Acquiring a Lexicon from Unsegmented SpeechWe present work-in-progress on the machine acquisition of a lexicon from sentences that are each an unsegmented phone sequence paired with a primitive representation of meaning. A simple exploratory…Carl de Marcken·May 8, 1995SaveLearn
Robust Parsing of Spoken Dialogue Using Contextual Knowledge and Recognition ProbabilitiesIn this paper we describe the linguistic processor of a spoken dialogue system. The parser receives a word graph from the recognition module as its input. Its task is to find the best path through…Gerhard Hanrieder, Guenther Goerz·May 8, 1995SaveLearn
A Pattern Matching method for finding Noun and Proper Noun Translations from Noisy Parallel CorporaWe present a pattern matching method for compiling a bilingual lexicon of nouns and proper nouns from unaligned, noisy parallel texts of Asian/Indo-European language pairs. Tagging information of one…Pascale Fung·May 6, 1995SaveLearn
Efficient Analysis of Complex Diagrams using Constraint-Based ParsingThis paper describes substantial advances in the analysis (parsing) of diagrams using constraint grammars. The addition of set types to the grammar and spatial indexing of the data make it possible…Robert P. Futrelle, Nikos Nikolakis·May 5, 1995SaveLearn
Compositionality for Presuppositions over TableauxTableaux originate as a decision method for a logical language. They can also be extended to obtain a structure that spells out all the information in a set of sentences in terms of truth value…Pablo Gervas·May 5, 1995SaveLearn
Utilizing Statistical Dialogue Act Processing in VerbmobilIn this paper, we present a statistical approach for dialogue act processing in the dialogue component of the speech-to-speech translation system . Statistics in dialogue processing is used to…Norbert Reithinger, Elisabeth Maier·May 5, 1995SaveLearn
A Symbolic and Surgical Acquisition of Terms through VariationTerminological acquisition is an important issue in learning for NLP due to the constant terminological renewal through technological changes. Terms play a key role in several NLP-activities such as…Christian Jacquemin·May 4, 1995SaveLearn
Evaluation of Semantic ClustersSemantic clusters of a domain form an important feature that can be useful for performing syntactic and semantic disambiguation. Several attempts have been made to extract the semantic clusters of a…Rajeev Agarwal·May 4, 1995SaveLearn
Tagset Reduction Without Information LossA technique for reducing a tagset used for n-gram part-of-speech disambiguation is introduced and evaluated in an experiment. The technique ensures that all information that is provided by the…Thorsten Brants·May 3, 1995SaveLearn
Compilation of HPSG to TAGWe present an implemented compilation algorithm that translates HPSG into lexicalized feature-based TAG, relating concepts of the two theories. While HPSG has a more elaborated principle-based theory…Robert Kasper, Bernd Kiefer, Klaus Netter et al.·May 3, 1995SaveLearn
Conciseness through Aggregation in Text GenerationAggregating different pieces of similar information is necessary to generate concise and easy to understand reports in technical domains. This paper presents a general algorithm that combines similar…James Shaw·May 3, 1995SaveLearn
Parsing a Flexible Word Order LanguageA logic formalism is presented which increases the expressive power of the ID/LP format of GPSG by enlarging the inventory of ordering relations and extending the domain of their application to…Vladimir Pericliev, Alexander Grigorov·May 3, 1995SaveLearn
Treating Coordination with Datalog GrammarsIn previous work we studied a new type of DCGs, Datalog grammars, which are inspired on database theory. Their efficiency was shown to be better than that of their DCG counterparts under…Veronica Dahl, Paul Tarau, Lidia Moreno et al.·May 3, 1995SaveLearn
Learning Syntactic Rules and Tags with Genetic Algorithms for Information Retrieval and Filtering: An Empirical Basis for Grammatical RulesThe grammars of natural languages may be learned by using genetic algorithms that reproduce and mutate grammatical rules and part-of-speech tags, improving the quality of later generations of…Robert M. Losee·May 2, 1995SaveLearn
DATR Theories and DATR ModelsEvans and Gazdar introduced DATR as a simple, non-monotonic language for representing natural language lexicons. Although a number of implementations of DATR exist, the full language has until now…Bill Keller·May 2, 1995SaveLearn
Compiling HPSG type constraints into definite clause programsWe present a new approach to HPSG processing: compiling HPSG grammars expressed as type constraints into definite clause programs. This provides a clear and computationally useful correspondence…Thilo Goetz, Walt Detmar Meurers·May 2, 1995SaveLearn
New Techniques for Context ModelingWe introduce three new techniques for statistical language models: extension modeling, nonmonotonic contexts, and the divergence heuristic. Together these techniques result in language models that…Eric Sven Ristad, Robert G. Thomas·May 1, 1995SaveLearn
Response Generation in Collaborative NegotiationIn collaborative planning activities, since the agents are autonomous and heterogeneous, it is inevitable that conflicts arise in their beliefs during the planning process. In cases where such…Jennifer Chu-Carroll, Sandra Carberry·May 1, 1995SaveLearn
Bayesian Grammar Induction for Language ModelingWe describe a corpus-based induction algorithm for probabilistic context-free grammars. The algorithm employs a greedy heuristic search within a Bayesian framework, and a post-pass using the…Stanley F. Chen·May 1, 1995SaveLearn
The Replace OperatorThis paper introduces to the calculus of regular expressions a replace operator, ->, and defines a set of replacement expressions that concisely encode several alternate variations of the operation.…Lauri Karttunen, Rank Xerox Research Centre·Apr 29, 1995SaveLearn
Error-tolerant Finite State Recognition with Applications to Morphological Analysis and Spelling CorrectionError-tolerant recognition enables the recognition of strings that deviate mildly from any string in the regular set recognized by the underlying finite state recognizer. Such recognition has…Kemal Oflazer·Apr 29, 1995SaveLearn
Statistical Decision-Tree Models for ParsingSyntactic natural language parsers have shown themselves to be inadequate for processing highly-ambiguous large-vocabulary text, as is evidenced by their poor performance on domains like the Wall…David M. Magerman·Apr 29, 1995SaveLearn
Quantifiers, Anaphora, and IntensionalityThe relationship between Lexical-Functional Grammar (LFG) functional structures (f-structures) for sentences and their semantic interpretations can be expressed directly in a fragment of linear…Mary Dalrymple, John Lamping, Fernando Pereira et al.·Apr 28, 1995SaveLearn
Corpus Statistics Meet the Noun Compound: Some Empirical ResultsA variety of statistical methods for noun compound analysis are implemented and compared. The results support two main conclusions. First, the use of conceptual association not only enables a broad…Mark Lauer·Apr 28, 1995SaveLearn
An Efficient Generation Algorithm for Lexicalist MTThe lexicalist approach to Machine Translation offers significant advantages in the development of linguistic descriptions. However, the Shake-and-Bake generation algorithm of (Whitelock, COLING-92)…Victor Poznanski, John L. Beaven, Pete Whitelock·Apr 28, 1995SaveLearn