| 词汇 | example_english_natural-language |
| 释义 | Examples of natural languageThese examples are from corpora and from sources on the web. Any opinions in the examples do not represent the opinion of the Cambridge Dictionary editors or of Cambridge University Press or its licensors. The feature of having a well-formed output is particularly important for users who want to acquire or improve naturallanguage skills. A memory-based approach to learning shallow naturallanguage patterns. The crucial point for these purposes is that naturallanguage is both an input and an output system. What evidence is there to support the hypothesis that naturallanguage is the medium of inter-modular communication, or of non-domain-specific integrated thinking? They attempt to provide an account of what naturallanguage sentences are about. The general idea is that a certain type of thinking is conducted in naturallanguage. That is, this is not a pure mentalese expression that can be "directly translated" into a naturallanguage. This classification is similar to the classification of words into verb, noun, adjectives, and so on in a naturallanguage. The theory should be able to use naturallanguage but should also be able to assert what things cannot be found in a naturallanguage. Representing time in naturallanguage: the dynamic interpretation of tense and aspect. In any case, that's a naturallanguage for you. Partly because my thesis is that it is the naturallanguage faculty that does the integrative work. I shall come to focus, in particular, on the thesis that naturallanguage is the medium of inter-modular integration. Besides using naturallanguage sentences, an action function can also be represented by other means. A naturallanguage sentence scheme can be used because it can represent both types of function. In these situations, naturallanguage sentences provide a good tool in function representation. Implementations of rhythmic units in each naturallanguage in the world are, however, unique. These claims imply an underlying language of thought of considerable power, power equivalent to that of a naturallanguage. For the biologist as well as the physicist, nature is not written like a book in naturallanguage, nor even in computer language. That is a key feature in naturallanguage processing, where dealing with ambiguities is a must. A temporal data model managing intervals with different granularities and indeterminacy from naturallanguage sentences. Some examples of search problems are optimization problems (planning, scheduling, configuration), naturallanguage parsing, and theorem proving. Naturallanguage processing often involves a phase called tagging in which the different words are classified before the "real" parsing process takes place. Furthermore, developments in naturallanguage understanding still lag behind the need for a natural user interface to a robot. Locutor-agents do not perform naturallanguage utterances, but perform semantic representations of communicative acts. It also helps to make clearer the connections between naturallanguage processing and other areas such as combinatorial pattern matching and computational biology. The knowledge-enhanced searching of captioned information module permits making queries about images using their captions in naturallanguage. Rather than tackling unrestricted naturallanguage inputs, the agents propose a dynamic set of inputs to the users. We are not concerned, here, with questions about how well some automatic parser or naturallanguage analysis system performs. Although it talks about language and speech technology, in reality, it mainly deals with automatic speech recognition and traditional rule-based naturallanguage parsing. All this makes it necessary to use some form of preprocessing of email before applying a more general, principled naturallanguage processing system. However, most traditional naturallanguage processing systems are based on the assumption that texts to be processed follow the abstract grammar implemented by their designers. A discourse model is essential for constructing computer systems capable of interpreting and generating naturallanguage texts. Naturallanguage interfaces for such interaction must take into consideration the characteristics of human computer interaction instead of trying to mimic human interaction. The latter include intelligent agents, naturallanguage understanding and processing, reasoning strategies, and knowledge representations and ontologies. But this doesn't necessarily mean that the locus of thought is naturallanguage representations (words, syntax, phonology). Naturallanguage is characterized by its fluid uncertain unstable nature: evolution is the normal process of language. We then review the four modes of user interaction in existing semantic search systems, namely keyword-based, form-based, view-based and naturallanguage-based systems. It has also been extended to cope with other media beyond naturallanguage. This article may be seen as a contribution to the investigation of the role of events in naturallanguage semantics. Naturallanguage processing has also provided some tools for computerised scoring of essays, particularly relevant in large-scale language testing programs. Moreover, attempts have been made to increase the eectiveness of naturallanguage simulating facial expression, intonation, and gestures. The three patterns discussed exhaust the possibilities found in naturallanguage (disregarding distinctions within the class of vowels). In spite of the difficulties associated with naturallanguage processing and writing automated queries, the system performed very well. It has to be stored elsewhere, a place where language processor does not normally go to in naturallanguage communication. For example, agent communication normally involves the passing of information at the knowledge level (constructs of naturallanguage syntax which has a high level meaning). Generalized context-free grammars, head grammars, and naturallanguage. Some systems attempt to merge naturallanguage with graphics, menus, and forms, to combine the strengths of all modalities. These are systems in which formal proofs are interactively constructed in type theory and at the same time viewed as texts in naturallanguage. The relevant scientific results in this case are the outputs of computational linguistics, naturallanguage processing and artificial intelligence in general. In the naturallanguage processing and computational linguistics literature, there is a definite bias toward preferring 'theoretical' solutions. B2 does this by generating story problems and supporting naturallanguage dialogs about the conclusions of the model and the reasoning behind them. But, on the contrary, we note that the lexical components of naturallanguage processing applications are more and more important nowadays. Unsupervised learning of the morphology of a naturallanguage. The great advantage of using a naturallanguage is that it is eectively accessible to all readers. Clearly, he is correct, as no one external influence can predict all of the typological variation found in naturallanguage. The main idea was to translate into ' naturallanguage' the rules used during the reasoning process. In fact there are no webs, few ostinati and no accumulations in naturallanguage, although such objects may be contrived by composers. Both the naturallanguage interpretation and naturallanguage generation modules are subordinate to the dialogue controller. Simulation 3 was conducted to simulate the child's naturallanguage learning environment by including two conditions with different mixtures of addressee and non-addressee materials. It has also grown naturally so as to display all the qualities of a naturallanguage, including its own kinds of accent and dialectal variation. Allowing unrestricted naturallanguage dialogue would appear to require full human conversational competence, which does not seem feasible in the foreseeable future. It is often a topic of tension to balance the domain specificity versus the portability of a naturallanguage grammar. This special issue presents the state-of-the-art in methods for robust naturallanguage processing and understanding. The input to this stage is, by assumption, a naturallanguage question, though this needs qualifying in several ways. However various analysis techniques have been proposed in order to address specific aspects of naturallanguage. The second section of the book is concerned with various approaches to the parsing and generation of naturallanguage. Both these problems can be traced to the inherent difficulty of lexical ambiguity of naturallanguage. In the complexity of naturallanguage, different linguistic systems operate alongside one another. There are no doubt many other attempts at naturallanguage search. This was a particular issue for the naturallanguage components. Our focus here is on the production of text, but work in naturallanguage generation is also concerned with systems that can communicate using speech. The more important point here is that the market is not interested in naturallanguage processing per se, it is interested in solutions. Syntactic pre-processing has traditionally been a critical step in naturallanguage analysis and has been well studied. Broadcasting directly to a personal pager again requires naturallanguage, but in a far more abbreviated form to allow for a pager's limited message length. By allowing both naturallanguage and mouse-pointing, the user can combine the strengths of both modalities. Furthermore, the interests of naturallanguage engineers are broader than simple system building. We also performed several experiments of indexation of naturallanguage texts using transducers or automata. In my opinion this represents the book's chief contribution to the field of naturallanguage engineering. The patterns of continuation guide reasoning in two ways that are important for naturallanguage systems. The knowlege representation component supports naturallanguage interaction. Language generation is used to produce a naturallanguage text expressing the system's input data, and speech generation is used to make this text audible. The process of relating meaning to form, central in naturallanguage learning, is therefore completely absent in the process of acquiring a finite-state grammar. Neither of these comments is acceptable as written to the naturallanguage parser. This domain includes many important applications for naturallanguage interaction, not only relational database applications but also for instance applications utilizing a hierarchically organized database. Such a linkage, we believe, would produce a practical system that could be used as the skeleton of many naturallanguage processing applications. This automaton is very useful in many naturallanguage processing applications. This is because it uses a thorough but thesaurus-based approach rather than considering how a word can be used in naturallanguage. Other naturallanguage generation tasks such as document structuring, lexicalisation, and aggregation are carried out in the fourth component. This is because the disciplines are connected by a common object of enquiry, naturallanguage. Engineering-oriented computational linguistics is the study of methods for the construction or improvement of useful artifacts that manipulate naturallanguage. Research projects have investigated more sophisticated techniques to translate symbol sequences into naturallanguage. By resolving the reference resolution in the design document, the shallow naturallanguage processing technique increases the amount of design information content extracted. The system needs to be complex enough to know how to express that information in naturallanguage. These examples are from corpora and from sources on the web. Any opinions in the examples do not represent the opinion of the Cambridge Dictionary editors or of Cambridge University Press or its licensors. |
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