In this paper, we study the impact of using a domain-specific bilingual lexicon on the performance of an Example-Based Machine Translation system. We conducted experiments for the EnglishFrench language pair on in-domain texts from Europarl (European Parliament Proceedings) and out-of-domain texts from Emea (European Medicines Agency Documents), and we compared the results of the Example-Based ...

Common algorithms for sentence and word-alignment allow the automatic identification of word translations from parallel texts. This study suggests that the identification of word translations should also be possible with non-parallel and even unrelated texts. The method proposed is based on the assumption that there is a correlation between the patterns of word cooccurrences in texts of differe...

as a culture-based phenomenon which involves both linguistic and social aspects, translation has been investigated from various perspectives. the present critical discourse analysis (cda)-based study is an attempt to probe into the manipulation of ideologies in translations of political texts. a cda approach, based on fairclough (1989), van dijk (2004) and farahzad (2007), was adopted to conduc...

We evaluated the effectiveness of new indices of text comprehension in measuring relative text difficulty. Specifically, we examined the efficacy of automated indices produced by the web-based computational tool Coh-Metrix. In an analysis of 60 instructional science texts, we divided texts into groups that were considered to be more or less difficult to comprehend. The defining criteria were ba...

This paper reports on a genre-based contrastive analysis of the textual organization of biomedical texts. In order to provide the maximum educational value to our research, our corpus is made up of 100 biomedical texts divided as follows: 25 Letters to the Editor, 25 Cartas al director, 25 Editorials and 25 Editoriales. Following Paltridge's approach, based on simple keys to symbolize the main ...

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Keywords are valuable means for characterizing texts. In order to extract keywords we propose an efficient and robust, language-and domain-independent approach which is based on small word parts (quadgrams). The basic algorithm can be improved by reexamining and re-ranking keywords using edit distance (i.e. Levenshtein distance) and an algorithm based on the relativistic addition of velocities ...

Text classification is an important problem with many applications. Traditional approaches represent text as a bagof-words and build classifiers based on this representation. Rather than words, entity phrases, the relations between the entities, as well as the types of the entities and relations carry much more information to represent the texts. This paper presents a novel text as network clas...

background: the comprehension processes are often inferred or explored indirectly through the assessment of the performance of the students on certain tasks. comprehension is typically measured by the techniques in which the test-taker reads a short text and then selects the correct answers in multiple choice questions, true/false and yes/no tasks or matching activities. purpose: a new approach...

Sample data plays an important role in land cover (LC) map validation. Traditionally, they are collected through field survey or image interpretation, either of which is costly, labor-intensive and time-consuming. In recent years, massive geo-tagged texts are emerging on the web and they contain valuable information for LC map validation. However, this kind of special textual data has seldom be...