0891-2017
Published by: Massachusetts Institute of Technology Press
| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Computer Science | 193 | 77 | 83 | 27 |
Computational Linguistics tackles a plethora of topics, such as Artificial intelligence, Natural language processing, Linguistics, Cognitive science and Parsing. Machine translation, Natural language, Computational linguistics, Word (computer architecture) and Rule-based machine translation are all aspects of Artificial intelligence discussed in it. Sentence is part of Natural language processing studies tackled in the journal.
Parsing and Algorithm are closely related fields of research discussed in the journal. Computational Linguistics dives deep in exploring the relationship between the study of Top-down parsing and Parser combinator.
The published papers tackle a plethora of topics, such as Artificial intelligence, Natural language processing, Computational linguistics, Linguistics and Parsing. The journal publications hold forums on Artificial intelligence that merge themes from other disciplines such as Task (project management) and Set (abstract data type). The most cited papers explore topics in Natural language processing which can be helpful for research in disciplines like Speech recognition and Word (computer architecture).
Computational Linguistics investigates studies in Artificial intelligence, Natural language processing, Machine learning, Parsing and Language model. Discussions in it are anchored in the subject of Artificial intelligence and the similar topic of Set (abstract data type). It tackles research works in Natural language processing as well as Bounded function.
The work on Machine learning tackled in the journal brings together disciplines like Adversarial system, Counterfactual thinking, Classifier (UML), Property (programming) and Variety (cybernetics). The concepts on Parsing presented in the journal can also apply to other research fields, including Resource (project management), Representation (systemics) and Theoretical computer science. The studies on Language model discussed can also contribute to research in the domains of Correlation does not imply causation, Representation (mathematics), Finite-state machine, Software and Key (cryptography).
A key indicator for each journal is its effectiveness in reaching other researchers with the papers published at that venue.
The chart below presents the interquartile range (first quartile 25%, median 50% and third quartile 75%) of the number of citations of articles over time.
The top authors publishing in Computational Linguistics (based on the number of publications) are:
The overall trend for top authors publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top authors.
Only papers with recognized affiliations are considered
The top affiliations publishing in Computational Linguistics (based on the number of publications) are:
The overall trend for top affiliations publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top affiliations.
The publication chance index shows the ratio of articles published by the best research institutions in the journal edition to all articles published within that journal. The best research institutions were selected based on the largest number of articles published during all editions of the journal.
The chart below presents the percentage ratio of articles from top institutions (based on their ranking of total papers).Top affiliations were grouped by their rank into the following tiers: top 1-10, top 11-20, top 21-50, and top 51+. Only articles with a recognized affiliation are considered.
During the most recent 2021 edition, 0.00% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 24.32% were posted by at least one author from the top 10 institutions publishing in the journal. Another 8.11% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 24.32% of all publications and 43.24% were from other institutions.
A very common phenomenon observed among researchers publishing scientific articles is the intentional selection of journals they have already attended in the past. In particular, it is worth analyzing the case when the authors participate in the same journal from year to year.
The Returning Authors Index presented below illustrates the ratio of authors who participated in both a given as well as the previous edition of the journal in relation to all participants in a given year.
The graph below shows the Returning Institution Index, illustrating the ratio of institutions that participated in both a given and the previous edition of the conference in relation to all affiliations present in a given year.
Our experience to innovation index was created to show a cross-section of the experience level of authors publishing in a journal. The index includes the authors publishing at the last edition of a journal, grouped by total number of publications throughout their academic career (P) and the total number of citations of these publications ever received (C).
The group intervals were selected empirically to best show the diversity of the authors' experiences, their labels were selected as a convenience, not as judgment. The authors were divided into the following groups:
The chart below illustrates experience levels of first authors in cases of publications with multiple authors.
One of the most interesting aspects of Computational Linguistics is its broad application across a range of fields. Other than technological uses in Artificial Intelligence, Natural Language Processing and Parsing, there are a multitude of practical and professional domains that see its growing importance. For instance, the field of education often avails of advances in Computational Linguistics to develop sophisticated teaching tools and e-learning methods. For example, those involved in teaching young children, especially preschoolers, may find new techniques and technologies invaluable in creating engaging, accessible learning environments. It is pertinent to note that professionals in this domain should be adequately equipped with necessary training and qualifications to effectively utilize these tools. Those interested in pursuing a career in early childhood education can find a detailed guide on the requirements in our article on preschool teacher assistant requirements in West Virginia. Thus, it is clear that Computational Linguistics offer a wide array of opportunities, not only in scientific or technological research, but also in real world applications which have a far-reaching impact.
John Lawrence;Chris Reed
(2020)Unknown
(2024)Yonatan Belinkov
(2021)Fernando Alva-Manchego;Carolina Scarton;Lucia Specia
(2020)Tal Schuster;Roei Schuster;Darsh J. Shah;Regina Barzilay
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