Motivation for this work comes from the longest-running Serbian television quiz show called TV Slagalica and more specifically one of its games named associations. In associations game, two players attempt to guess a solution given several clue words. There is large number publicly available game scenarios that were used evaluate applicability trained artificial neural networks predict possible...

Language plays a vital role in the communication of ideas, thoughts, and information to others. Hearing-impaired people also understand our thoughts using language known as sign language. Every country has different which is based on their native In research paper, major focus Indian Sign Language, mostly used by hearing- speaking-impaired communities India. While communicating views with other...

Pretraining large neural language models, such as BERT, has led to impressive gains on many natural processing (NLP) tasks. However, most pretraining efforts focus general domain corpora, newswire and Web. A prevailing assumption is that even domain-specific can benefit by starting from general-domain models. In this paper, we challenge showing for domains with abundant unlabeled text, biomedic...

The Lab offers a number of practical projects in Natural Language Processing (NLP), focusing on (but not limited to) processing of Hebrew. Some projects require previous knowledge of computational linguistics but some assume no previous background. All projects involve programming: the end result is a relatively large-scale, well-documented and efficient software package. Some of the projects m...

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Introduction The paper addresses the issue of cooperation between linguistics and natural language processing (NLP), in general, and between linguistics and machine translation (MT), in particular. It focuses on just one direction of such cooperation, namely applications of linguistics to NLP, virtually ignoring for now any possible applications of NLP to linguistics, which can range from provi...

1.1 Markov Processes Consider a set of states S1, S2, . . . SN . A discrete Markov process is one in which the system is in a particular state at any given time. The state can be changed only at discrete intervals of time. We denote the time instants associated with state changes with as t = 1, 2, . . . and we denote the actual state at time t as qt. The current state in an n-order Markov proce...

OBJECTIVE To evaluate the performance of a natural language processing system in extracting pneumonia-related concepts from chest x-ray reports. METHODS DESIGN Four physicians, three lay persons, a natural language processing system, and two keyword searches (designated AAKS and KS) detected the presence or absence of three pneumonia-related concepts and inferred the presence or absence of...