Call for Nominations: Inaugural Computational Linguistics Doctoral Dissertation Award

The ACL Executive Committee is delighted to announce the establishment of the Computational Linguistics Doctoral Dissertation Award.

This prestigious award, initiated by the Association for Computational Linguistics (ACL), aims to recognize and promote outstanding doctoral research in the field of computational linguistics and natural language processing. Presented annually at the ACL conference, the award includes a monetary prize and funding to cover the recipient's travel expenses to attend the conference. Additionally, the recipient will deliver an oral presentation during a special session at the conference and receive a certificate presented by the current President of ACL. Each year, one winner will be selected, and there may be several runners-up.

Nominations should be submitted by the candidate's PhD advisor. For the inaugural award, the deadline for nominations is January 31, 2025 (at 11.59 pm, AOE). Further details, including submission guidelines, can be found at this link (https://bit.ly/cl-dissertation-award).

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What is computational linguistics?

Computational linguistics is the scientific study of language from a computational perspective. Computational linguists are interested in providing computational models of various kinds of linguistic phenomena. These models may be "knowledge-based" ("hand-crafted") or "data-driven" ("statistical" or "empirical"). Work in computational linguistics is in some cases motivated from a scientific perspective in that one is trying to provide a computational explanation for a particular linguistic or psycholinguistic phenomenon; and in other cases the motivation may be more purely technological in that one wants to provide a working component of a speech or natural language system. Indeed, the work of computational linguists is incorporated into many working systems today, including speech recognition systems, text-to-speech synthesizers, automated voice response systems, web search engines, text editors, language instruction materials, to name just a few.

Popular computational linguistics textbooks include: