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This paper proposes a model using associative processors (APs) for real-time spoken language translation. Spoken language translation re- quires (1) an accurate translation and (2) a real- time response. We …...

Cross-document coreference, the task of grouping all the mentions of each entity in a document collection, arises in information ex- traction and automated knowledge base con- struction. For large collections, …...

_________________________________________________________________________________________________________ Fine granularity scalable speech coding: Application to the G.729 coder This paper proposes an efficient codebook design for tree-structured vector quantization (TSVQ) which is embedded in nature. We modify …...

AbstractThis paper presents the platform developed in the PANACEA project, a distributed factory that automates the stages involved in the acquisition, production, updating and maintenance of Language Resources required by …...

. Several research efforts tackled medical entity recognition from texts. However, to our knowledge, there are no comparative studies for the following approaches: (i) the extraction of noun phrases in …...

AbstractJoint inference approaches such as Integer Linear Programming (ILP) and Markov Logic Networks (MLNs) have recently been successfully applied to many natural language processing (NLP) tasks, often outperforming their pipeline …...

AbstractExisting neural models usually predict the tag of the current token independent of the neighboring tags. The popular LSTM-CRF model considers the tag dependencies between every two consecutive tags. However, …...

AbstractResearch in NLP lacks geographic diversity, and the question of how NLP can be scaled to low-resourced languages has not yet been adequately solved. ‘Low-resourced’-ness is a complex problem going …...

AbstractUndermining the impact of hateful content with informed and non-aggressive responses, called counter narratives, has emerged as a possible solution for having healthier online communities. Thus, some NLP studies have …...