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Comparison of text preprocessing methods
CP Chai - Natural Language Engineering, 2023 - cambridge.org
Text preprocessing is not only an essential step to prepare the corpus for modeling but also
a key area that directly affects the natural language processing (NLP) application results. For …
a key area that directly affects the natural language processing (NLP) application results. For …
Studying the effect and treatment of misspelled queries in cross-language information retrieval
In contrast with their monolingual counterparts, little attention has been paid to the effects
that misspelled queries have on the performance of Cross-Language Information Retrieval …
that misspelled queries have on the performance of Cross-Language Information Retrieval …
Building a biomedical tokenizer using the token lattice design pattern and the adapted Viterbi algorithm
Background Tokenization is an important component of language processing yet there is no
widely accepted tokenization method for English texts, including biomedical texts. Other than …
widely accepted tokenization method for English texts, including biomedical texts. Other than …
Managing misspelled queries in IR applications
Our work concerns the design of robust information retrieval environments that can
successfully handle queries containing misspelled words. Our aim is to perform a …
successfully handle queries containing misspelled words. Our aim is to perform a …
[PDF][PDF] A reconfigurable stochastic tagger for languages with complex tag structure
We present a case study of a complex stochastic disambiguator of alternatives of
morphosyntactic tags which allows for using incomplete disambiguation, shorthand tag …
morphosyntactic tags which allows for using incomplete disambiguation, shorthand tag …
Extraction of complex index terms in non-English IR: A shallow parsing based approach
The performance of information retrieval systems is limited by the linguistic variation present
in natural language texts. Word-level natural language processing techniques have been …
in natural language texts. Word-level natural language processing techniques have been …
Contextual spelling correction
Spelling correction is commonly a critical task for a variety of NLP tools. Some systems assist
users by offering a set of possible corrections for a given misspelt word. An automatic …
users by offering a set of possible corrections for a given misspelt word. An automatic …
Morphological and syntactic processing for text retrieval
This article describes the application of lemmatization and shallow parsing as a linguistically-
based alternative to stemming in Text Retrieval, with the aim of managing linguistic variation …
based alternative to stemming in Text Retrieval, with the aim of managing linguistic variation …
[PDF][PDF] Natural language processing techniques for the purpose of sentinel event information extraction
N Barrett - 2012 - dspace.library.uvic.ca
An approach to biomedical language processing is to apply existing natural language
processing (NLP) solutions to biomedical texts. Often, existing NLP solutions are less …
processing (NLP) solutions to biomedical texts. Often, existing NLP solutions are less …
[PDF][PDF] A Trainable Tokenizer, solution for multilingual texts and compound expression tokenization.
Tokenization is one of the initial steps done for almost any text processing task. It is not
particularly recognized as a challenging task for English monolingual systems but it rapidly …
particularly recognized as a challenging task for English monolingual systems but it rapidly …