نتایج جستجو برای: multi word lexical units

تعداد نتایج: 741999  

2003
Pradipta Ranjan Ray Harish V Sudeshna Sarkar Anupam Basu

We present an algorithm for local word grouping to extricate fixed word order dependencies in Hindi sentences. Local word grouping is achieved by defining regular expressions for the word groups. Ambiguities occurring during word grouping are also resolved. Hindi being a free order language, fixed order word group extraction is essential for decreasing the load on the free word order parser. Th...

2015
Branimir Boguraev Esmé Manandise Benjamin Segal

We argue that many multi-word domain terms are not (and should not be regarded as) strictly atomic, especially from a parser’s point of view. We introduce the notion of Lexical Kernel Units (LKUs), and discuss some of their essential properties. LKUs are building blocks for lexicalizations of domain concepts, and as such, can be used for compositional derivation of an open-ended set of domain t...

2008
Rogelio Nazar Leo Wanner Jorge Vivaldi

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 an initial bilingual lexicon. It is suitable for specialized domains where bilingual lexicon entries are scarce. The input for the process is a corpus in the source language to use as exampl...

2010
Chao-Hong Liu Chung-Hsien Wu

In this study, considering the effect of phrase grouping in spontaneous speech, prosodic words, instead of lexical words, are adopted as the units for error correction of speech recognition results. The prosodic words and the corresponding mis-recognized word fragments are obtained from a speech database to construct a mis-recognized word fragment table for the extracted prosodic words. For eac...

2016
Jari Björne Tapio Salakoski

The SemEval 2016 DiMSUM Shared Task concerns the detection of minimal semantic units from text and prediction of their coarse lexical categories known as supersenses. Our approach is to define this task as a binary classification problem approachable by straightforward machine learning methods. We start by detecting semantic units by matching text spans against several large dictionaries, inclu...

Journal: : 2022

In recent years, the relation between lexicon and syntax as distinct domains has been questioned repeatedly. For all languages under discussion word-like examples that do not fit category word have found, so boundary lexical unit syntactic becomes leaky. Furthermore, relative borderlines vary from language to language. One of problematic are phrasemes (phraseological units). This article concen...

1999
Mikel Peñagarikano Germán Bordel Amparo Varona Karmele López de Ipiña

If the objective of a Continuous Automatic Speech Understanding system is not a speech-to-text translation, words are not strictly needed, and then the use of alternative lexical units (LUs) will bring us a new degree of freedom to improve the system performance. Consequently, we experimentally explore some methods to automatically extract a set of LUs from a Spanish training corpus and verify ...

Journal: :IJDMMM 2013
Violeta Seretan Eric Wehrli

Concordancers are tools that display the contexts of a given word in a corpus. Also called key word in context (KWIC), these tools are nowadays indispensable in the work of lexicographers, linguists, and translators. We present an enhanced type of concordancer that integrates syntactic information on sentence structure as well as statistical information on word cooccurrence in order to detect a...

Journal: : 2022

The article discusses a linguistic analysis of one the main fragments meteorological vocabulary modern Russian language – names atmospheric precipitation. material for study was units lexical-semantic group "precipitation", previously identified in Hydrometeorological Encyclopedia (2009). Three groups nouns were distinguished: common word precipitation itself and its synonym hydrometeors, liqui...

2007
Yllias Chali Shafiq R. Joty

This paper describes a query-focused multi-document summarizer based on two distinct but complementary concepts: a) how much the sentence is related to the user query and b) how much the sentence is salient to the overall concept. Keeping these in focus we consider 6 important features: (1)Cosine Similarity (2)Lexical chain (3)BE overlaps (4)Question Focus overlap (5) Previous Sentence overlaps...

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