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Summary: Linguistic Issues in Language Technology focuses on relationships between linguistics and language technology.
Linguistic Issues in Language Technology (LiLT) is a new open-access journal that focuses on relationships between linguistic insights, which can prove valuable to language technology, and language technology, which can enrich linguistic research.
Publisher | CSLI Publications - Center For The Study Of Language And Information |
More information | http://csli-publications.stanford.edu/LiLT |
Keywords | automatic recognition, reference resolution procedures, anaphora resolution, formalisms for linguistic context, ellipsis, conversational reasoning, parsing models, machine-readable resources, lexicons, thesauri, ontologies, error-analysis, performance evaluation, linguistic generalizations, machine translation, language modeling, semantic role labeling, building semantic representations, linguistic information, statistical language models, grammar engineering, language technology, bootstrapping data collections, rule-based linguistic models, machine learning modeling of natural language |
Conversational Agents and Natural Language Interaction by Diana Perez-marin and Ismael Pascual-Nieto |
Virtual Humans by David Burden and Maggi Savin-Baden |
Hands-On Chatbots and Conversational UI Development by Srini Janarthanam |
Artificial Intelligence: A Modern Approach by Stuart Russell and Peter Norvig |
it is a nice academic journa, i like to publish papers in it.
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