the present study investigated the effect of marginal glosses (both l1 and l2) on incidental vocabulary learning of efl learners. the subject pool consisted of 154 third-semester iranian students enrolled at azad university, central branch. after administering a proficiency test, 90 homogeneous students were assigned to two experimental groups (x1 & x2) and one control group. afterwards, a 50 -...

This paper proposes a machine learning approach to the task of assigning the international standard on classification of diseases ICD-9-CM codes to clinical records. By treating the task as a text categorisation problem, a classification system was built which explores a variety of features including negation, different strategies of measuring gloss overlaps between the content of clinical reco...

eValency Lexicon of Czech Verbs (VALLEX 2.0) is a collection of linguistically annotated data and documentation. It provides information on the valency structure of verbs in their particular meanings / senses, possible morphological forms of their complementations and additional syntactic information, accompanied with glosses and examples. e primary goal of the following text is to briefly de...

In our paper we present a method for the automatic generation of single German Sign Language glosses from German words. Glosses are often used as a textual description of signs when transcribing Sign Language video data. For a machine translation system from German to German Sign Language we apply glosses as an intermediate notational system. Then the automatic generation from given German word...

This paper studies the application of text similarity methods to disambiguate ambiguous links between WordNet nouns and Wikipedia categories. The methods range from word overlap between glosses, random projections, WordNetbased similarity, and a full-fledged textual entailment system. Both unsupervised and supervised combinations have been tried. The goldstandard with disambiguated links is pub...

This paper proposes a machine learning approach to the task of assigning the international standard on classification of diseases ICD-9-CM codes to clinical records. By treating the task as a text categorisation problem, a classification system was built which explores a variety of features including negation, different strategies of measuring gloss overlaps between the content of clinical reco...

This paper presents a possible solution for the text inference problem extracting information unstated in a text, but implied. The inference algorithm consists of a set of highly parallel search methods that when applied to the knowledge base find contexts of sentences that reveal information relevant to the text. Implementation, results and parallelism analysis are discussed. 1 Statement of th...