Ready to Order is for students training to become or working as chefs, bartenders or waiting staff. It provides the language training they need to be operational in the fast-moving food and beverage industry.
In this paper I will show that it is relatively consistent with the usual axioms of mathematics (ZFC) together with a strong form of the axiom of inﬁnity (the existence of a supercompact cardinal) that the class of uncountable linear orders has a ﬁve element basis. In fact such a basis follows from the Proper Forcing Axiom, a strong form of the Baire Category Theorem. The elements ∗ are X, ω1 , ω1 , C, C ∗ where X is any suborder of the reals of cardinality ℵ1 and C is any Countryman line. This conﬁrms a longstanding conjecture...
In this work, we present a novel approach to the generation task of ordering prenominal modiﬁers. We take a maximum entropy reranking approach to the problem which admits arbitrary features on a permutation of modiﬁers, exploiting hundreds of thousands of features in total. We compare our error rates to the state-of-the-art and to a strong Google ngram count baseline. We attain a maximum error reduction of 69.8% and average error reduction across all test sets of 59.1% compared to the state-of-the-art and a maximum error reduction of 68.
We give two new criteria by which pairs of permutations may be compared in
defining the Bruhat order (of type A). One criterion utilizes totally nonnegative
polynomials and the other utilizes Schur functions.The Bruhat order on Sn is often defined by comparing permutations = (1) · · ·(n)
and = (1) · · ·(n) according to the following criterion..
Title The Cleveland EraSubtitle A Chronicle of the New Order in Politics (Dodo Press)Authors and contributors By (author) Henry Jones FordPhysical properties Format: PaperbackNumber of pages: 120Width: 229 mmHeight: 152 mmThickness: 7 mmWeight: 188 gAudience General/tradeISBN ISBN 13: 9781409930112ISBN 10: 1409930114Classifications BICMainSubject: HBKBIC geographical qualifier: 1KBBNi......
We investigate the problem of ordering medical events in unstructured clinical narratives by learning to rank them based on their time of occurrence. We represent each medical event as a time duration, with a corresponding start and stop, and learn to rank the starts/stops based on their proximity to the admission date.
A central issue in work on modiﬁer ordering is how to order modiﬁers that are unobserved during system development. English has upwards of 200,000 words, with over 50,000 words in the vocabulary of an educated adult (Aitchison, 2003). Up to a quarter of these words may be adjectives, which poses a signiﬁcant problem for any system that attempts to categorize English adjectives in ways that are useful for an ordering task. Extensive in-context observation of adjectives and other modiﬁers is required to 1 Introduction adequately characterize their behavior. ...
In summarization, sentence ordering is conducted to enhance summary readability by accommodating text coherence. We propose a grouping-based ordering framework that integrates local and global coherence concerns. Summary sentences are grouped before ordering is applied on two levels: group-level and sentence-level. Different algorithms for grouping and ordering are discussed. The preliminary results on single-document news datasets demonstrate the advantage of our method over a widely accepted method. ...
Ordering information is a difﬁcult but important task for applications generating natural-language text. We present a bottom-up approach to arranging sentences extracted for multi-document summarization. To capture the association and order of two textual segments (eg, sentences), we deﬁne four criteria, chronology, topical-closeness, precedence, and succession. These criteria are integrated into a criterion by a supervised learning approach.
We present a global discriminative statistical word order model for machine translation. Our model combines syntactic movement and surface movement information, and is discriminatively trained to choose among possible word orders. We show that combining discriminative training with features to detect these two different kinds of movement phenomena leads to substantial improvements in word ordering performance over strong baselines. Integrating this word order model in a baseline MT system results in a 2.4 points improvement in BLEU for English to Japanese translation. ...
In Sayeed and Szpakowicz (2004), we proposed a parser inspired by some aspects of the Minimalist Program. This incremental parser was designed speciﬁcally to handle discontinuous constituency phenomena for NPs in Latin. We take a look at the application of this parser to a speciﬁc kind of apparent island violation in Latin involving the extraction of constituents, including subjects, from tensed embedded clauses. We make use of ideas about the left periphery from Rizzi (1997) to modify our parser in order to handle apparently violated subject islands and similar phenomena. ...
They are informed and motivated by our practical need for ordering multiple premodifiers in the MAGIC system [Dalal et al. 1996]. MAGIC utilizes co-ordinated text, speech, and graphics to convey information about a patient's status after coronary bypass surgery; it generates concise but complex descriptions that frequently involve four or more premodifiers in the same noun phrase.
A fundamental problem in text generation is word ordering. Word ordering is a computationally difﬁcult problem, which can be constrained to some extent for particular applications, for example by using synchronous grammars for statistical machine translation. There have been some recent attempts at the unconstrained problem of generating a sentence from a multi-set of input words (Wan et al., 2009; Zhang and Clark, 2011). By using CCG and learning guided search, Zhang and Clark reported the highest scores on this task.
In this paper, we describe a method for automatically retrieving collocations from large text corpora. This method retrieve collocations in the following stages: 1) extracting strings of characters as units of collocations 2) extracting recurrent combinations of strings in accordance with their word order in a corpus as collocations. Through the method, various range of collocations, especially domain specific collocations, are retrieved.
Managers need to assign costs to products to facilitate external financial reporting and internal decision making. This chapter illustrates an absorption costing approach to calculating product costs known as job-order costing.
Antifreeze proteins (AFPs) are produced by many species of teleost fish
that inhabit potentially lethal ice-laden seawater and afford them protec-tion from freezing. To date type I AFPs have been fully characterized in
two teleost orders: Pleuronectiformes and Scorpaeniformes.
A study by Kenneth E. Harper indicates that word order in Russian scientific writing is sufficiently similar to that of English to permit word-for-word translation from Russian to English. Further study of Russian texts shows that word order in scientific Russian is sufficiently different to require analysis, for translation purposes, based on form and function rather than on word-for-word correspondence.