Results 261 to 270 of about 7,575 (302)

A comparative study of Arabic syntactic analyzers. [PDF]

Front Artif Intell
Saadiyeh O, Ramadan A, Hajjar M, Bernard G.   +3 more
europepmc   +1 more source

Multi-label software requirement smells classification using deep learning. [PDF]

Sci Rep
Alem AL, Gebretsadik KK, Mengistie SA, Admas MF.   +3 more
europepmc   +1 more source

Research on quantitative assessment of translation quality from the perspective of phraseology. [PDF]

PLoS One
He B, Wang J, Wang Y.
europepmc   +1 more source

Part-of-Speech Tagging Using Evolutionary Computation

Studies in Computational Intelligence, 2014
Part-of-speech tagging is a task of considerable importance in the field of natural language processing. Its purpose is to automatically tag the words of a text with labels that designate the appropriate parts-of-speech. The approach proposed in this paper divides the problem into two tasks: a learning task and an optimization task. Algorithms from the
Ana Paula Silva, Arlindo Silva
exaly   +4 more sources

Part of Speech Tagging

, 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
core   +3 more sources

Part of speech tagging for Arabic

Natural Language Engineering, 2011
AbstractThis paper presents an investigation of part of speech (POS) tagging for Arabic as it occurs naturally, i.e. unvocalized text (without diacritics). We also do not assume any prior tokenization, although this was used previously as a basis for POS tagging. Arabic is a morphologically complex language, i.e.
Sandra Kübler, Emad Mohamed
openaire   +2 more sources

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Part-of-Speech Tagging by Latent Analogy

IEEE Journal on Selected Topics in Signal Processing, 2010
Part-of-speech tagging is often a critical first step in various speech and language processing tasks. High-accuracy taggers (e.g., based on conditional random fields) rely on well chosen feature functions to ensure that important characteristics of the empirical training distribution are reflected in the trained model.
Jérôme R Bellegarda
exaly   +2 more sources

Part-of-Speech Tagging

2012
This article outlines the recently used methods for designing part-of-speech taggers; computer programs for assigning contextually appropriate grammatical descriptors to words in texts. It begins with the description of general architecture and task setting. It gives an overview of the history of tagging and describes the central approaches to tagging.
Cícero Nogueira dos Santos, Ruy Luiz Milidiú   +1 more
  +4 more sources

Part of Speech Tagging

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.
openaire   +2 more sources

Corpus based part-of-speech tagging

International Journal of Speech Technology, 2016
In natural language processing, a crucial subsystem in a wide range of applications is a part-of-speech (POS) tagger, which labels (or classifies) unannotated words of natural language with POS labels corresponding to categories such as noun, verb or adjective.
Chengyao Lv, Huihua Liu, Yuanxing Dong, Yunliang Chen   +3 more
openaire   +1 more source