Journal Information
Computer Speech and Language
Impact Factor:

Call For Papers
Computer Speech & Language publishes reports of original research related to the recognition, understanding, production, coding and mining of speech and language.

The speech and language sciences have a long history, but it is only relatively recently that large-scale implementation of and experimentation with complex models of speech and language processing has become feasible. Such research is often carried out somewhat separately by practitioners of artificial intelligence, computer science, electronic engineering, information retrieval, linguistics, phonetics, or psychology.

The journal provides a focus for this work, and encourages an interdisciplinary approach to speech and language research and technology. Thus contributions from all of the related fields are welcomed in the form of reports of theoretical or experimental studies, tutorials, reviews, and brief correspondence pertaining to models and their implementation, or reports of fundamental research leading to the improvement of such models.

Research Areas Include

    Algorithms and models for speech recognition and synthesis
    Natural language processing for speech understanding and generation
    Statistical computational linguistics
    Computational models of discourse and dialogue
    Information retrieval, extraction and summarization
    Speaker and language recognition
    Computational models of speech production and perception
    Signal processing for speech analysis, enhancement and transformation
    Evaluation of human and computer system performance
Last updated by Jia Junhua in 2019-03-12
Special Issues
Special Issue on Natural Language Generation
Submission Date: 2020-02-01

Natural Language Generation (NLG) is the sub-field of Artificial Intelligence and Computational Linguistics that is concerned with the construction of computational systems that can produce understandable texts from some underlying non-linguistic representation of information. In this regard, NLG addresses the data-value chain by translating information of raw data into natural language, offering a natural way to communicate complex information to users. The purpose of this special issue is to publish the results of recent and prominent developments in the field of NLG, an area that has seen a marked increase of interest in both academia and industry in recent years. We also welcome works with a focus on the connections between NLG and neighbouring areas of research, such as Machine Translation, dialogue & chatbots, and summarisation, which face some of the same intellectual challenges as NLG. This special issue will be soliciting papers on the following general topics related to NLG (but are not limited to): Affect/emotion generation Applications for people with disabilities Cognitive modelling of language production Content and text planning Corpora for NLG Ethical considerations of NLG Deep learning models for NLG Evaluation of NLG systems Generalizability of NLG systems Grounded language generation Lexicalisation Multimedia and multimodality in generation Storytelling and narrative generation NLG and accessibility NLG in dialogue NLG for embodied agents and robots NLG for real-world applications Paraphrasing and Summarisation Personalisation and variation in text Referring expression generation Resources for NLG Surface realisation Systems architecture NLG and Machine Translation NLG and speech synthesis Natural Language Understanding Techniques for NLG
Last updated by Dou Sun in 2019-07-27
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