Objective: To align pharmacologic classes in ATC and MeSH with lexical and instance-based techniques. Methods: Lexical alignment: we map the names of ATC classes to MeSH through the UMLS, leveraging normalization and additional synonymy. Instance-based alignment: we associate ATC and MeSH classes through the drugs they share, using the Jaccard coefficient to measure class-class similarity. We u...

German is a morphologically rich language having a high degree of word inflections, derivations and compounding. This leads to high out-of-vocabulary (OOV) rates and poor language model (LM) probabilities in the large vocabulary continuous speech recognition (LVCSR) systems. One of the main challenges in the German LVCSR is the recognition of the OOV words. For this purpose, data-driven morphem...

Lexical pattern matching and text extraction is an essential component of many Natural Language Processing applications. Following the language hierarchy first conceived by Chomsky, it is commonly accepted that simple phrasal patterns should he categorised under the class of Regular Language (RL). There are 3 operations in RL Union, Concatenation and Kleene Closure which are applied to a finite...

the present paper aims to examine the role of frequency lexicon in assessing lexical proficiency of persian learners. addressing the frequency distribution pattern of persian words, the research which is conducted in corpus-based method studies the relationship between words and lexical proficiency as well as derives the frequency lexicon from persian corpus. to do so, formal and colloquial per...

We are interested in bridging the world of natural language and the world of the semantic web in particular to support natural multilingual access to the web of data. In this paper we introduce a new type of lexical ontology called interlingual lexical ontology (ILexicOn), which uses semantic web formalisms to make each interlingual lexical unit class (ILU) support the projection of its semanti...

Reading is widely accepted as an effective way for EST learners to obtain information and knowledge, but most EST learners in China find that their reading competence is not satisfactory although they have a large size of EST vocabulary and study English grammar well. So how to improve EST learner’s reading competence remains a problem urgent to settle for EST teachers and researchers. Lexical ...

The Lexical Markup Framework (ISO 24613:2008) provides a core class diagram and various extensions as the basis for constructing lexical resources. Unfortunately the informative Document Type Definition provided by the standard and other available LMF serializations lack support for many of the powerful features of the model. This paper describes RELISH LMF, which unlocks the full power of the ...

This work has been motivated by two long term goals: to understand how humans learn language and to build programs that can understand language. Using a representation that makes the relevant features explicit is a prerequisite for successful learning and understanding. Therefore, I chose to represent relations between individual words explicitly in my model. Lexical attraction is defined as th...

This paper describes a method to measure the lexical gap of action verbs in Italian and English by using the IMAGACT ontology of action. The fine-grained categorization of action concepts of the data source allowed to have wide overview of the relation between concepts in the two languages. The calculated lexical gap for both English and Italian is about 30% of the action concepts, much higher ...