A modal ambiguity in for-infinitival relative clauses

This squib presents two puzzles related to an ambiguity found in for-infinitival relative clauses (FIRs). FIRs invariably receive a modal interpretation even in the absence of any overt modal verb. The modal interpretation seems to come in two distinct types, which can be paraphrased by finite relative clauses employing the modal auxiliaries should and could. The two puzzles presented here arise because the availability of the two readings is constrained by factors that are not otherwise known to affect the interpretation of a relative clause. Specifically, we show, first, that “strong” determiners require the FIR to be interpreted as a SHOULD-relative while “weak” determiners allow both interpretations (the Determiner-Modal Generalization). Secondly, we observe that the COULD-interpretation requires a raising (internally headed) structure for the FIR, while the SHOULD-interpretation is compatible with either a raising or a more standard matching (externally headed) structure (the Raising/Matching Generalization)

'Tough'-constructions and their derivation

This article addresses the syntax of the notorious 'tough' (-movement) construction (TC) in English. TCs exhibit a range of apparently contradictory empirical properties suggesting that their derivation involves the application of both A-movement and A'-movement operations. Given that within previous Principles and Parameters models TCs have remained “unexplained and in principle unexplainable” (Holmberg 2000: 839) due to incompatibility with constraints on theta-assignment, locality, and Case, this article argues that the phase-based implementation of the Minimalist program (Chomsky 2000, 2001, 2004) permits a reanalysis of null wh-operators capable of circumventing the previous theoretical difficulties. Essentially, 'tough'-movement consists of A-moving a constituent out of a “complex” null operator which has already undergone A'-movement, a “smuggling” construction in the terms of Collins (2005a,b

Camtrap DP: an open standard for the FAIR exchange and archiving of camera trap data

Camera trapping has revolutionized wildlife ecology and conservation by providing automated data acquisition, leading to the accumulation of massive amounts of camera trap data worldwide. Although management and processing of camera trap-derived Big Data are becoming increasingly solvable with the help of scalable cyber-infrastructures, harmonization and exchange of the data remain limited, hindering its full potential. There is currently no widely accepted standard for exchanging camera trap data. The only existing proposal, “Camera Trap Metadata Standard” (CTMS), has several technical shortcomings and limited adoption. We present a new data exchange format, the Camera Trap Data Package (Camtrap DP), designed to allow users to easily exchange, harmonize and archive camera trap data at local to global scales. Camtrap DP structures camera trap data in a simple yet flexible data model consisting of three tables (Deployments, Media and Observations) that supports a wide range of camera deployment designs, classification techniques (e.g., human and AI, media-based and event-based) and analytical use cases, from compiling species occurrence data through distribution, occupancy and activity modeling to density estimation. The format further achieves interoperability by building upon existing standards, Frictionless Data Package in particular, which is supported by a suite of open software tools to read and validate data. Camtrap DP is the consensus of a long, in-depth, consultation and outreach process with standard and software developers, the main existing camera trap data management platforms, major players in the field of camera trapping and the Global Biodiversity Information Facility (GBIF). Under the umbrella of the Biodiversity Information Standards (TDWG), Camtrap DP has been developed openly, collaboratively and with version control from the start. We encourage camera trapping users and developers to join the discussion and contribute to the further development and adoption of this standard. Biodiversity data, camera traps, data exchange, data sharing, information standardspublishedVersio

Universal WBC reduction

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/75583/1/j.1537-2995.2000.40060751.x.pd