The pressure to produce work in English and to publish internationally has increased over recent years. However, a large number of non-native writers may be excluded from the web of global scholarship due to defective rhetorical organizations and discourse structures of their works. This study aimed to investigate frequency and distribution of transition markers (TMs) in introduction sections o...

This paper presents the experiments conducted by the Machine Translation group at DCU and Prompsit Language Engineering for the WMT13 translation task. Three language pairs are considered: SpanishEnglish and French-English in both directions and German-English in that direction. For the Spanish-English pair, the use of linguistic information to select parallel data is investigated. For the Fren...

This article presents the linguistic bases of Persian light verb constructions and shows the corpus based construction of lists of collocates for some common Persian verbs. The proposed methods of corpus construction are language independent and the good results on a relatively small corpus of 20 million words confirms the power of association measures based on the hypergeometric distribution. ...

This paper proposes an innovative approach to improve the classification performance of Persian texts. The proposed method uses a thesaurus as a helpful knowledge to obtain more representative word-frequencies in the corpus. Two types of word relationships are considered in our used thesaurus. This is the first attempt to use a Persian thesaurus in the field of Persian information retrieval. Ex...

The biomedical scientific literature is a rich source of information not only in the English language, for which it is more abundant, but also in other languages, such as Portuguese, Spanish and French. We present the first freely available parallel corpus of scientific publications for the biomedical domain. Documents from the ”Biological Sciences” and ”Health Sciences” categories were retriev...

(Abstract) Text processing is one of the sub-branches of natural language processing. Recently, the use of machine learning and neural networks methods has been given greater consideration. For this reason, the representation of words has become very important. This article is about word representation or converting words into vectors in Persian text. In this research GloVe, CBOW and skip-gram ...

In this paper, we report our preliminary efforts in building an English-Turkish parallel treebank corpus for statistical machine translation. In the corpus, we manually generated parallel trees for about 5,000 sentences from Penn Treebank. English sentences in our set have a maximum of 15 tokens, including punctuation. We constrained the translated trees to the reordering of the children and th...

The present article is a corpus-driven investigation into deontic modality in the Lithuanian translations of EU legislation. It builds on data EUR-Lex2/2016 parallel corpus. discusses pivotal points and its realisation English Lithuanian. then presents corpus most frequent lexical bundles through which expressed subcorpus. discussion section analyses how source text were translated

This paper annotates the English corresponding units of Chinese clauses in Chinese-English translation and statistically analyzes them. Firstly, based on Chinese clause segmentation, we segment English target text into corresponding units (clause) to get a Chinese-to-English clause-aligned parallel corpus. Then, we annotate the grammatical properties of the English corresponding clauses in the ...