نتایج جستجو برای: phrases and similar verb forms
تعداد نتایج: 16858219 فیلتر نتایج به سال:
Chinese and Korean belong to different language families in terms of word-order and morphological typology. Chinese is an SVO and morphologically poor language while Korean is an SOV and morphologically rich one. In Chinese-to-Korean SMT systems, systematic differences between the verbal systems of the two languages make the generation of Korean verbal phrases difficult. To resolve the difficul...
Our research is motivated by the observation that NLP systems frequently mislabel passive voice verb phrases as being in the active voice when there is no auxiliary verb (e.g., “The man arrested had a long record”). These errors directly impact thematic role recognition and NLP applications that depend on it. We present a learned classifier that can accurately identify reduced passive voice con...
The nature of working memory operation during complex sentence comprehension was studied by means of eye-tracking methodology. Readers had difficulty when the syntax of a sentence required them to hold 2 similar noun phrases (NPs) in working memory before syntactically and semantically integrating either of the NPs with a verb. In sentence structures that placed these NPs at the same linear dis...
the present study investigated construct equivalence of multiple choice (mc) and constructed response (cr) item types across stem and content equivalent mc and cr items (item type ‘a’), non-stem-equivalent but content equivalent mc and cr items (item type ‘b’), and non-stem and non-content equivalent mc and cr items (item type ‘c’). one hundred seventy english-major undergraduates completed mc ...
We describe a mechanism for automatically acquiring verb subcategorization frames and their frequencies in a large corpus. A tagged corpus is first partially parsed to identify noun phrases and then a finear grammar is used to estimate the appropriate subcategorization frame for each verb token in the corpus. In an experiment involving the identification of six fixed subcategorization frames, o...
In this paper, we present a method for generating French texts conveying temporal information that integrates Discourse Representation Theory (DRT) and Systemic Grammar Theory. DRT is used to represent temporal information and an intermediate semantic level for the temporal localization expressed by temporal adverbial phrases and verb phrases. This representation is then translated into a synta...
The authors examined how people integrate knowledge of agents and patients of events with the temporal and causal properties of present and past participles to constrain interpretation of isolated participle-noun phrases like arresting cop and arrested crook. Good-agent head nouns were more easily combined with present participles (e.g., arresting cop) than with past participles (e.g., arrested...
Models of interference in sentence processing claim that object relative clauses are harder to process than subject relatives due to interference between the subject and object noun phrase. The interference effect for object relatives at the verb should be more pronounced when the two noun phrases retrieved from memory are similar. To test this, two eye tracking experiments manipulated whether ...
We present a system that produces sentential descriptions of video: who did what to whom, and where and how they did it. Action class is rendered as a verb, participant objects as noun phrases, properties of those objects as adjectival modifiers in those noun phrases, spatial relations between those participants as prepositional phrases, and characteristics of the event as prepositional-phrase ...
A robust result in research on the production of grammatical agreement is that speakers are more likely to produce an erroneous verb with phrases such as the key to the cabinets, with a singular noun followed by a plural one, than with phrases such as the keys to the cabinet, where a plural noun is followed by a singular. These asymmetries are thought to reflect core language production process...
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