Topic
Phrase
About: Phrase is a research topic. Over the lifetime, 12580 publications have been published within this topic receiving 317823 citations. The topic is also known as: syntagma & phrases.
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TL;DR: The authors found that conceptual information helps syntactic accuracy when congruent with syntactic information and hinders accuracy when incongruent, as predicted by the maximalist hypothesis of Vigliocco and Franck.
89 citations
TL;DR: The results showed that, for the majority of the children, disrupted sentences tended to be longer and more complex than fluent sentences, and differences between the average complexity of disrupted versus fluent sentences increased with grammatical development even when sentence length was held constant.
Abstract: This research explored the relationship between sentence disruptions and the length and complexity of sentences spoken by children developing grammar. The study was cross-sectional in design and used samples of naturalistic, conversational interaction between 26 typically developing children (ages 2;6 to 4;0) and a primary caregiver. The active, declarative sentences produced by these children were coded for the presence of disruption, length in morphemes and words, and clausal complexity. The results showed that, for the majority of the children, disrupted sentences tended to be longer and more complex than fluent sentences. The magnitude of the differences in length and complexity was positively correlated with the children's grammatical development, as measured by the Index of Productive Syntax. It was also found that differences between the average complexity of disrupted versus fluent sentences increased with grammatical development even when sentence length was held constant. As grammatical development proceeded, disrupted sentences were more apt to be sentences on the "leading-edge" of the child's production capacity. Although these more advanced grammatical structures are part of the child's grammatical competence, the child cannot produce these sentences without an increased risk of processing difficulty. The results are congruent with proposals concerning the incremental and procedural nature of adult sentence production.
89 citations
16 Sep 2008
TL;DR: The entire system is based upon statistical observations, simple grammatical facts, heuristics, and lexical information of English language, and it is remarked that the devised system does not require a learning phase.
Abstract: In this paper we present an automatic Keyphrase extraction technique for English documents of scientific domain. The devised algorithm uses n-gram filtration technique, which filters sophisticated n-grams {1dnd4} along with their weight from the words of input document. To develop n-gram filtration technique, we have used (1) LZ78 data compression based technique, (2) a simple refinement step, (3) A simple Pattern Filtration algorithm and, (4) a term weighting scheme. In term weighting scheme, we have introduced the importance of position of sentence (where given phrase occurs first) in document and position of phrase in sentence for documents of scientific domain (which is literally more organized than other domains). The entire system is based upon statistical observations, simple grammatical facts, heuristics, and lexical information of English language. We remark that the devised system does not require a learning phase. Our experimental results with publically available text dataset, shows that the devised system is comparable with other known algorithms.
88 citations
Patent•
06 Nov 2008
TL;DR: In this paper, the problem of determining the right language for a given word and the language of a sentence without using a high-speed microprocessor when the word and sentence are output through voice synthesis using an electronic dictionary is addressed.
Abstract: PROBLEM TO BE SOLVED: To voice-synthesize and output a head-word, an example sentence, a word and a phrase, a translation, etc., by correctly deciding a selected word and the language of a sentence without using a high-speed microprocessor when the word and sentence are output through voice synthesis using an electronic dictionary. SOLUTION: A language decision means 21 decides a language to be used for outputting the word and sentence based upon information on the kind of a selected dictionary and tag information. A synthesized voice generating means 22 synthesizes voice data from text data of the word and sentence using a voice synthesis engine corresponding to the decided language. The language is automatically decided, so that it is not required to a user to set the language. Further, the language is decided based upon the information on the kind of the selected dictionary and the tag information, so that processing does not become complicated and a high-speed microprocessor is not required. COPYRIGHT: (C)2009,JPO&INPIT
88 citations
Patent•
01 Mar 1996
TL;DR: In this paper, a method for generating sentences of text for selected medical findings in an electronic medical diagnostic system is disclosed, where a descriptive phrase for each medical finding is created and each descriptive phrase is then analyzed to determine possible truncation points for modifying the descriptive phrase of one medical finding if another medical finding was also selected.
Abstract: A method for generating sentences of text for selected medical findings in an electronic medical diagnostic system is disclosed. First, a descriptive phrase for each medical finding is created. Each descriptive phrase is then analyzed to determine possible truncation points for modifying the descriptive phrase of one medical finding if another medical finding is also selected. A code at each possible truncation point is then entered into the phrase. Language to be inserted at each of the truncation points is then created and the descriptive phrase and modifying language are stored. Finally, the stored descriptive phrases and modifying language are then combined to form a readable text for the medical findings selected from the database.
88 citations