Special Issue "Machine Learning and Natural Language Processing"
Deadline for manuscript submissions: 31 July 2020.
Interests: computer-assisted language learning; AI for computer games
Special Issues and Collections in MDPI journals
Interests: educational technologies; human-language technologies; digital fabrication; user experience; user-centred design
Recent years have been marked with the growing availability of natural language processing technologies for practical everyday use. The rapid development of open source instruments, such as NLTK; the wide availability of training corpora; and the general recognition of computational linguistics as an established scientific and technological field has resulted in a wide adoption of language processing in a broad range of software products.
Numerous exciting results were obtained recently with the help of machine learning technologies that make use of available datasets and corpora to support the whole range of tasks addressed in computational linguistics. These approaches were especially beneficial for regional languages, as they receive state-of-the-art language processing tools as soon as the necessary corpora are developed.
However, the existing tools and corpora still cannot cover all of the needs of researchers and developers working in the area of language processing. So, the whole community would benefit from new research perspectives on harnessing the available data, and the creation and adaptation of new linguisitic resources aimed to advance natural language processing technologies.
Thus, we believe that today’s scientific and technological landscape looks positive for research efforts based on a combination of machine learning and natural language processing. Important results can be achieved with the reliance of modern approaches and datasets, and the expected practical impact is higher than ever. This observation motivates us to propose an Issue of Applied Sciences, dedicated specifically to applications of machine learning in natural language processing tasks. We invite both original research and review articles relevant to the proposed topic.
Prof. Maxim Mozgovoy
Dr. Calkin Suero Montero
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
- Lemmatization and part of speech tagging
- Word analysis
- Syntactic, semantic, and context parsing and analysis
- Word sense disambiguation
- Sentence breaking
- Named entity recognition
- Machine translation-related tasks
- Question answering and chatbot development
- Discourse analysis
- Speech synthesis and recognition
- Information retrieval
- Corpora development and evaluation
- Natural language generation
- Text and speech analysis.