Лексикон

The paper describes an experimental model of syntactic structure generation starting from the limited fragment of se- mantics that deals with the quantitative values of object parameters. To present the …...

The lexicon now plays a central role in our imple- mentation of a Head-driven Phrase Structure Grammar (HPSG), given the massive relocation into the lexicon of linguistic information that was …...

This paper describes the construction of a lexicon representing abstract concepts. This lexicon is written by an object-oriented language, CTALK, and forms a dynamic network system controlled by object-oriented mechanisms. …...

A crucial test for any MT system is its power to solve lexical ambiluities. The size of the lexicon, its structural principles and the availability of extra-lin_~istic knowled~q are the …...

Natural language processing systems need large lexicons containing explicit information about lexical-semantlc relationships, selection restrictions, and verb categories. Because the labor involved in constructing such lexicons by hand is overwhelming, …...

Creating a knowledge base has always been a bottleneck in the implementation of AI systems. This is also true for Natural I,anguage Understanding (NhU) systems, particularly [or data-driven ones. While …...

We attemped to improve recognition accuracy by reduc- ing the inadequacies of the lexicon and language model. Specifically we address the following three problems: (1) the best size for the …...

We have been developing a spoken language system to recognize and understand spontaneous speech. It is difficult for such systems to achieve good coverage of the lexicon and grammar that …...

Lexical pattern matching and text extraction is an essential component of many Natural Language Processing applications. Following the language hierarchy first conceived by Chomsky, it is commonly accepted that simple …...

This paper describes a prceXype for automatically scoring College Board Advanced Placement (AP) Biology essays. I. The scoring technique used in this study was based on a previous method used …...

A lexicon is an essential component in a gener- ation system but few efforts have been made to build a rich, large-scale lexicon and make it reusable for different generation …...

A lexicon is an essential component in a gener- ation system but few efforts have been made to buiht a rich, large-scale lexicon and make it reusable for different generation …...

This paper describes a spelling correction system that functions as part of an intelligent tutor that car- ries on a natural language dialogue with its users. The process that searches …...

This paper presents a decision-tree approach to the problems of part-of- speech disambiguation and unknown word guessing as they appear in Modem Greek, a highly inflectional language. The learning procedure …...

FCIDB (Friendly Chinese Interface for DataBase management systems) can understand users' queries in the Chinese language. It works like a translator that translates Chinese queries into SQL commands. In the …...

In various Asian languages, including Chinese, there is no space between words in texts. Thus, most Chinese NLP systems must perform word-segmentation (sentence tokenization). However, successful word-segmentation depends on having …...

We built an open-source software platform in- tended to serve as a common infrastructure that can be of use in the development of new applica- tions involving the processing of …...

We present a new HMM tagger that exploits context on both sides of a word to be tagged, and evaluate it in both the unsupervised and supervised case. Along the …...

. Long and complex sentences are normally “low translatable” sentences due to high ambiguity. We describe a methodology of handling such sentences in APTrans, - a system for machine translation …...

We address a key problem in grapheme-to- phoneme conversion: the ambiguity in map- ping grapheme units to phonemes. Rather than using single letters and phonemes as units, we propose learning …...

: The aim of this study is to build natural language resources for languages with limited resources or minority languages. Manually building these resources is tedious and costly. These natural …...

AbstractFor mining intellectual property texts (patents), a broad-coverage lexicon that covers general English words together with terminology from the patent domain is indispensable. The patent domain is very diffuse as …...

AbstractIn this paper, we report on the design of a part-of-speech-tagset for Wolof and on the creation of a semi-automatically annotated gold standard. In order to achieve high-quality annotation relatively …...

In this paper we describe the data that will be used to compare the semantic struc- tures that emerge from synonymy in French and in Mandarin. We aim at studying …...

AbstractThis paper deals with the task of large vocabulary proper name recognition. In order to accomodate a wide diversity of possible name pronunciations (due to non-native name origins or speaker …...

AbstractIndia is a multilingual country where machine translation and cross lingual search are highly relevant problems. These problems require large resources- like wordnets and lexicons- of high quality and coverage. …...

AbstractThis paper describes the first phase of building a lexicon of Egyptian Cairene Arabic (ECA) ― one of the most widely understood dialects in the Arab World ― and Modern …...

AbstractThis paper introduces the general features of Senso Comune, an open knowledge base for the Italian language, focusing on the interplay of lexical and ontological knowledge, and outlining our approach …...

AbstractThis paper describes the Spanish Resource Grammar, an open-source multi-purpose broad-coverage precise grammar for Spanish. The grammar is implemented on the Linguistic Knowledge Builder (LKB) system, it is grounded in …...

AbstractThere has been much debate, both theoretical and practical, on how to link ontologies and lexicons in natural language processing (NLP) applications. In this paper, we focus on an application …...

AbstractWe investigate the creation of corpora from web-harvested data following a scalable approach that has linear query complexity. Individual web queries are posed for a lexicon that includes thousands of …...

In this paper, we describe how we created two state-of-the-art SVM classifiers, one to de- tect the sentiment of messages such as tweets and SMS (message-level task) and one to …...

Recently, work in NLP was initiated on a type of opinion inference that arises when opinions are expressed toward events which have positive or negative effects on entities (+/-effect events). …...

. Analogy-based Text Normalization : the case of unknowns words. In this paper, we describe and evaluate a system for improving the quality of noisy texts containing non-word errors. It …...

AbstractLuxembourgish, embedded in a multilingual context on the divide between Romance and Germanic cultures, remains one of Europe’s under-described languages. This is due to the fact that the written production …...

AbstractIn the last few years the amount of manuscripts digitized and made available on the Web has been constantly increasing. However, there is still a considarable lack of results concerning …...

We report an empirical investigation on type-supervised domain adaptation for joint Chinese word segmentation and POS-tagging, making use of domain- specific tag dictionaries and only un- labeled target domain data …...

AbstractIn this paper we present a tagger developed for inflectionally rich languages for which both a training corpus and a lexicon are available. We do not constrain the tagger by …...

AbstractLike most of the languages which have only recently started being investigated for the Natural Language Processing (NLP) tasks, Amazigh lacks annotated corpora and tools and still suffers from the …...

AbstractRecent work in NLP has attempted to deal with low-resource languages but still assumed a resource level that is not present for most languages, e.g., the availability of Wikipedia in …...

AbstractIn this paper we use methods for creating a large lexicon of verbal polarity shifters and apply them to German. Polarity shifters are content words that can move the polarity …...

The sentiment polarity of a phrase does not only depend on the polarities of its words, but also on how these are affected by their context. Negation words (e.g. not, …...

AbstractSemantic parsers critically rely on accurate and high-coverage lexicons. However, traditional semantic parsers usually utilize annotated logical forms to learn the lexicon, which often suffer from the lexicon coverage problem. …...

In this paper, we present two resources that were created as part of the Multi Arabic Dialect Applications and Resources (MADAR) project. The first is a large parallel corpus of …...

A major issue in machine translation (MT) applications is the recognition and translation of named entities. This is especially true for Chinese and Japanese, whose scripts present linguistic and algorithmic …...

AbstractIn this paper, we present a two-level morphological analyzer for Turkish. The morphological analyzer consists of five main components: finite state transducer, rule engine for suffixation, lexicon, trie data structure, …...

AbstractLexicon information and pre-trained models, such as BERT, have been combined to explore Chinese sequence labeling tasks due to their respective strengths. However, existing methods solely fuse lexicon features via …...

ABSINTH1 provides a novel unsupervised graph-based approach to word sense induction. This work combines small world co¨occurrence networks with a graph propagation algorithm to induce per-word sense assignment vectors over …...

AbstractThis paper presents a sentence generation pipeline as implemented on the online job board Stepstone. The goal is to automatically create a set of sentences for the candidate profile and …...