![]() ![]() We discuss how such orchestration choices affect the scope of MWE-aware systems. Many of the approaches in the literature can be differentiated according to how MWE processing is timed with respect to underlying use cases. It also elucidates the interactions between MWE processing and two use cases: Parsing and machine translation. ![]() It offers a shared understanding of what is meant by “MWE processing,” distinguishing the subtasks of MWE discovery and identification. We propose a conceptual framework within which challenges and research contributions can be positioned. The emergence of solutions in the absence of guiding principles motivates this survey, whose aim is not only to provide a focused review of MWE processing, but also to clarify the nature of interactions between MWE processing and downstream applications. The issue of MWE handling is crucial for NLP applications, where it raises a number of challenges. The structure of linguistic processing that depends on the clear distinction between words and phrases has to be re-thought to accommodate MWEs. Multiword expressions (MWEs) are a class of linguistic forms spanning conventional word boundaries that are both idiosyncratic and pervasive across different languages. ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |