The problem to replace a word with a synonym that fits well in its sentential context is known as the lexical substitution task. In this paper, we tackle this task as a supervised ranking problem. Given a dataset of target words, their sentential contexts and the potential substitutions for the target words, the goal is to train a model that accurately ranks the candidate substitutions based on...

In this paper, we propose a Modified nested sparse grid based Adaptive Stochastic Collocation Method (MASCM) for block-based Statistical Static Timing Analysis (SSTA). The proposed MASCM employs an improved adaptive strategy derived from the existing Adaptive Stochastic Collocation Method (ASCM) to approximate the key operator MAX during timing analysis. In contrast to ASCM which uses non-neste...

this study was intended first to categorize the l2 learners in terms of their learning style preferences and second to investigate if their learning preferences are related to lexical inferencing. moreover, strategies used for lexical inferencing and text related issues of text density and parts of speech were studied to determine their moderating effects and the best predictors of lexical infe...

There has been little research on the acquisition of Spanish collocation, particularly concerning collocation combinations in a multilingual context. Therefore, this corpus-based study attempted to provide new insights for learning collocation. The questions are: (1) What are usage and error tendencies acquiring by learners L3 Spanish? (2) How do contrasts between learners’ prior languages (L1 ...

This study was intended first to categorize the L2 learners in terms of their learning style preferences and second to investigate if their learning preferences are related to lexical inferencing. Moreover, strategies used for lexical inferencing and text related issues of text density and parts of speech were studied to determine their moderating effects and the best predictors of lexical infe...

One of the least-understood aspects of lexical choice in Natural Language Generation is choosing between near-synonyms. Previous studies of this issue, such as Edmonds and Hirst [4], have focused on semantic differences between near-synonyms, as analysed by lexicographers. Our empirical analysis of near-synonym choice in weather forecasts, however, suggests that other factors are probably more ...

We present and partially evaluate procedures for the extraction of noun+verb collocation candidates from German text corpora, along with their morphosyntactic preferences, especially for the active vs. passive voice. We start from tokenized, tagged, lemmatized and chunked text, and we use extraction patterns formulated in the CQP corpus query language. We discuss the results of a precision eval...

In this paper we present a new method of automatic collocation identification. Collocation is an important relation between words, which is widely used, among others, in information retrieval tasks. Over the last years, many methods of automatic collocation acquisition from text corpora have been proposed. The approach described in this paper differs from the others by focusing on domain colloc...

Abstract The congruency effect—that is, faster and more accurate processing of congruent multiword units, has been demonstrated in multiple studies. It is still unclear, however, what its underlying mechanism how may interact with other factors. Using an acceptability judgement task, this study examined the effect immersive (Experiment 1) nonimmersive 2) L2 learners’ collocational while taking ...

Cohesion and coherence have an important role in writing essays, both those that will write or become essays. Therefore this study aims to determine the use of cohesion KKN novel Penari Village. The object research is Village by Simpleman. subject sentence which contains type approach used a qualitative approach. A presents data form sentences. design collecting data, then grouped according typ...