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Copyright of Philologica Canariensia is the property of Philologica Canariensia and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Pragmalingüística is the property of Facultad de Filosofia y Letras, Universidad de Cadiz and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Machine translation (MT) is used to obtain annotated corpus of English corpus which can be applicable to different natural language processing (NLP) tasks. Considering that there are more resources or data sets for training NLP models in English language, this paper explores the application of MT to automate NLP tasks in Spanish. Thus, the article describes a dataset for the extraction of generic relations (reACE) and the construction of a semantic extraction model of relations in Spanish (ER), based on the set of samples translated from English to Spanish. The results show that for the MT task it is necessary to implement a corpus pre-editing process in English to avoid translation and post-editing errors and maintain the original corpus annotations. The ER models in Spanish achieve measures of accuracy, completeness, and F-value comparable to those obtained by the model in the English language, which suggests that machine translation is a useful tool to perform NLP tasks in the Spanish language. [ABSTRACT FROM AUTHOR]

Copyright of Pragmalingüística is the property of Facultad de Filosofia y Letras, Universidad de Cadiz and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Cuadernos de Investigación Filológica is the property of Universidad de la Rioja, Servicio de Publicaciones and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Persuasion is the dominant function of tourist promotional texts and is fostered through the use of certain lexical devices such as verbs of perception, which engage readers and arouse in them pleasant feelings. This paper aims to compare verbs of perception in English and Spanish through the exploitation of a bilingual comparable corpus of five British and five Spanish institutional websites. In particular, the analysis conducted seeks to (1) determine which language expresses more perceptions through verbal forms, (2) analyse to what extent each language uses verbs of sensory and intellectual perception, and (3) identify equivalent verbs in both corpora. In general terms, the results show that the English corpus includes a higher frequency of verbs of perception, cognitive verbs prevail over sensory ones in both corpora, and there exist equivalent verbs which are more used in one language than in the other. [ABSTRACT FROM AUTHOR]

The sources of information that translators may use are extremely varied, ranging from oral consultation with an expert to a search using specialised dictionaries and glossaries. Nowadays, however, one the most relevant documentation activities in the field of Translation involves the use of Internet resources and, closely related to this, the compilation and management of virtual corpora. For this reason, in the present paper we present a systematic methodology for extracting bilingual and bidirectional glossaries (English-Spanish/Spanish- English) based on parallel corpora to translate TV User Manuals. In fact, according to art. 5 of the Council Resolution of 17 December 1998 on operating instructions for technical consumer goods (98/C 411/01) it is essential to control the quality when writing and translating these manuals. In order to illustrate this methodology we focus on corpus design (according to the skopo) and on the compilation protocol (in four steps: searching, downloading, text formatting and saving data) in order to ensure quality. As for the quantity, we check the quantitative representativeness with the ReCor software (cfr. Seghiri 2006: 387). Once the corpus is representative from the qualitative and the quantitative points of view, it can be managed with a concordance program. So, we illustrate how to extract the terms semiautomatically in order to build a bilingual and bidirectional glossary with a parallel concordance named ParaConc. Thus, in the present paper we combine the main resource for researchers (cfr. Bowker 1998; Varantola 2000; Seghiri 2011) within the Translation field: corpora, in order to ensure quality; and the main documentation resource for prospective translators (cfr. Corpas et al. 2001): bilingual glossaries. [ABSTRACT FROM AUTHOR]