Syntactic structure and ambiguity of English

Kuno, Susumu; Oettinger, Anthony G.

doi:10.1145/1463822.1463864

Cited by 24 publications

(16 citation statements)

References 5 publications

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“…Kaplan 1950, Kuno-Oettinger 1963, on a remarqué que l'un des problèmes les plus difficiles de l'analyse syntaxique automatique des langues naturelles découle de l'ambiguïté de celles-ci. En effet, les mots, les expressions, les syntagmes, les propositions exprimées dans une langue naturelle ont une fâcheuse tendance à être interprétables de plusieurs façons différentes.…”

Section: Ambiguïté (Combinatoire)unclassified

Théorie syntaxique et théorie du parsage : quelques réflexions

Morin

1985

Revue québécoise de linguistique

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Section: Ambiguïté (Combinatoire)unclassified

Théorie syntaxique et théorie du parsage : quelques réflexions

Morin

1985

Revue québécoise de linguistique

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“…The full program, including probability tables, is contained in less than 6500 48-bit words of storage, and the procedure can readily be subdivided into four component phases: the dictionary, morphology, ad hoc and probability phases. 2 Dictionary Phase. The original intention behind the inclusion of this phase in the program was to quickly identify those words which were relatively frequent in occurrence and relatively unambiguous with respect to form class membership.…”

Section: Description Of the Wissyn Systemmentioning

confidence: 99%

“…Given a set of words and a set of grammaticM classes, one carl map the former into the latter through a set of one-to-one or one-to-many relations in the form of a dictionary lookup procedure. One such program is limited to a set of 800 words of basic English (Lindsay, [3]) while others use much more extensive dictionaries, sometimes exceeding 75,000 words (e.g., Kuno and Oetringer [2]). …”

Section: Introductionmentioning

confidence: 99%

Stochastic approach to the grammatical coding of english

1965

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words to be encountered during tile text processing. More recently, a straight dietionalT approach has been supplemented througtl the use of computational decision procedures. The present paper reports on one such computational system, WISSYN, in which decisions about how to code certain words are based on conditional probabilities of various form classes occurring in given syntactic environments. A computer program is described which will assign each word in an English text to its form class or part of speech. The program operates at relatively high speed in only a limited storage space. About half of the word-events in a corpus are identified through the use of a small dictionary of function words and frequently occurring lexical words. Some suffix tests and Iogical-decislon rules are employed to code additional words. Finally, the remaining words are assigned to one class or another on the basis of the most probable form classes to occur within the already identified contexts. The conditional probabilities used as a basis for this coding were empirically derived from a separate hand-coded corpus. On preliminary trials, the accuracy of the coder was 91% to 93%, with obvious ways of improving the algorithm being suggested by an analysis of the results.

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“…"Time flies in the same way that an arrow would (time them)") to an interpretation of "Time" as a solid object (e.g. "Time travels through the air in an arrow-like manner") [2]. This profound and fundamental problem has essentially reduced progress in automatic machine translation to incremental advances, strongly linked to attempts to exhaustively document not just the words, but also the phrases and sentence structures of natural language [3].…”

Section: Introductionmentioning

confidence: 99%

Towards crowdsourcing translation tasks in library cataloguing, a pilot study

Corney

Lynn

Torres

et al. 2010

4th IEEE International Conference on Digital Ecosystems and Technologies

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Although automated translation systems are increasingly impressive they are still far from perfect, and even casual use demonstrates that they can"t produce robust, error free, transcriptions of arbitrary text. However it is becoming increasingly apparent that Crowdsourcing of translation tasks is not only viable but, in many cases, provides results equal to more expensive and slower alternatives. This paper provides a brief survey of academic and commercial systems that harness collective intelligence in the translation of text, and presents the results of a pilot conducted using MTurk for the translation of non-Roman scripts of unknown providence. It concludes by proposing a workflow for integration of Crowdsourcing in to the cataloguing of foreign texts.

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Syntactic structure and ambiguity of English

Cited by 24 publications

References 5 publications

Théorie syntaxique et théorie du parsage : quelques réflexions

Théorie syntaxique et théorie du parsage : quelques réflexions

Stochastic approach to the grammatical coding of english

Towards crowdsourcing translation tasks in library cataloguing, a pilot study

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