the present study endeavors to unravel the enigma of the psycholinguistic mechanisms underpinning bilingual mental lexicon by analyzing the issue of l1 lexicalization as a construct epitomizing an overarching framework. it involves 78 juniors at the islamic azad university, roudehen branch. the study inspects the impact of the interventionist/noninterventionist treatments on both sets of lexica...

In this paper, we explore the interaction between lexical semantics and pragmatics. Linguistic processing is informationally encapsulated and utilises relatively simple ‘taxonomic’ lexical semantic knowledge. On this basis, defeasible lexical generalisations deliver defeasible parts of logical form. In contrast, pragmatics is open-ended and involves arbitrary knowledge. Two axioms specify when ...

In this paper, we propose a lexical selection method with three steps: sense disambiguation of source words, sense-to-word mapping, and selection of the most appropriate target language lexical item. The knowledge for each step is extracted from a machine readable dictionary and a target language monolingual corpus. By splitting the process of lexical selection into three steps and extracting t...

The investigation of language processing following brain damage may be used to constrain models of normal language processing. We review the literature on semantic and lexical processing deficits, focusing on issues of representation of semantic knowledge and the mechanisms of lexical access. The results broadly support a componential organization of lexical knowledge-the semantic component is ...

Neural representations of words are thought to have a complex spatio-temporal cortical basis. It has been suggested that spoken word recognition is not a process of feed-forward computations from phonetic to lexical forms, but rather involves the online integration of bottom-up input with stored lexical knowledge. Using direct neural recordings from the temporal lobe, we examined cortical respo...

Lexical relations describe how concepts are semantically related, in the form of relation triples. The accurate prediction lexical between is challenging, due to sparsity patterns indicating existence such relations. We propose Knowledge-Enriched Meta-Learning (KEML) framework address classification. In KEML, LKB-BERT (Lexical Knowledge Base-BERT) model first presented learn concept representat...

The question of when and how bottom-up input is integrated with top-down knowledge has been debated extensively within cognition and perception, and particularly within language processing. A long running debate about the architecture of the spoken-word recognition system has centered on the locus of lexical effects on phonemic processing: does lexical knowledge influence phoneme perception thr...

In particular, we argue that what have been claimed to be rules of lexical sense extension operating on lexical items are instead to be accounted for by a process of reference transfer by which the referents of lexical items (and phrases) can be used to refer to related things, as governed by pragmatic rules of conversation and contextual knowledge. By contextual knowledge we include that infor...

A machine translation system must be able to adequately cope with near-synonymy for there are often many slightly different translations available for any given source language word that can each significantly and differently affect the meaning or style of a translated text. Conventional models of lexical knowledge used in natural-language processing systems are inadequate for representing near...

The task of choosing between lexical near-equivalents in text generation requires the kind of knowledge of ne di erences between words that is typi ed by the usage notes of dictionaries and books of synonym discrimination. These usage notes follow a fairly standard pattern, and a study of their form and content shows the kinds of di erentiae adduced in the discrimination of nearsynonyms. For ap...