Spanish

The goal of this study is to evaluate the potential for using large vocabulary continuous speech recognition as an engine for automatically classifying utterances according to the lan- guage being …...

This paper demonstrates the substantial empirical success of classifier combination for the word sense disambiguation task. It investigates more than 10 classifier combination methods, including second order classifier stacking, over …...

This work studies Named Entity Recog- nition (NER) for Catalan without mak- ing use of annotated resources of this language. The approach presented is based on machine learning techniques and …...

This paper presents the Swarthmore College word- sense disambiguation system which was designed for the 2004 SENSEVAL3 competition. Our system participated in five tasks: the lexical sample tasks in Basque, …...

Post-editing (PE) is still a new activity for many translators. The lack of training, clear and consistent guidelines and inter- national standards may cause difficulties in the transition from translation …...

AbstractIn this paper, we present an ontology-based methodology and architecture for the comparison, assessment, combination (and, to some extent, also contrastive evaluation) of the results of different linguistic tools. More …...

This paper presents the SemEval-2010 task on Coreference Resolution in Multi- ple Languages. The goal was to evaluate and compare automatic coreference reso- lution systems for six different languages (Catalan, …...

Recent work has shown how a parallel corpus can be leveraged to build syntac- tic parser for a target language by project- ing automatic source parse onto the target sentence …...

AbstractThis article presents the problem of diacritic restoration (or diacritization) in the context of spell-checking, with the focus on an orthographically rich language such as Spanish. We argue that despite …...

AbstractIn this paper we describe the development of a text simplification system for Spanish. Text simplification is the adaptation of a text to the special needs of certain groups of …...

Children learn various levels of linguistic structure concurrently, yet most existing mod- els of language acquisition deal with only a single level of structure, implicitly assum- ing a sequential learning …...

AbstractIn this paper, we describe 4FX, a quadrilingual (English-Spanish-German-Hungarian) parallel corpus annotated for light verb constructions. We present the annotation process, and report statistical data on the frequency of LVCs …...

AbstractIXA pipeline is a modular set of Natural Language Processing tools (or pipes) which provide easy access to NLP technology. It offers robust and efficient linguistic annotation to both researchers …...

AbstractThis paper presents three corpora with coreferential annotation of person entities for Portuguese, Galician and Spanish. They contain coreference links between several types of pronouns (including elliptical, possessive, indefinite, demonstrative, …...

AbstractIn this article we describe our method of automatically expanding an existing lexicon of words with affective valence scores. The automatic expansion process was done in English. In addition, we …...

AbstractThis paper presents a method for the normalization of historical texts using a combination of weighted finite-state transducers and language models. We have extended our previous work on the normalization …...

The paper presents a new methodology aimed at acquiring typological evidence from “gold” treebanks for different languages. In particular, it investigates whether and to what extent algorithms developed for assessing …...

AbstractRecent studies have demonstrated the effectiveness of cross-lingual language model pre-training on different NLP tasks, such as natural language inference and machine translation. In our work, we test this approach …...

AbstractIn this paper, we introduce UniSent universal sentiment lexica for 1000+ languages. Sentiment lexica are vital for sentiment analysis in absence of document-level annotations, a very common scenario for low-resource …...

AbstractPost processing is the most conventional approach for correcting errors that are caused by Optical Character Recognition(OCR) systems. Two steps are usually taken to correct OCR errors: detection and corrections. …...

Multilingual Transformer-based language models, usually pretrained on more than 100 languages, have been shown to achieve outstanding results in a wide range of cross- lingual transfer tasks. However, it remains …...

AbstractWe develop high performance multilingual Abstract Meaning Representation (AMR) systems by projecting English AMR annotations to other languages with weak supervision. We achieve this goal by bootstrapping transformer-based multilingual word …...

Understanding linguistics and morphology of resource-scarce code-mixed texts remains a key challenge in text processing. Although word embedding comes in handy to support downstream tasks for low-resource languages, there are …...

AbstractLearning fine-grained distinctions between vocabulary items is a key challenge in learning a new language. For example, the noun “wall” has different lexical manifestations in Spanish – “pared” refers to …...

AbstractMorphologically-rich polysynthetic languages present a challenge for NLP systems due to data sparsity, and a common strategy to handle this issue is to apply subword segmentation. We investigate a wide …...

AbstractStudying and mitigating gender and other biases in natural language have become important areas of research from both algorithmic and data perspectives. This paper explores the idea of reducing gender …...

AbstractThe aim of this study was to compare the morphological complexity in a corpus representing the language production of younger and older children across different languages. The language samples were …...

AbstractIn this paper, we introduce the first SemEval shared task on Structured Sentiment Analysis, for which participants are required to predict all sentiment graphs in a text, where a single …...