نتایج جستجو برای: natural language processing system

تعداد نتایج: 3195623  

2012
Rada Mihalcea

With rapidly growing online resources, such as Wikipedia, Twitter, or Facebook, there is an increasing number of languages that have a Web presence, and correspondingly there is a growing need for effective solutions for multilingual natural language processing. In this talk, I will explore the hypothesis that a multilingual representation can enrich the feature space for natural language proce...

1996
Daniel Jones Jean-Pierre Corriveau

The use of examples as the basis for machine translation systems has gained considerable acceptance since the original proposal of Nagao in 1984. In this short book, Jones first reviews the fundamental principles of example-based machine translation (EBMT) in order to then introduce the specific mechanisms of his model. The key characteristic of this model is its purely stochastic processing, w...

Journal: :Cuadernos europeos de Deusto 2022

The presence of a language in the digital domain is crucial for its survival, as online communication and resources have become standard last decades will gain more importance coming years. In order to develop advanced systems that are considered basics an efficient (e.g. machine translation systems, text-to-speech speech-to-text converters assistants), it necessary digitalise linguistic create...

1996
Ann Copestake

In this paper, we discuss the application of Natural Language Processing (NLP) techniques to improving speech prostheses for people with severe motor disabilities. Many people who are unable to speak because of physical disability utilize text-to-speech generators as prosthetic devices. However, users of speech prosthe-ses very often have more general loss of motor control and, despite aids suc...

Journal: :Computational Linguistics 2017
Jin-Dong Kim

The book begins with a declaration that “the intended audience of the book is natural language processing specialists who want to move into the biomedical domain.” It is indeed a great introductory textbook to the field of biomedical natural language processing (NLP), particularly for NLP specialists. Browsing the contents, many NLP specialists will find the titles of chapters familiar: “Named ...

2004

4.0 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 199 4.1 Preliminaries . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 200 4.2 Algorithms . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 201 4.2.1 Composition . . . . . . . . . . . . . . . . . . . . . . . . . 201 4.2.2 Determinization . . . . . . . . . . . . . . . . . . . . . . . 206 4.2.3 Weight pu...

2015
Christian Biemann

In the past decades of NLP, there has been a steady shift away from rule-based, linguistically motivated modeling towards statistical learning and the induction of unsupervised feature representations. However, natural language components used in today’s NLP pipelines are still static in the sense that their statistical model or rule-base is created once, then subsequently applied without furth...

2013
Carlo Strapparava

Dealing with creative language and in particular with affective, persuasive and even humorous language has often been considered outside the scope of computational linguistics. Nonetheless it is possible to exploit current NLP techniques starting some explorations about it. We briefly review some computational experiences about these typical creative genres. Then we will talk about the exploita...

1997
Vincenzo Ambriola Vincenzo Gervasi

The importance of requirements, which in practice often means natural language requirements, for a successful software project cannot be underestimated. Although requirement analysis has been traditionally reserved to the experience of professionals, there is no reason not to use various automatic techniques to the same end. In this paper we present Circe, a Web-based environment for aiding in ...

1990
Ralph M. Weischedel

The objective of this project is a pilot study of several new 3. ideas for the automatic adaptation and improvement of natural language processing (NLP) systems. The effort focuses particularly on automatically inferring the meaning of new words in context and on developing partial interpretations of language that is either fragmentary or beyond the capability of the NLP system to understand. T...

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