the present study aimed at investigating whether vocabulary-learning strategies had any impact on the vocabulary learning of iranian efl learners. the participants of the study were 67 male and female undergraduate university students, majoring in english translation and english literature at islamic azad university, north tehran branch, who were taking “reading comprehension ii” course. in ord...

The empirical adequacy of synchronous context-free grammars of rank two (2-SCFGs) (Satta and Peserico, 2005), used in syntaxbased machine translation systems such as Wu (1997), Zhang et al. (2006) and Chiang (2007), in terms of what alignments they induce, has been discussed in Wu (1997) and Wellington et al. (2006), but with a one-sided focus on so-called “inside-out alignments”. Other alignme...

The empirical adequacy of synchronous context-free grammars of rank two (2-SCFGs) (Satta and Peserico, 2005), used in syntaxbased machine translation systems such as Wu (1997), Zhang et al. (2006) and Chiang (2007), in terms of what alignments they induce, has been discussed in Wu (1997) and Wellington et al. (2006), but with a one-sided focus on so-called “inside-out alignments”. Other alignme...

the principle theoretical basis of this article is the concept of 'city text' and the textuality standards. the article explores city as a text and takes the textuality standards into consideration for analyzing the city. text is one of the main elements that play a significant role in communication. people communicating by language do not do so simply by means of individual words or ...

We present a phonological probabilistic contextfree grammar, which describes the word and syllable structure of German words. The grammar is trained on a large corpus by a simple supervised method, and evaluated on a syllabification task achieving 96.88% word accuracy on word tokens, and 90.33% on word types. We added rules for English phonemes to the grammar, and trained the enriched grammar o...

In this paper we will present a system that is able to perform cooperative information retrieval actions over a text knowledge base. The knowledge base is composed by four levels: Interaction, Domain, Information Retrieval and Text. The interaction level is responsible for the dialogue management, including the inference of attitudes. The domain level is composed by rules encoding knowledge abo...

In this paper we will present a system that is able to perform cooperative information retrieval actions over a text knowledge base. The knowledge base is composed by four levels: Interaction, Domain, Information Retrieval and Text. The interaction level is responsible for the dialogue management, including the inference of attitudes. The domain level is composed by rules encoding knowledge abo...

Extracting biomedical relations such as drug-drug interaction (DDI) from text is an important task in biomedical NLP. Due to the large number of complex sentences in biomedical literature, researchers have employed some sentence simplification techniques to improve the performance of the relation extraction methods. However, due to difficulty of the task, there is no noteworthy improvement in t...

We present the results of experimenting with schemes for learning probabilistic dependency grammars1 for English from corpora labelled with part-of-speech information. We intend our system to produce widecoverage grammars which have some resemblance to the standard 2 context-free grammars of English which grammarians and linguists commonly exhibit as exampies.