language independent part-of-speech (POS) tagging. The POS tagging task consists in assigning a POS or another lexical class marker to each word in a text. We apply ETL and ETL Committee to four different corpora in three different languages: Portuguese, German and English.
Cícero Nogueira dos Santos +1 more
exaly +5 more sources
2017
One of the fundamental tasks in natural-language processing is the morpho-lexical disambiguation of words occurring in text. Over the last twenty years or so, approaches to part-of-speech tagging based on machine learning techniques have been developed or ported to provide high-accuracy morpho-lexical annotation for an increasing number of languages ...
Dan Tufiș, Radu Ion
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One of the fundamental tasks in natural-language processing is the morpho-lexical disambiguation of words occurring in text. Over the last twenty years or so, approaches to part-of-speech tagging based on machine learning techniques have been developed or ported to provide high-accuracy morpho-lexical annotation for an increasing number of languages ...
Dan Tufiș, Radu Ion
openaire +2 more sources
Part of Speech Tagging Using Part of Speech Sequence Graph
Annals of Data Science, 2021Part of speech tagging is one of the most fundamental needs of intelligent text processing, which is assigning the most appropriate grammatical category to each word on the text. Hence, provision of a tagger with high accuracy for the Persian language is the major priority of this article.
Pejman Gholami-Dastgerdi +1 more
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WIREs Computational Statistics, 2011
AbstractPresented here is a brief state‐of‐the‐art account on part‐of‐speech (POS) tagging. POS tagging is an essential preprocessing task for many natural language processing goals and applications. Some POS tagging approaches make use of annotated corpora to train computational models to perform the task with minimal human intervention.
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AbstractPresented here is a brief state‐of‐the‐art account on part‐of‐speech (POS) tagging. POS tagging is an essential preprocessing task for many natural language processing goals and applications. Some POS tagging approaches make use of annotated corpora to train computational models to perform the task with minimal human intervention.
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Phrase-based Part-of-Speech Tagging
2007 International Conference on Natural Language Processing and Knowledge Engineering, 2007This paper presents a new approach to part-of-speech (POS) tagging in which the basic unit being tagged is a contiguous sequence of words rather than a single word. We run experiments on two different tagsets: the UPENN treebank and a treebank annotated with more ambiguous tags that have a semantic component.
Andrew Finch, Eiichiro Sumita
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