The majority of systems dealing with natural language processing (NLP) and artificial intelligence (AI) can assist in making automated automatically-supported decisions. However, these may face challenges difficulties or find it confusing to identify the required information (characterization) for eliciting a decision by extracting summarizing relevant from large text documents colossal content...

In this paper we present a comprehensive approach to automatic organization and hybrid navigation of text databases. An organizing stage first builds a particular lattice representation of the data, through text indexing followed by lattice clustering of the indexed texts. The lattice representation, then, supports the navigation stage of the system, a visual retrieval interface that combines t...

In this paper, we address the problem of machine translation (MT) of domain-specific texts for which large amounts of parallel data for training are not available. We focus on the IT domain and on English to Portuguese machine translation, and compare different strategies for improving system performance over two baselines, the first using only large dataset of out-of-domain data, and the secon...

We present three di erent methods to perform an automatic classi cation of French texts which include opinions. The rst method is symbolic, the second statistic and the last, hybrid, is a combination of the rst two. We will show how the combination facilitates to exploit the advantages of both methods, namely robustness of statistical machine learning and the possibility of a manual con guratio...

As documents tend to contain temporal information, extracting such information is attracting much research interests recently. In this paper, we propose a hybrid method that combines machine-learning models and hand-crafted rules for the task of extracting temporal information from unstructured Korean texts. We address Korean-specific research issues and propose a new probabilistic model to gen...

This paper describes a hybrid machine translation (HMT) system that employs several online MT system application program interfaces (APIs) forming a MultiSystem Machine Translation (MSMT) approach. The goal is to improve the automated translation of English – Latvian texts over each of the individual MT APIs. The selection of the best hypothesis translation is done by calculating the perplexity...