The OntoLex W3C Community Group has been working for more than three years on a shared lexicon model for ontologies, called lemon. The lemon model consists of a core model that is complemented by a number of modules accounting for specific aspects in the modeling of lexical information within ontologies. In many usage scenarios, the discovery and exploitation of linguistically grounded ontologi...

Two main features of vocabulary knowledge, namely breadth and depth, have a fundamental role in vocabulary research. This research aimed to study the relationship between vocabulary knowledge and reading comprehension, and to investigate which feature of vocabulary knowledge, breadth or depth, had better impact on identifying reading comprehension performance. Therefore, three language tests we...

this study has examined the effect of semantic mapping on learning vocabulary across genders. the researchers selected 120 intermediate students after the administration of a standard proficiency test. a vocabulary test was also used to measure the students’ vocabulary knowledge. the experimental group received semantic mapping in the pre-reading stage, butthe control group did not receive this...

In this paper, the implications of recognising speech from news broadcasts that change on a daily basis are investigated from the perspective of audio indexing. First, vocabulary coverage is found to be of great importance. In daily newspapers and daily news broadcasts it is observed that half the total number of unique words that occur over time are used on only one day and are never used agai...

The amount of labeled sentiment data in English is much larger than that in other languages. Such a disproportion arouse interest in cross-lingual sentiment classification, which aims to conduct sentiment classification in the target language (e.g. Chinese) using labeled data in the source language (e.g. English). Most existing work relies on machine translation engines to directly adapt labele...

We attemped to improve recognition accuracy by reducing the inadequacies of the lexicon and language model. Specifically we address the following three problems: (1) the best size for the lexicon, (2) conditioning written text for spoken language recognition, and (3) using additional training outside the text distribution. We found that increasing the lexicon 20,000 words to 40,000 words reduce...

Many kinds of scientific data, including satellite imagery, climate simulations and sensor data, can be represented as coverages, which are essentially mappings from points in space and time to data values. Coverage data are typically encoded as multidimensional arrays in compact binary forms such as NetCDF, HDF and GeoTIFF, most of which require specialist knowledge and tools to process and ma...

objectives: one of the factors predicting language impairments is an early limited lexicon in children. an early limited lexicon can also lead to limited performances in other language areas. this study was aimed to examine receptive and expressive vocabulary in 8-16 month-old children with cleft lip and palate as a predictor of development in other language areas. materials: the macarthur-bate...

Many textbooks include semantically related words and sometimes teachers add synonyms, antonyms, etc. to the words in order to present new vocabulary items without questioning the possible effects. This study sought to investigate the effect of teaching vocabulary through synonym, semantically unrelated, and hyponym sets based on Higa’s (1963) proposed continuum. A total of 120 Iranian intermed...