This study investigated the receptive and productive vocabulary command of learners based on their willingness to communicate (WTC) and critical thinking skill. The study also aimed to compare gifted and non-gifted learners in terms of the above-mentioned variables. To this end, 112 gifted and non-gifted Iranian EFL learners were picked out and given four instruments (W...

The approach to multilingual lexical representation developed as part of the ACQUILEX Lexical Knowledge Base (LKB) discussed with specific reference to complex translation equivalence. The treatment described provides a lexicalist account of translation mismatches in terms of translation links which capture cross-linguistic generalizations across sets of semantically related lexical items, and ...

The traditional framework ['or ambiguity resolution employs only 'static' knowledge, expressed generally as selectional restrictions or domain specific constraints, and makes uo use of any specific knowledge manipulation mechanisms apart from the simple ability to match valences of structurally related words. In contraust, this paper suggests how a theory of lexical semantics making use of a kn...

We compare two ways of obtaining lexical knowledge for antecedent selection in other-anaphora and definite noun phrase coreference. Specifically, we compare an algorithm that relies on links encoded in the manually created lexical hierarchy WordNet and an algorithm that mines corpora by means of shallow lexico-semantic patterns. As corpora we use the British National Corpus (BNC), as well as th...

We present an approach to combining distributional semantic representations induced from text corpora with manually constructed lexical-semantic networks. While both kinds of semantic resources are available with high lexical coverage, our aligned resource combines the domain specificity and availability of contextual information from distributional models with the conciseness and high quality ...

This paper presents lexical attraction models of language, in which the only explicitly represented linguistic knowledge is the likelihood of pairwise relations between words. This is in contrast with models that represent linguistic knowledge in terms of a lexicon, which assigns categories to each word, and a grammar, which expresses possible combinations in terms of these categories. The word...

We present a new hybrid lexical knowledge base that combines the contextual information of distributional models with the conciseness and precision of manually constructed lexical networks. The computation of our countbased distributional model includes the induction of word senses for single-word and multi-word terms, the disambiguation of word similarity lists, taxonomic relations extracted b...

In this paper, we describe the role and the use of WORDNET as an external lexical resource in a methodology for matching hierarchical classification schemas. The main difference between our methodology and others which were presented is that we pay a lot of effort in eliciting the meaning of the structures we match, and we do this by using extensively lexical knowledge about the words occurring...

Knowledge acquisition is an essential and intractable task for almost every natural language processing study. To date, corpus approach is a primary means for acquiring lexical-level semantic knowledge, but it has the problem of knowledge insufficiency when training on various kinds of corpora. This paper is concerned with the issue of how to acquire and represent conceptual knowledge explicitl...

A significant problem when translating Japanese dialogues into German is the missing information on number and definiteness in the Japanese analysis output. The integration of the search for such information into the transfer process provides an efficient solution. General transfer rules, preference rules and default rules are combined. The transfer includes conditions to make it possible to co...