This paper presents a weak defense of rationalist approaches to Machine Translation (MT) based on the following line of reasoning. There is, independent of non-linguistic context, a one to many relationship between a source language text and the possible high quality target language translations of the text. This is due to the fact that there is a one to many relationship between a source langu...

Recently, semantic text portion (STP) is getting popular in the field of Web mining. STP is a text portion in the original page which is semantically related to the anchor pointing to the target page. STPs may include the facts and the people’s opinions about the target pages. STPs can be used for various upper-level applications such as automatic summarization and document categorization. In t...

Current speech translation systems integrate (loosely or closely) two main modules: source language speech recognition (ASR) and source-to-target text translation (MT). In these approaches, source language text transcript (as a sequence or as a graph) appears as mandatory to produce a text hypothesis in the target language. In the meantime, deep neural networks have yielded breakthroughs in dif...

In the dark ages of machine translation, it is said that researchers at tempted a Direct Approach--word-for-word substitution. But this could not have survived much beyond the first inspection of the output. The most common approach adopted in working machine translation systems is the Transfer Approach illustrated in Figure 1. A text in a source language is analyzed to some depth, producing, f...

Text mining is an emerging technology that can be used to augment existing data in corporate databases by making unstructured text data available for analysis. The incredible increase in online documents, which has been mostly due to the expanding internet, has renewed the interest in automated document classification and data mining. The demand for text classification to aid the analysis and m...

We first describe a number of inter-related issues that need to be considered by the researcher when comparing frequencies of linguistic features in two or more corpora. We then describe the chi-squared and log-likelihood tests used in previous research for the comparison of word frequencies. Our focus, in this paper, is on the issue of reliability of the statistical tests, and we describe simu...

We report on the results of a pilot study in which a data-mining tool was developed for mining audiology records. The records were heterogeneous in that they contained numeric, category and textual data. The tools developed are designed to observe associations between any field in the records and any other field. The techniques employed were the statistical chi-squared test, and the use of self...

Text simplification is the process of transforming a text into an equivalent which is more understandable for a target user. We focus on text simplification in the Spanish language and present a corpus-based study of simplification operations. The study has implications for the development of an automatic simplification system.