The American Name Society (ANS) is inviting proposals for papers for its next annual conference, January 22-25, 2021. After serious deliberation of an official proposal made on the 8th of May 2020, the Executive Council of the American Name Society unanimously voted to hold the 2021 Annual Conference online. All presentation sessions will be held online during the four days of the conference. This means that our conference will NOT be held in conjunction with the LSA meeting, which is still slated to be held in January 2021 in San Francisco. To submit a proposal, simply complete the 2021 Author Information Form.
Abstracts in any area of onomastic research are welcome. The NEW DEADLINE for receipt of abstracts is AUGUST 1, 2020.
Please email this completed form to ANS Vice President Laurel Sutton using the following address: <laurelasutton@gmail.com>. For organizational purposes, please be sure to include the phrase “ANS 2021” in the subject line of your email.
All proposals will be subjected to blind review. Official notification of proposal acceptances will be sent on or before September 30, 2020. All authors whose papers have been accepted must be current members of the ANS. Please feel free to contact ANS Vice President Laurel Sutton should you have any questions or concerns.
A downloadable PDF of the REVISED Call for Papers can be found here.
We look forward to receiving your submission!

Revista Onomástica desde América Latina (Onomastics from Latin America) is a semiannual publication dedicated to the promotion and dissemination of onomastic research at national and international level. The journal is receiving articles in English, Portuguese and Spanish.



The “Iorgu Iordan – Alexandru Rosetti” Institute of Linguistics of the Romanian Academy invites you to participate at THE EIGHTH INTERNATIONAL
In the language engineering and the linguistics communities, research in comparable corpora has been motivated by two main reasons. In language engineering, on the one hand, it is chiefly motivated by the need to use comparable corpora as training data for statistical NLP applications such as statistical and neural machine translation or cross-lingual retrieval. In linguistics, on the other hand, comparable corpora are of interest in themselves by making possible cross-language discoveries and comparisons. As such, it is of great interest to bring together builders and users of such corpora.