PURPOSE This study evaluates the extent to which bilingual children produce the same or overlapping responses on tasks assessing semantic skills in each of their languages and whether classification analysis based on monolingual or conceptual scoring can accurately classify the semantic development of typically developing (TD) bilingual children. METHOD In Study 1, 55 TD children (ages 4;0 [y...

The Lexical Knowledge Representation Research Group at the Department of Lexicology is one youngest research groups Hungarian Centre for Linguistics, founded in February 2020. group currently working on a new version monolingual explanatory dictionary partly based Explanatory Dictionary Language. aim to compile an up-to-date online contemporary (2001–2020) by corpus-driven methods. present arti...

background and aim: although recent research has revealed the positive effects of bilin­gualism on children's cognitive abilities, little information is available on the relationship bet­ween bilingualism and working memory. working memory is generally composed of four dis­tinct parts, among which the phonological loop plays an important role in speech and language development, reading skills, ...

This paper explores the hypothesis that semantic relatedness may be more reliably inferred by using a multilingual space, as compared to the typical monolingual representation. Through evaluations using several stateof-the-art semantic relatedness systems, applied on standard datasets, we show that a multilingual approach is better suited for this task, and leads to improvements of up to 47% wi...

We evaluate the feasibility of applying currently available research tools to the problem of cross lingual QA. We establish a task baseline by combining a cross lingual IR system with a monolingual QA system in a very short amount of time. A higher precision strategy involves applying the monolingual QA system to an automatically translated question, assumed to be correct. A higher coverage str...

Aligning sentences belonging to comparable monolingual corpora has been suggested as a first step towards training text rewriting algorithms, for tasks such as summarization or paraphrasing. We present here a new monolingual sentence alignment algorithm, combining a sentence-based TF*IDF score, turned into a probability distribution using logistic regression, with a global alignment dynamic pro...

Associative networks are a connectionist language model with the ability to categorize large sets of documents. In this research we combine monolingual associative networks based on Wikipedia to create a larger, multilingual associative network, using the cross-lingual connections between Wikipedia articles. We prove that such multilingual associative networks perform better than monolingual as...

The main objective of the present study was to investigate the differences between Iranian EFL monolinguals and bilinguals in terms of vocabulary language learning strategies. In fact, it was an attempt to investigate whether bilingual/ monolingual learners differ significantly in using vocabulary learning strategies. To this end, 70 EFL, 45 monolingual (Persian) and 25 bilingual (Arabic-Persia...

In this paper, we exploit domain-specific comparable corpora to build bilingual terminologies. We present the monolingual term extraction and the bilingual alignment that will allow us to identify and translate high specialised terminology. We stress the huge importance of taking into account both simple and complex terms in a multilingual environment. Such linguistic diversity implies to combi...