An attempt is made to specify the structure of the hominin bands that began steps to language. Storytelling could evolve without need for language yet be strongly subject to natural selection and could provide a major feedback process in evolving language. A storytelling model is examined, including its effects on the evolution of consciousness and the possible timing of language evolution. Beh...

Explaining the extravagant complexity of the human language and our competence to acquire it has long posed challenges for natural selection theory. To answer his critics, Darwin turned to sexual selection toaccount for theextremedevelopmentof language.Many contemporary evolutionary theorists have invoked incredibly lucky mutationor somevariantof theassimilationofacquiredbehaviors to innate pre...

ambiguity in legal language has been part of the unwanted but inevitable legal texts. thus, the interpretation of these texts with the aim of removing the ambiguities or the true meaning selection, or, more correctly, is a branch of knowledge of the law. but instead of focusing solely on interpretation, can prevent ambiguities in legal texts so that the law becomes clear and it not remains room...

this paper examines the relationships between language and ideology and how ideology is constructed and presented via different language choices in english editorials published in different socio-cultural contexts. van dijk’s (2000a) ideological square in terms of representation of the self and other was applied to the editorials. through a comparative analysis of iranian, turkish and saudi ara...

We contrast language modeling for binary response typing interfaces with the more standard use of language models for full sequence disambiguation in applications like speech recognition. We highlight a key issue for construction of these language models: using Huffman coding versus simpler binary coding tree topologies. We then introduce novel methods for handling of selection error within the...

This paper presents first results in using active learning (AL) for training data selection in the context of the IARPABabel program. Given an initial training data set, we aim to automatically select additional data (from an untranscribed pool data set) for manual transcription. Initial and selected data are then used to build acoustic and language models for speech recognition. The goal of th...