Statistical Methods

In natural speech, durations of phonetic segments are strongly de- pendent on contextual factors. Quantitative descriptions of these contextual effects have appfications in text-to-speech synthesis and in automatic speech recognition. …...

We describe a prototype system which induces a categorial grammar from a simple text corpus of children's reading books. Unlike previous attempts at grammar induction, (I) there are no rules …...

This paper presents an original method and its imple- mentation to extract terminology from corpora by com- bining linguistic filters and statistical methods. Start- ing from a linguistic study of …...

Collocations are notoriously difficult for non-native speakers to translate, primarily because they are opaque and can not be translated on a word by word basis. We describe a program named …...

Large-scale natural language generation re- quires the integration of vast mounts of knowledge: lexical, grammatical, and concep- tual. A robust generator must be able to operate well even when pieces …...

Korean as an agglutinative language shows its proper types of difficulties in morphological disambiguation, since a large number of its ambiguities comes from the stemming while most of ambiguities in …...

We present a connectionist architecture and demon- strate that it can learn syntactic parsing from a cor- pus of parsed text. The architecture can represent syntactic constituents, and can learn …...

There is no blank to mark word boundaries in Chinese text. As a result, identifying words is difficult, because of segmentation ambiguities and occurrences of unknown words. Conventionally unknown words …...

This paper describes the technology and an ex- periment of subcategorization acquisition for Chinese verbs. The SCF hypotheses are gener- ated by means of linguistic heuristic information and filtered via …...

For the translation of text and speech, statistical methods on one side and interlingua based methods on the other have been used successfully. However, the former requires programming grammars for …...

. This article presents a method of extracting bilingual lexica composed of single-word terms (SWTs) and multi-word terms (MWTs) from comparable corpora of a technical domain. First, this method ex- …...

Collocation extraction systems based on pure statistical methods suffer from two major problems. The first problem is their relatively low precision and recall rates. The second problem is their difficulty …...

This paper focuses on the use of advanced techniques of text analysis as support for collocation extraction. A hybrid system is presented that combines statistical meth- ods and multilingual parsing …...

We apply the Stat-XFER statistical transfer machine translation framework to the task of translating from French and German into En- glish. We introduce statistical methods within our framework that allow …...

. This paper presents a language independent methodology for automatically extracting bilingual lexicon entries from the web without the need of resources like parallel or comparable corpora, POS tagging, nor …...

This paper presents a novel approach to au- tomatic captioning of toponym-referenced im- ages. The automatic captioning procedure works by summarizing multiple web-documents that contain information related to an image’s …...

AbstractThis paper describes the development of a hybrid tool for a semi-automated process for validation of treebank annotation at various levels. The tool is developed for error detection at the …...

We employ statistical methods to analyze, generate, and translate rhythmic poetry. We first apply unsupervised learning to reveal word-stress patterns in a corpus of raw poetry. We then use these …...

AbstractConventional methods for disambiguation problems have been using statistical methods with co-occurrence of words in their contexts. It seems that human-beings assign appropriate word senses to the given ambiguous word …...

AbstractIn this paper we bring to light a novel intersection between corpus linguistics and behavioral data that can be employed as an evaluation metric for resources for low-density languages, drawing …...

AbstractWe describe a new method for extracting Negative Polarity Item candidates (NPI candidates) from dependency-parsed German text corpora. Semi-automatic extraction of NPIs is a challenging task since NPIs do not …...

. Our study applies statistical methods to French and Italian corpora to examine the phenomenon of multi-word term reduction in specialty languages. There are two kinds of re- duction: anaphoric …...

AbstractThe present paper gives an account of the approach we have led so far to build a database of frozen units. Although it has long been absent from linguistic studies …...

Statistical-based methods are the preva- lent approaches for implementing machine translation systems today. However the resulted translations are usually flawed to some degree. We assume that a statisti- cal baseline …...

We evaluate measures of contextual fitness on the task of detecting real-word spelling errors. For that purpose, we extract nat- urally occurring errors and their contexts from the Wikipedia revision …...

Semantic Annotation in Specific Domains with rich Ontologies Technical documentations are generally difficult to explore and maintain. Powerful tools can help, but they require that the documents have been semantically …...

The manual identification of terminology from specialized corpora is a complex task that needs to be addressed by flexible tools, in order to facilitate the construction of multilingual terminologies which …...

AbstractWe approach the recognition of textual entailment using logical semantic representations and a theorem prover. In this setup, lexical divergences that preserve semantic entailment between the source and target texts …...

. This survey takes place in the general context of information extraction and presents more particularly the successive approaches to supervised event extraction from texts. The first rule-based systems and …...

AbstractUnsupervised constituency parsing aims to learn a constituency parser from a training corpus without parse tree annotations. While many methods have been proposed to tackle the problem, including statistical and …...

AbstractAimed at generating a seed lexicon for use in downstream natural language tasks and unsupervised methods for bilingual lexicon induction have received much attention in the academic literature recently. While …...

AbstractTerm weighting schemes are widely used in Natural Language Processing and Information Retrieval. In particular, term weighting is the basis for keyword extraction. However, there are relatively few evaluation studies …...

AbstractThis position paper proposes a conceptual framework for the design of Natural Language Generation (NLG) systems that follow efficient and effective production strategies in order to achieve complex communicative goals. …...