Given a text in two languages, word alignment task consists of identifying in the two variants of the text specific word occurrences that are mutual translations. The majority of existing text alignment systems follow either a linguistic or a statistical approach. We argue for that both approaches are insufficient when used separately, and suggest a flexible algorithm that combines statistical ...

Hybrid approaches for automatic vowelization of Arabic texts are presented in this article. The process is made up of two modules. In the first one, a morphological analysis of the text words is performed using the open source morphological Analyzer AlKhalil Morpho Sys. Outputs for each word analyzed out of context, are its different possible vowelizations. The integration of this Analyzer in o...

This paper presents a hybrid approach to identifying protein names in biomedical texts, which is regarded as a crucial step for text mining. Our approach employs a set of simple heuristics for initial detection of protein names and uses a probabilistic model for locating complete protein names. In addition, a protein name dictionary is complementarily consulted. In contrast to previously propos...

It is important to know the structure of the sentence for many NLP tasks. In this paper we propose a hybrid method for clause splitting in unrestricted English texts which requires less human work than existing approaches. The results of a machine learning algorithm, trained on an annotated corpus, are processed by a shallow rule-based module in order to improve the accuracy of the method. The ...

In this paper, we target the extraction of whole-part relations involving human entities and body-part nouns occurrences in texts using STRING, a hybrid statistical and rule-based Natural Language Processing chain for Portuguese. Whole-part relation is a semantic relation between an entity that is perceived as a constituent part of another entity, or a member of a set.

A preliminary implementation of AraMWE, a hybrid project that includes a statistical component and a CCG symbolic component to extract and treat MWEs and idioms in Arabic and English parallel texts is presented, together with a general sketch of the system, a thorough description of the statistical component and a proof of concept of the CCG component.

This paper provides a specification of requirements for collocation extraction systems, taking as an example the extraction of noun + verb collocations from German texts. A hybrid approach to the extraction of habitual collocations and idioms is presented, aiming at a detailed description of collocations and their morphosyntax for natural language generation systems as well as to support learne...

Terminology use, as a mean for information retrieval or document indexing, plays an important role in health literacy. Specific types of users, i.e. patients with diabetes need access to various online resources (on foreign and/or native language) searching for information on self-education of basic diabetic knowledge, on self-care activities regarding importance of dietetic food, medications, ...