Heterosemy and the grammar-lexicon trade-off
نویسنده
چکیده
A fundamental task for the grammarian is to determine what will be listed in the lexicon, and what will be derived from this list by productive rules specified in the grammar. The balance of information between grammar and lexicon becomes – in principle – an economical trade-off. While a grammarian can theoretically make as many detailed distinctions as he or she likes, the description should capture useful generalisations in an accessible way. Ideally this will reflect natural relationships at higher levels within the linguistic system being described. The need to balance parsimony, accuracy and comprehensiveness, readability, and intuitive faithfulness to the genius of a language is what makes grammar-writing as much an art as it is a technical craft. This tension is exemplified by the problem to be discussed in this chapter, namely: How should the grammarian treat a morpheme which apparently has membership in more than one grammatical class?
منابع مشابه
Effective Prediction of Errors by Non-native Speakers Using Decision Tree for Speech Recognition-Based CALL System
CALL (Computer Assisted Language Learning) systems using ASR (Automatic Speech Recognition) for second language learning have received increasing interest recently. However, it still remains a challenge to achieve high speech recognition performance, including accurate detection of erroneous utterances by non-native speakers. Conventionally, possible error patterns, based on linguistic knowledg...
متن کاملGeneralizing Subcategorization Frames Acquired from Corpora Using Lexicalized Grammars
This paper presents a method of improving the quality of subcategorization frames (SCFs) acquired from corpora in order to augment a lexicon of a lexicalized grammar. We first estimate a confidence value that a word can have each SCF, and create an SCF confidence-value vector for each word. Since the SCF confidence vectors obtained from the lexicon of the target grammar involve co-occurrence te...
متن کاملA Multi-Mode Resource-Constrained Optimization of Time-Cost Trade-off Problems in Project Scheduling Using a Genetic Algorithm
In this paper, we present a genetic algorithm (GA) for optimization of a multi-mode resource constrained time cost trade off (MRCTCT) problem. The proposed GA, each activity has several operational modes and each mode identifies a possible executive time and cost of the activity. Beyond earlier studies on time-cost trade-off problem, in MRCTCT problem, resource requirements of each execution mo...
متن کاملA New Heuristic Algorithm for Time-cost Trade-off Problem Taking into Account Monetary Value
Time-cost trade-off is one of the most important subjects in project management and of interest to contractors. The goal of time-cost trade-off is sensivity analysis of project costs to changes in activity duration in order to obtain the best combination of activity duration decrease, in a way that the sum of project costs is minimized. In the heuristics presented in this area, time crashing is...
متن کاملTowards a shared task for shallow semantics-based translation (in an industrial setting)
In the Lingenio analysis systems, the sentences are analyzed into syntactic slot grammar representations from which so called 'dependency trees' are derived which reduce the analyses to the semantically relevant nodes and decorate these by information from the semantic lexicon. Slot grammar is a unification-‐based dependency grammar (cf. McCord 89). It has been used in the Logic based Machine ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2006