The use of NLP tools for Basque in a multiple user CALL environment and its feedback
نویسندگان
چکیده
In this article, we present a Computer Assisted Language Learning (CALL) environment for Basque. The environment has different aims: on the one hand, to offer the users (teachers, learners and computational linguists) different tools and language resources to clarify the linguistic doubts they might have about the language, and on the other hand, to store information about language learners, deviations and errors as the basis for further studies in CALL and Natural Language Processing (NLP). The environment is composed of a workbench (Lentillak), two web applications (Erreus and Irakazi), several NLP tools and two databases (Errors and Deviations), and it takes in learner corpora as well as native corpora. In addition, we present the experiment we have carried out to evaluate the usefulness of the NLP tools.
منابع مشابه
Bandwidth and Delay Optimization by Integrating of Software Trust Estimator with Multi-User Cloud Resource Competence
Trust Establishment is one of the significant resources to enhance the scalability and reliability of resources in the cloud environment. To establish a novel trust model on SaaS (Software as a Service) cloud resources and to optimize the resource utilization of multiple user requests, an integrated software trust estimator with multi-user resource competence (IST-MRC) optimization mechanism is...
متن کاملA New Method for Improving Computational Cost of Open Information Extraction Systems Using Log-Linear Model
Information extraction (IE) is a process of automatically providing a structured representation from an unstructured or semi-structured text. It is a long-standing challenge in natural language processing (NLP) which has been intensified by the increased volume of information and heterogeneity, and non-structured form of it. One of the core information extraction tasks is relation extraction wh...
متن کاملApplication of Monte Carlo Simulation in the Assessment of European Call Options
In this paper, the pricing of a European call option on the underlying asset is performed by using a Monte Carlo method, one of the powerful simulation methods, where the price development of the asset is simulated and value of the claim is computed in terms of an expected value. The proposed approach, applied in Monte Carlo simulation, is based on the Black-Scholes equation which generally def...
متن کاملQuery expansion based on relevance feedback and latent semantic analysis
Web search engines are one of the most popular tools on the Internet which are widely-used by expert and novice users. Constructing an adequate query which represents the best specification of users’ information need to the search engine is an important concern of web users. Query expansion is a way to reduce this concern and increase user satisfaction. In this paper, a new method of query expa...
متن کاملA Grouping Hotel Recommender System Based on Deep Learning and Sentiment Analysis
Recommender systems are important tools for users to identify their preferred items and for businesses to improve their products and services. In recent years, the use of online services for selection and reservation of hotels have witnessed a booming growth. Customer’ reviews have replaced the word of mouth marketing, but searching hotels based on user priorities is more time-consuming. This s...
متن کامل