Designing A Long Lasting Linguistic Project: The Case Study of ASIt
In this paper, we discuss the requirements that a long lasting linguistic database should have in order to meet the needs of the linguists together with the aim of durability and sharing of data. In particular, we discuss the generalizability of the Syntactic Atlas of Italy, a linguistic project that builds on a long standing tradition of collecting and analyzing linguistic corpora, on a more recent project that focuses on the synchronic and diachronic analysis of the syntax of Italian and Portuguese relative clauses. The results that are presented are in line with the FLaReNet Strategic Agenda that highlighted the most pressing needs for research areas, such as Natural Language Processing, and presented a set of recommendations for the development and progress of Language resources in Europe.
Code (0)
등록된 구현이 없습니다.
Similar Papers 제목 키워드 기반
The GLAUx corpus: methodological issues in designing a long-term, diverse, multi-layered corpus of Ancient Greek
This paper describes the GLAUx project (“the Greek Language Automated”), an ongoing effort to develop a large long-term diachronic corpus of Greek, covering sixteen centuries of literary and non-literary material annotat…
Texto4Science: a Quebec French Database of Annotated Short Text Messages
In October 2009, was launched the Quebec French part of the international sms4science project, called texto4science. Over a period of 10 months, we collected slightly more than 7000 SMSs that we carefully annotated. This…
Speech SynthesisText-To-Speech SynthesisLinguistic Harbingers of Betrayal: A Case Study on an Online Strategy Game
Interpersonal relations are fickle, with close friendships often dissolving into enmity. In this work, we explore linguistic cues that presage such transitions by studying dyadic interactions in an online strategy game w…
FormInterpretable Molecular Graph Generation via Monotonic Constraints
Designing molecules with specific properties is a long-lasting research problem and is central to advancing crucial domains such as drug discovery and material science. Recent advances in deep graph generative models tre…
DisentanglementDrug DiscoveryGraph GenerationMolecular Graph GenerationTowards impactful challenges: post-challenge paper, benchmarks and other dissemination actions
The conclusion of an AI challenge is not the end of its lifecycle; ensuring a long-lasting impact requires meticulous post-challenge activities. The long-lasting impact also needs to be organised. This chapter covers the…