English

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 …...

We present an efI]cient, broad-coverage, principle-based parser for English. The parser has been implemented in C++ and runs on SUN Sparcstations with X-windows. It con- rains a lexicon with over …...

DTG are designed to share some of the advantages of TAG while overcoming some of its limitations. DTG involve two com- position operations called subsertion and sister-adjunction. The most distinctive …...

Most traditional approaches to anaphora resolution rely heavily on linguistic and domain knowledge. One of the disadvantages of developing a knowledge-based system, however, is that it is a very labour-intensive …...

and complex meanings; whereas Radford's (1990) maturational theory makes no such predictions about Japanese. In replicating O'Grady's (1993) Korean study, I collected both production and comprehension data for Japanese. The …...

This paper considers statistical parsing of Czech, which differs radically from English in at least two respects: (1) it is a highly inflected language, and (2) it has relatively free …...

A large number of simple sentences are needed to construct practical Case frames automatically. Until now, most studies have assumed that there are already extensive training data (especially here simple …...

In this paper Brill's rule-based PoS tagger is tested and adapted for Hungarian. It is shown that the present system does not obtain as high accuracy for Hungarian as it …...

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 paper investigates stacking and voting methods for combining strong classifiers like boosting, SVM, and TBL, on the named-entity recognition task. We demonstrate several ef- fective approaches, culminating in a …...

We introduce a MetaGrammar, which al- lows us to automatically generate, from a single and compact MetaGrammar hier- archy, parallel Lexical Functional Gram- mars (LFG) and Tree-Adjoining Gram- mars (TAG) …...

We present a linguistically-motivated algorithm for recon- structing nonlocal dependency in broad-coverage context-free parse trees derived from treebanks. We use an algorithm based on loglinear classifiers to augment and reshape …...

In this paper I outline Type-inheritance Combi- natory Categorial Grammar (TCCG), an imple- mented feature structure based CCG fragment of English. TCCG combines the fully lexical nature of CCG with …...

We present an effective training al- gorithm for linearly-scored dependency parsers that implements online large- margin multi-class training (Crammer and Singer, 2003; Crammer et al., 2003) on top of efficient …...

We present a novel mechanism for im- proving reference resolution by using the output of a relation tagger to rescore coreference hypotheses. Experiments show that this new framework can im- …...

AbstractThis paper presents our study of exploiting morpho-syntactic information for phrase-based statistical machine translation (SMT). For morphological transformation, we use hand-crafted transformational rules. For syntactic transformation, we propose a transformational …...

Grapheme-to-phoneme conversion (g2p) is a core component of any text-to-speech sys- tem. We show that adding simple syllab- ification and stress assignment constraints, namely ‘one nucleus per syllable’ and ‘one …...

For centuries, the deep connection between languages has brought about major discover- ies about human communication. In this pa- per we investigate how this powerful source of information can be …...

The extent to which the organization of nat- ural language grammars reflects a drive to minimize dependency length remains little explored. We present the first algorithm polynomial-time in sentence length …...

Incremental parsing techniques such as shift-reduce have gained popularity thanks to their efficiency, but there remains a major problem: the search is greedy and only explores a tiny fraction of …...

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, …...

This paper presents SUCRE, a new soft- ware tool for coreference resolution and its feature engineering. It is able to sep- arately do noun, pronoun and full coref- erence resolution. …...

We present a novel scheme to apply fac- tored phrase-based SMT to a language pair with very disparate morphological struc- tures. Our approach relies on syntac- tic analysis on the …...

Languages with rich inflectional morphology pose a difficult challenge for statistical ma- chine translation. To address the problem of morphologically inconsistent output, we add unification-based constraints to the target-side of …...

Most current dependency parsers presuppose that input words have been morphologically disambiguated using a part-of-speech tagger before parsing begins. We present a transition- based system for joint part-of-speech tagging and …...

AbstractThis paper aims at assessing the automatic labeling of an undocumented, unknown, unwritten and under-resourced language (Mo Piu) of the North Vietnam, by an expert phonetician. In the previous stage …...

We propose a technique to generate non- projective word orders in an efficient statisti- cal linearization system. Our approach pre- dicts liftings of edges in an unordered syntac- tic tree …...

Microblogging services such as Twitter have become popular media for real-time user- created news reporting. Such communica- tion often happens in parallel in different lan- guages, e.g., microblog posts related …...

AbstractWord alignment is an important step for machine translation systems. Although the alignment performance between grammatically similar languages is reported to be very high in many studies, the case is …...

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 …...

We propose a minimally supervised method for multilingual paraphrase extraction from definition sentences on the Web. Hashimoto et al. (2011) extracted paraphrases from Japanese definition sentences on the Web, as- …...

We consider the problem of training a sta- tistical parser in the situation when there are multiple treebanks available, and these tree- banks are annotated according to different lin- guistic …...

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 …...

We investigate different ways of learning structured perceptron models for coref- erence resolution when using non-local features and beam search. Our experi- mental results indicate that standard tech- niques such …...

Morfessor is a family of methods for learning morphological segmentations of words based on unannotated data. We introduce a new variant of Morfessor, FlatCat, that applies a hid- den Markov …...

AbstractAbstract Meaning Representations (AMRs) are rooted, directional and labeled graphs that abstract away from morpho-syntactic idiosyncrasies such as word category (verbs and nouns), word order, and function words (determiners, some …...

AbstractSublanguages are varieties of language that form “subsets” of the general language, typically exhibiting particular types of lexical, semantic, and other restrictions and deviance. SubCAT, the Sublanguage Corpus Analysis Toolkit, …...

AbstractThis paper outlines the recent development on multilingual medical data and multilingual speech recognition system for network-based speech-to-speech translation in the medical domain. The overall speech-to-speech translation (S2ST) system was …...

AbstractMost state-of-the-art systems today produce morphological analysis based only on orthographic patterns. In contrast, we propose a model for unsupervised morphological analysis that integrates orthographic and semantic views of words. …...

As part of the SemEval-2015 shared task on Broad-Coverage Semantic Dependency Pars- ing, we evaluate the performace of our last year’s system (TurboSemanticParser) on mul- tiple languages and out-of-domain data. …...

It is well known that prosodic information is used by infants in early language acquisition. In particular, prosodic boundaries have been shown to help infants with sentence and word- level …...

When a large-scale incident or disaster oc- curs, there is often a great demand for rapidly developing a system to extract detailed and new information from low- resource languages (LLs). …...

AbstractWe propose a dependency parsing pipeline, in which the parsing of long-distance projections and localized dependencies are explicitly decomposed at the input level. A chosen baseline dependency parsing model performs …...

AbstractIn this paper we describe our work in building an online tool for manually annotating texts in any spoken language with SignWriting in any sign language. The existence of such …...

AbstractIn this paper, we focus on the verb-particle (V-Prt) split construction in English and German and its difficulty for parsing and Machine Translation (MT). For German, we use an existing …...

Entity linking (EL) is the task of dis- ambiguating mentions in text by associ- ating them with entries in a predefined database of mentions (persons, organiza- tions, etc). Most previous …...

Many downstream NLP tasks can benefit from Open Information Extraction (Open IE) as a semantic representation. While Open IE sys- tems are available for English, many other languages lack such …...

We introduce recurrent neural network gram- mars, probabilistic models of sentences with explicit phrase structure. We explain efficient inference procedures that allow application to both parsing and language modeling. Experi- …...

AbstractIn an increasingly globalized world, there is a rising demand for speech recognition systems. Systems for languages like English, German or French do achieve a decent performance, but there exists …...

Linguistic research on multilingual societies has indicated that there is usually a preferred language for expression of emotion and sen- timent (Dewaele, 2010). Paucity of data has limited such studies …...

Character n-gram F-score (CHRF) shown to correlate very well with hu-is man relative rankings of different machine translation outputs, especially for morpho- logically rich target languages. However, its relation with …...

AbstractConventional graph-based dependency parsers guarantee a tree structure both during training and inference. Instead, we formalize dependency parsing as the problem of independently selecting the head of each word in …...

AbstractThis paper describes the system used in SemEval-2017 Task 4 (Subtask A): Message Polarity Classification for both English and Arabic languages. Our proposed system is an ensemble of two layers, …...

In this paper, we present the evaluation of several bilingual dictionary building methods applied to {Komi-Permyak, Komi-Zyrian, Hill Mari, Meadow Mari, Northern Saami, Udmurt}–{English, Finnish, Hungarian, Russian} language pairs. Since …...

This paper describes an automatic spelling corrector for Amharic, the working language of the Federal Government of Ethiopia. We used a corpus-driven approach with the noisy channel for spelling correction. …...

L1 Burkinabe speakers generally become native- level speakers of French by adulthood, as French is the official second language of their country and is used in their daily life, but …...

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 …...

AbstractRecurrent neural network grammars generate sentences using phrase-structure syntax and perform very well on both parsing and language modeling. To explore whether generative dependency models are similarly effective, we propose …...

AbstractCross-lingual transfer is an effective way to build syntactic analysis tools in low-resource languages. However, transfer is difficult when transferring to typologically distant languages, especially when neither annotated target data …...

AbstractWe show that constituency parsing benefits from unsupervised pre-training across a variety of languages and a range of pre-training conditions. We first compare the benefits of no pre-training, fastText, ELMo, …...

AbstractWe present sentence aligned parallel corpora across 10 Indian Languages - Hindi, Telugu, Tamil, Malayalam, Gujarati, Urdu, Bengali, Oriya, Marathi, Punjabi, and English - many of which are categorized as …...

AbstractThis paper describes our participation in SemEval-2020 Task 12: Multilingual Offensive Language Detection. We jointly-trained a single model by fine-tuning Multilingual BERT to tackle the task across all the proposed …...

AbstractThis paper introduces the first corpus for Automatic Post-Editing of English and a low-resource language, Brazilian Portuguese. The source English texts were extracted from the WebNLG corpus and automatically translated …...

AbstractEarly intervention for suicide risks with social media data has increasingly received great attention. Using a suicide dictionary created by mental health experts is one of the effective ways to …...

AbstractLanguages change over time and, thanks to the abundance of digital corpora, their evolutionary analysis using computational techniques has recently gained much research attention. In this paper, we focus on …...

AbstractThe success of neural networks on a diverse set of NLP tasks has led researchers to question how much these networks actually “know” about natural language. Probes are a natural …...

AbstractThis paper describes the KS@LTH system for SemEval-2020 Task 12 OffensEval2: Multilingual Offensive Language Identification in Social Media. We compare mono- and multilingual models based on fine-tuning pre-trained transformer models …...

AbstractRecent work has shown that neural rerankers can improve results for dependency parsing over the top k trees produced by a base parser. However, all neural rerankers so far have …...

AbstractMany data sets (e.g., reviews, forums, news, etc.) exist parallelly in multiple languages. They all cover the same content, but the linguistic differences make it impossible to use traditional, bag-of-word-based …...

AbstractThe widespread presence of offensive language on social media motivated the development of systems capable of recognizing such content automatically. Apart from a few notable exceptions, most research on automatic …...

AbstractThis paper presents multidimensional Social Opinion Mining on user-generated content gathered from newswires and social networking services in three different languages: English —a high-resourced language, Maltese —a low-resourced language, and …...

AbstractWe present a neural-network-driven model for annotating frustration intensity in customer support tweets, based on representing tweet texts using a bag-of-words encoding after processing with subword segmentation together with non-lexical …...

. This paper presents an unsupervised approach for natural language generation within the framework of question-answering systems. This approach addresses the issue of generating answers that are usually too short …...

AbstractThis paper presents the GX system for the Multilingual and Cross-lingual Word-in-Context Disambiguation (MCL-WiC) task. The purpose of the MCL-WiC task is to tackle the challenge of capturing the polysemous …...

AbstractWe compare two orthogonal semi-supervised learning techniques, namely tri-training and pretrained word embeddings, in the task of dependency parsing. We explore language-specific FastText and ELMo embeddings and multilingual BERT embeddings. …...

The role of pedagogical code-switching (henceforth CS) has been an arising topic of ininquiry across the globe; hence, the global surge bilingualism significantly opened an opportunity to use CS as …...

AbstractRelations between words are governed by hierarchical structure rather than linear ordering. Sequence-to-sequence (seq2seq) models, despite their success in downstream NLP applications, often fail to generalize in a hierarchy-sensitive manner …...

AbstractEvidence from psycholinguistic studies suggests that the human brain builds a hierarchical syntactic structure during language comprehension. However, it is still unknown whether the neural basis of such structures is …...

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 …...

AbstractKeyword extraction is the task of retrieving words that are essential to the content of a given document. Researchers proposed various approaches to tackle this problem. At the top-most level, …...

AbstractTheoretical work in morphological typology offers the possibility of measuring morphological diversity on a continuous scale. However, literature in Natural Language Processing (NLP) typically labels a whole language with a …...

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 …...

AbstractiSarcasmEval is the first shared task to target intended sarcasm detection: the data for this task was provided and labelled by the authors of the texts themselves. Such an approach …...

AbstractThe WeCanTalk (WCT) Corpus is a new multi-language, multi-modal resource for speaker recognition. The corpus contains Cantonese, Mandarin and English telephony and video speech data from over 200 multilingual speakers …...

AbstractLarge pretrained language models (LMs) have become the central building block of many NLP applications. Training these models requires ever more computational resources and most of the existing models are …...

AbstractThis paper proposes a method to develop a machine translation (MT) system from Myanmar Sign Language (MSL) to Myanmar Written Language (MWL) and vice versa for the deaf community. Translation …...