Many of the typical tasks in linguistic processing pipelines can be done with tools from OpenNLP (http://opennlp.sourceforge.net). There are OpenNLP components for sentence detection, tokenization, part-of-speech tagging, phrase chunking, syntactic parsing, named entity recognition, and coreference resolution. These tools have been widely used for several years, and form a good basis for illust...

The l o g i c a l p a r t d e t e r m i n e s the s t r u c t u r e o f t h e i t e m s i n the i n f o r m a t i o n p a r t , p r e f e r e n c e s be tween them and t h e i r c o n t r i b u t i o n to t he f i n a l r e s u l t . The i n f o r m a t i o n p a r t i s v a r i a b l e . By d e s i g n i n g the l o g i c a l p a r t s u f f i c i e n t l y g e n e r a l , one can use i t even...

T HE GEORGETOWN-IBM EXPERIment in machine translation, in which I participated, raised a number of problems of linguistic method and threw light on some important phases of general linguistic theory. The purpose of machine translation (MT) is to have a logical machine perform a task which so far has been performed by skilled human beings only that of translation, that is, “the transference of m...

An algorithm for the morphological decomposition of words into morphemes is presented. The application area is information retrieval, and the purpose is to find morphologically related terms to a given search term. First, the parsing framework is presented, then several linguistic decisions are discussed: morpheme selection and segmentation, morpheme classes, morpheme grammar, allomorph handlin...

Information Retrieval Systems (IRSs) based on an ordinal fuzzy linguistic approach present some problems of loss of information and lack of precision when working with discrete linguistic expression domains or when applying approximation operations in the symbolic aggregation methods. In this paper, we present a new IRS model based on the 2-tuple fuzzy linguistic approach, which allows us to ov...

Information Retrieval Systems (IRSs) based on an ordinal fuzzy linguistic approach present some problems of loss of precision and information when working with discrete linguistic expression domains or when applying approximation operations in the symbolic aggregation methods. In this paper, we present an IRS based on a 2tuple fuzzy linguistic approach which allows us to overcome the problems o...

Inmulti-expert decisionmaking (MEDM) problems the experts provide their preferences about the alternatives according to their knowledge. Because they can have different knowledge, educational backgrounds, or experiences, it seems logical that they might use different evaluation scales to express their opinions. In the present article, we focus on decision problems defined in uncertain contexts ...

Many multiple attribute group decision making (MAGDM) problems with linguistic information involve uncertainties, which significantly increase the complexity and difficulty in decision analysis. In order to solve such problems, we require appropriate aggregation operators that are capable of dealing with uncertain linguistic information. In this paper, firstly, the uncertain two-tuple linguisti...

The linguistic neutrosophic numbers (LNNs) can express the truth, indeterminacy, and falsity degrees independently by three linguistic variables. Hence, they are an effective tool for describing indeterminate linguistic information under linguistic decision-making environments. Similarity measures are usual tools in decision-making problems. However, existing cosine similarity measures have bee...