25,089 research outputs found
APEL CLIENT USER GUIDE
APEL (Accounting Processor for Event Logs) gathers CPU accounting information by parsing batch system and blah accounting log files and inserting the data into a local MySQL database. APEL then publishes the data into a centralized reposito
Unsupervised generation of parallel treebanks through sub-tree alignment
The need for syntactically annotated data for use in natural language processing has increased dramatically
in recent years. This is true especially for parallel treebanks, of which very few exist. The ones
that exist are mainly hand-crafted and too small for reliable use in data-oriented applications. In this
paper we introduce an open-source system for fast and robust automatic generation of parallel treebanks.
We expect the opening of the presented platform to the scientific community to help boost research
in the field of data-oriented machine translation and lead to advancements in other fields where
parallel treebanks can be employed
Disambiguation strategies for data-oriented translation
The Data-Oriented Translation (DOT) model { originally proposed in (Poutsma, 1998, 2003) and based on Data-Oriented Parsing (DOP) (e.g. (Bod, Scha, & Sima'an, 2003)) { is best described as a hybrid model of
translation as it combines examples, linguistic information and a statistical translation model. Although theoretically interesting, it inherits the computational complexity associated with DOP. In this paper, we focus on
one computational challenge for this model: efficiently selecting the `best' translation to output. We present four different disambiguation strategies in terms of how they are implemented in our DOT system, along with experiments
which investigate how they compare in terms of accuracy and
efficiency
SCU Courses
Registering for classes is a nightmare that students at Santa Clara University undergo three or more times a year while juggling midterm exams. It’s hard to find a schedule that works well for you, balancing the need to take classes that will satisfy degree progress with the need to work around obligations outside of class and avoid getting stuck in an 8am lecture. SCU Courses is a web app where students input their current degree progress and receive a list of possible schedules to take next quarter, collapsing the time-consuming process of carefully crafting a schedule into just one step: choose your favorite
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