Articles

Preparation, recording, segmentation and pitch labelling of Slovenian diphone inventories are described. A special user friendly intert'ace package was developed in order to facilitate these operations. As acquisition of a labelled diphone inventory or adaptation of a speech synthesis system to synthesise further voices is manually intensive, an automatic procedure …...

We. present a study of the mappings from semantic content to syntactic ex- pression with the aim of isolating the precise locus and role of pragmatic infor- mation in the generation process, l~om a corpus of English, French, and Por- tuguese instructions for consumer prod- ucts, we demonstrate the range …...

This paper describes results achieved in a project which addresses the issue of how the gap between unification-based grammars as a scientific concept and real world applications can be narrowed down 1. Application-oriented grammar development has to take into ac- count the following parameters: Efficiency: The project chose a so …...

The experiments described here have been done in connection with the LS-GRAM project, which is concerned with the develop- ment of large scale grammars and thus fore- seen the coverage of "real life texts". But in order to deal with such texts, it is also nec- essary to process linguistic …...

Pronunciation-by-analogy (PbA) is an emer- ging technique for text-phoneme conversion based on a psychological model of read- ing aloud. This paper explores the impact of certain basic implementational choices on the performance of various PbA mod- els. These have been tested on their abil- ity to pronounce sets of short …...

We describe two "semantically-oriented" dependency-structure formalisms, t J-forms and S-forms. U-forms have heen previously used in nmchine translation as interlingual representations, hut without being provided with a formal interpretation. S-forms, which we introduce in this paper, are a scoped vet sion of U-fnrms, and we define a composi- tional semantics …...

We describe an approach to interpreting LFG f-structures (Kaplan & Bresnan, 1982) truth-conditionally as underspeci- fled quasi-logical forms. F-structures are either interpreted indirectly in terms of a homomorphic embedding into Quasi Logical Form (QLF) (Alshawi, 1992; Alshawi & Crouch, 1992; Cooper et al., 1994a) representations or directly in terms of …...

What al+c the benefits of ttsing Natural [~anguagc (;cneratio,t in an industrial apl+lication? We have attempt t<) answer part (}f this qttcsti{}n with at descripti(}n of an assessment {}f three techniques for producing multiscntcntial text: senti- atutomatic fill-in-lhc-blank interfacing, automalic linguistic-and-tcmphltes hybrid generation, and hunlall writing. This asscssIllol]l used a …...

This paper describes a system of representation of nouns denoting portions, segments and relative quantities of entities, in order to account for this case of part-whole relationship. The semantics of both constructions denoting portions aad nouns used to build them arc discussed and eventually formalised in a unification-based formalism (LKB-IA~L) …...

Probabilistic models have been widely used for natural language processing. Part-of-speech tagging, which assigns the most likely tag to each word in a given sentence, is one. of tire problems which can be solved by statisticM ap- proach. Many researchers haw~ tried to solve the problem by hidden Marker model …...

This paper snggests a method to align Korean-English parallel corpus. '1?he structural dissimilarity between Korean and Indo-European languages requires more flexible measures to evaluate the alignment candidates between the bilin- gual units than is used to handle the pairs of Indo-European languages. The flexible measure is intended to capture the …...

Various strategies are proposed to identify and classify three types of proper nouns in Chinese texts. Clues from character, sentence and paragraph levels are employed to resolve Chinese personal names. Character, Syllable and Frequency Conditions are presented to treat transliterated personal names, To deal with organization names, keywords, prefix, word …...

I'rel)ositional l'hrase is the key issue in structuraJ ambiguity, l{ecently, re- searches in corpora provide the lexical cue of pre[)ositions with other words and the information could be used to l)artly resolve ambiguity resulted from prepositionM phrases. Two possible a~- t.achments are considered in the lit, era- ture: either I]OUll …...

In this paper, we propose an algorithm for aligning words with their translation in a bilingual corpus. Conventional algorithms are based on word-by-word models which require bilingual data with hundreds of thousand sentences for training. By using a word-based approach, less frequent words or words with diverse translations generally do …...

A Chinese word Seglnentation algorithm based on forward icnaxinnlln matching and word binding force is t)roposed in this pai)er. This algorithm Iilays a key role in post-processing the outtmt of a character or st/eech recognizer in deter- mining the proper word sequence c(/rre- st)onding to an input line of cha.raeter …...

HNC Software, Inc. has developed a system called DOCUVERSE for visualizing the information content of large textual corpora. The system is built around two separate neural network methodologies: context vectors and self organizing maps. Context vectors (CVs) are high dimensional information representations that encode the semantic content of the textual …...

Excellent results have been reported for Data- Oriented Parsing (DOP) of natural language texts (Bod, 1993c). Unfortunately, existing algorithms are both computationally intensive and difficult to implement. Previous algorithms are expen- sive due to two factors: the exponential number of rules that must be generated and the use of a …...

This paper presents a statistical model which trains from a corpus annotated with Part-Of- Speech tags and assigns them to previously unseen text with state-of-the-art accuracy(96.6%). The model can be classified as a Maximum Entropy model and simultaneously uses many contextual "features" to predict the POS tag. Furthermore, this paper …...

Best-first parsing methods for natural language try to parse efficiently by considering the most likely constituents first. Some figure of merit is needed by which to compare the likelihood of con- stituents, and the choice of this figure has a sub- stantial impact on the efficiency of the parser. While …...

This paper addresses the issue of "algorithm vs. representation" for case-based learning of lin- guistic knowledge. We first present empirical evidence that the success of case-based learning methods for natural language processing tasks de- pends to a large degree on the feature set used to describe the training instances. Next, …...