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With the rapid development of China's economy, "Chinese Fever" has been set off in the world and more foreigners begin to learn Chinese. Writing is an important part of Chinese learning, and the grammar is the basis of writing. In the process of writing and communicating with each other using Chinese, learners of Chine... | 0 |
Transformer-based machine learning models are an integral part of many recent improvements in Natural Language Processing (NLP). With their rise spearheaded by Vaswani et al. (2017) , the pre-training/fine-tuning paradigm has gradually replaced previous approaches based on architecture engineering, with transformer mod... | 0 |
Accurate mention detection (MD) is a vital prerequisite for a variety of Natural Language Processing tasks, in particular, for Relation Extraction (RE) and Coreference Resolution (CR). If a toolkit cannot extract mentions reliably, it will obviously be unable to assign them to relations or entities.Many studies on RE a... | 0 |
As the underlying resource of semantic analysis, the most important descriptions in a semantic lexicon are the relationships between verbs and nouns, which usually comes down to the closed semantic constraint of each argument of any verb. Once the structure of the semantic lexicon is determined, the closed semantic con... | 0 |
The advent of social media has brought along a novel way of communication where meaning is composed by combining short text messages and visual enhancements, the so-called emojis. This visual language is as of now a de-facto standard for online communication, available not only in Twitter, but also in other large onlin... | 0 |
Implicit discourse relations abound in text and readers easily recover the sense of such relations during semantic interpretation. But automatic sense prediction for implicit relations is an outstanding challenge in discourse processing.Discourse relations, such as causal and contrast relations, are often marked by exp... | 0 |
One central task in the lexicographic analysis of a language is to identify different word senses, i. e. different uses of a given word or expression. 1 In corpus-based lexicography, this is achieved by inspecting many occurrences of the word of interest in their linguistic context to determine their contextual meaning... | 0 |
Question asking is an important component of efficient learning. However, instructors are often overwhelmed with students' questions and are therefore unable to provide timely answers (Feng et al., 2006) . Information seeking is also rendered difficult by the sheer amount of learning material available, especially onli... | 0 |
Non-projective, graph-based dependency parsers are widespread in the NLP literature. (McDonald et al., 2005; Dozat and Manning, 2017; Qi et al., 2020) . However, despite the prevalence of K-best dependency parsing for other parsing formalismsoften in the context of re-ranking (Collins and Koo, 2005; Sangati et al., 200... | 0 |
Prosody plays a key role in the word arrangement in Sanskrit Poetry. The word arrangement in a verse should result in a sequence of syllables which adhere to one of the prescribed meters in Sanskrit Prosody (Scharf et al., 2015) . As a result, the configurational information of the words in a verse is not aligned with ... | 0 |
Semantic analysis aims to infer meaning from data. In a mathematical sense, the analysis relates objects in a syntactic domain to objects in a semantic domain. In natural language processing, semantic embeddings such as word2vec and, more recently, BERT and GPT-2, have had a revolutionary impact on semantic analysis. T... | 0 |
Text segmentation is the task of determining the positions at which topics change in a stream of text. Interest in automatic text segmentation has blossomed over the last few years, with applications ranging from information retrieval to text summarization to story segmentation of video feeds. Early work in multiparagr... | 0 |
For most Natural Language Processing (NLP) tasks, obtaining sufficient annotated text for training accurate models is a critical bottleneck. Thus active learning has been applied to NLP tasks to minimise the expense of annotating data (Thompson et al., 1999; Tong and Koller, 2001 ; Settles and Craven, 2008) . Active le... | 0 |
Automatic speech recognition (ASR) is widely used in the domain of medical reporting. Users appreciate the fact that the records can be accessed immediately after their creation and that speech recognition provides a hands-free input mode, which is important as physicians often simultaneously handle documents such as n... | 0 |
. Most research on neural literary translation focused on the comparison of statistical and neural models, whereas this paper is one of the first to present a comparison exclusively among NMT models, specifically between models adapted to novels and the mixed-domain Google Neural Machine Translation (GNMT) system, expl... | 0 |
In English and in many other languages, a possible function of definite descriptions is to identify a set of referents 1 : by uttering an expression of the form The N, the speaker gives sufficient information to the hearer so that s/he can identify the set of the objects the speaker is referring to.From the generation ... | 0 |
In recent years, Neural Machine Translation (NMT) (Kalchbrenner and Blunsom, 2013; Sutskever et al., 2014; Bahdanau et al., 2015) has achieved great success in some language pairs, rivalling the state-ofthe-art Statistical Machine Translation (SMT). The Recurrent Neural Network (RNN) encoder-decoder architecture is wid... | 0 |
A growing body of literature signals a thorny issue with assessing general progress in the field of natural language processing (NLP) as part of artificial intelligence. Benchmarks that are considered 'general', and are widely used as standards to assess NLP systems' performance, turn out to be rather specific, and hen... | 0 |
The ACQUILEX LKB is designed to support representation of multilingual lexical information extracted from machine readable dictionaries (MRDs) in such a way that it can be utilised by NLP systems. In contrast to lexical database systems (LDBs) or thesauruslike representations (e.g. Alshawi et al., 1989; Calzolari, 1988... | 0 |
The Automatic Term Recognition (ATR) task consists in identifying linguistic expressions that refer to domain concepts. This is usually realised in two steps. In the first one, candidates for terms are identified in a corpus of domain texts. This step usually consists in identifying grammatically correct phrases by mea... | 0 |
Les approches statistiques à la traduction automatique reposent en général sur des analyses relativement surfaciques du texte à traduire. En particulier, l'approche basée sur les segments (Phrase-based Statistical Machine Translation (PBSMT)) (Koehn et al., 2003) utilise comme unités de traduction des segments constitu... | 0 |
In recent years, deep learning methods have brought sentiment classification to a new height with big data, see a survey paper . However, these deep learning methods primarily focus on learning a model from the training data of one task and the learned model is tested on the same task. In this paper, we study the probl... | 0 |
Many approaches have been proposed to compute similarity between texts, from lexical overlap measures to statistical topic models that are learned from large corpora. In this paper, we propose a method for using knowledge from a structured, collaborative resource -the Wikipedia hypertext encyclopedia -in order to build... | 0 |
Pre-trained language models such as BERT (Devlin et al., 2019) and RoBERTa (Liu et al., 2019) have enabled performance improvements on benchmarks of language understanding (Wang et al., 2019a) . However, improved performance is not only the result of increased ability to solve the benchmark tasks as intended, but also ... | 0 |
The quality of automatic speech-to-text and speechto-speech (S2S) translation has improved so significantly over the last several decades that such systems are now widely deployed and used by an increasing number of consumers. Under the hood, the individual components such as automatic speech recognition (ASR), machine... | 0 |
Event-based temporal inference aims at determining temporal anchoring and relative ordering of events in text. It is a fundamental natural language technology that supports a wide range of natural language applications, such as Information Extraction (Ji, 2010), Question Answering (Harabagiu and Bejan, 2005; Harabagiu ... | 0 |
Due to the information explosion on the WWW, the cost of catching up with the latest trends has risen. Consumer Generated Media (CGM), such as weblogs and social networking service (SNS), are only accelerating this explosion. The best approach to recognizing trends from among the huge number of documents being created ... | 0 |
During the past two decades, Frame Semantics (Fillmore, 1985; Fillmore and Baker, 2010) has drawn the attention of an increasing number of scholars interested in accounting for the relationship between the lexicon and background knowledge that speakers of a language are assumed to share (details about Frame Semantics a... | 0 |
Parallel corpora (documents collections that are translations of one another) are the bread and butter of machine translation (MT). Solutions have been proposed for mining parallel texts found on the Web (Chen and Nie, 2000; Resnik and Smith, 2003) , and for aligning sentences in parallel documents (Gale and Church, 19... | 0 |
In recent years, there has been significant progress in the digitization of scientific papers; it has become common to distribute papers in electronic format, from paper submissions to the hand of readers without passing through print media.Major academic publishers have defined their own XML format and utilize a corre... | 0 |
Figurative language employs words in a way that deviates from their normal meaning. It includes idiomatic usage, metaphor, metonymy or other types of creative language. Being able to detect figurative language is important for a number of NLP applications, e.g., machine translation.Simply checking the input against an ... | 0 |
St. Lawrence Island Yupik, henceforth Yupik, is an endangered polysynthetic language spoken on St. Lawrence Island, Alaska and the Chukotka Peninsula of Russia. Members of the Yupik community on St. Lawrence Island have expressed interest in language revitalization and conservation.Recent work by Chen and Schwartz (201... | 0 |
Text generation is a central task in the NLP field. The progress achieved in text generation will help a lot in building strong artificial intelligence (AI) that can comprehend and compose human languages.Review generation is an interesting subtask of data-to-text generation. With more and more online trades, it usuall... | 0 |
In addition to formal documents, short texts play an increasingly more important role in the era of information explosion where people could instantly share ideas, feelings, and comments via short text fragments, including tweets, headlines, and product reviews, etc. The latent semantics or topics discovered among thes... | 0 |
Knowledge base (KB) like Freebase 1 and Yago 2 has attracted a lot of attention in both research and industry communities. Knowledge Base contains massive triples (entries), each of which is a fact consisting of two arguments and one predicate, such as (Una White, profession, Nurse). A large, high-quality KB is valuabl... | 0 |
How can we learn syntactic structure from unlabeled data in an unsupervised way? The importance of unsupervised parsing is nowadays widely acknowledged. While supervised parsers suffer from shortage of hand-annotated data, unsupervised parsers operate with unlabeled raw data, of which unlimited quantities are available... | 0 |
Mediation is a rapidly growing practice among dispute resolution processes. The high costs and delays of traditional litigation lead people to prefer alternative dispute resolution (ADR) processes, and dispute mediation is becoming extremely popular, particularly in English-speaking countries 1 . In different domains o... | 0 |
The production of language resources (LR) is a bottleneck for the development of many Natural Language Processing applications. The development of language resources by humans is very expensive and time consuming. Currently, a mainstream line of research is working on the automation of this task by using Machine Learni... | 0 |
The focus of this paper is on function words, a class of words with little intrinsic meaning but is vital in expressing grammatical relationships among words within a sentence. Such encoded grammatical information, often implicit, makes function words pivotal in modeling structural divergences, as projecting them in di... | 0 |
Transfer learning, or sometimes known as domain adaptation, 2 plays an important role in various natural language processing (NLP) applications, especially when we do not have large enough datasets for the task of interest (called the target task T ). In such scenarios, we would like to transfer or adapt knowledge from... | 0 |
Customization to specific discourse domains and/or user requirements is one of the greatest challenges for today's Information Extraction (IE) systems. While demonstrably effective, both rulebased and supervised machine learning approaches to IE customization require a substantial development effort. For example, Aone ... | 0 |
St. Lawrence Island Yupik (hereafter Yupik) is an endangered polysynthetic language spoken on St. Lawrence Island, Alaska and on the Chukotka Peninsula of Russia. While conducting linguistic fieldwork between 2016 and 2019, we observed substantial support within the Yupik community for language revitalization and for r... | 0 |
Automated storytelling can be thought of as creative, long-from text generation and understanding-requiring explicit long-term memory, consistency, and creativity among other pre-requisites. Most modern (neural) automated storytellers are plot-driven and frame the task in terms of sequentially generating plot points th... | 0 |
End-to-end models yield state-of-the-art performance on automatic speech recognition (ASR) in the past decade, such as connectionist temporal classification (CTC) model (Miao et al., 2015; Graves, 2012) , attention-based encoder-decoder model (Zhang et al., 2017) , recurrent neural network transducer (RNN-T) (Graves, 2... | 0 |
As Machine Translation (MT) matures, and as systems become more modular and well specified, pressure increases on system builders to re-use previously built modules instead of developing new ones for every new system. The natural question arises: can one put together a parser for one language and a generator for anothe... | 0 |
Name tagging 2 is the task of identifying the boundaries of entity mentions in texts and classifying them into the pre-defined entity types (e.g., person). It serves as a fundamental role as providing the essential inputs for many IE tasks, such as Entity Linking (Cao et al., 2018a) and Relation Extraction (Lin et al.,... | 0 |
The ALTA Shared Task 2013 1 required participants to recover casing and punctuation information from degraded English text. The task focused specifically on English text where casing and punctuation were entirely absent (i.e. all characters had been reduced to lowercase, and all non-alphanumeric symbols had been omitte... | 0 |
Document summarization is an active subject of research and development. The ACM Digital Library has about 806 reports on the subject published since 1993, with over half of them appearing in the last five years. While the impetus for much of this research is the annual Text Analysis Conference (TAC) workshop on docume... | 0 |
Spoken dialogue systems have been modeled with abstracted classes, such as dialogue states, which are handcrafted for the assumed task of the system (Dahl et al., 1994; Williams et al., 2013; Kim et al., 2016) . However, handcrafting such dialogue states is costly, making it harder to build extensible dialogue systems ... | 0 |
The vast majority of doctor-patient interactions in a healthcare setting is through verbal communication. The provision of written information to patients, to complement and augment the face-to-face session, increases the amount of information they retain (Di-Marco et al., 2005) . Additionally, studies in health commun... | 0 |
Semantic networks and ontologies are key resources in Natural Language Processing. Of these resources, WordNet (Fellbaum, 1998) , the de facto standard lexical database of English, has remained in widespread use over the past two decades, with a broad range of applications such as Word Sense Disambiguation (Navigli, 20... | 0 |
Machine Translation (MT) is a flagship of the recent successes and advances in the field of natural language processing. Its practical applications and use as a testbed for sequence transduction algorithms have spurred renewed interest in this topic.While recent advances have reported near human-level performance on se... | 0 |
Languages such as Catalan, Czech, Finnish, German, Hindi, Hungarian, Japanese, Polish, Russian, Turkish, etc. have much freer word order than English. For example, all six permutations of a transitive sentence are grammatical in Turkish (although SOV is the most common). When we translate an English text into a "free" ... | 0 |
This paper 1 presents the joint submission of University of Colorado and University of Helsinki for the 2018 VarDial shared task on morphosyntactic tagging of Croatian, Serbian and Slovenian tweets (Zampieri et al., 2018) . Morphosyntactic tagging is a useful preprocessing task when parsing morphologically complex lang... | 0 |
Le nombre d'approches en traduction automatique s'est multiplié dans les dernières années. Il existe entre autres la traduction par les règles, la traduction statistique et la traduction guidée par l'exemple. Dans cet article, nous décrivons l'approche statistique adoptée pour le projet Portage au sein du Groupe de Tec... | 0 |
Abstract Meaning Representation (AMR; Banarescu et al. 2013) is a broad-coverage semantic formalism which represents sentence meaning as rooted labeled directed acyclic graphs. The representations have been exploited in a wide range of tasks, including text summarization (Liu et al., 2015; Dohare and Karnick, 2017; Har... | 0 |
Autism Spectrum Disorder (ASD) is a highly heterogeneous, brain-based developmental disorder affecting approximately 1.5% of the population (Christensen, 2016) . Primary diagnostic indicators include impairments in social communication and reciprocity, as well as the presence of repetitive behaviors and restricted patt... | 0 |
Prediction of hospital readmission has always been recognized as an important topic in surgery. Previous studies have shown that the post-discharge readmission takes up tremendous social resources, while at least a half of the cases are preventable (Basu Roy et al., 2015; Jones et al., 2016) . Clinical notes, as part o... | 0 |
Translation dictionaries, multilingual thesauri, and other translingual lexical (more precisely, lemmatic) resources answer queries of the form "Given lemma X in language A, what possible translations of it into language B exist?" However, existing resources answer only a small fraction of the potential queries of this... | 0 |
In an evaluation of nine spoken dialogue information systems, developed as part of the DARPA Communicator program, the information presentation phase of the dialogues was found to be the primary contributor to dialogue duration (Walker, Passonneau, and Boland 2001) . During this phase, the typical system sequentially p... | 0 |
Relation Extraction (RE) is vital for NLP tasks such as information extraction, question answering and knowledge base completion. RE aims to identify the relationship between an entity pair (e 1 , e 2 ) in a sentence. For example, in the sentence "[Bill Gates e 1 ] is the principal founder of [M icrosof t e 2 ]", the r... | 0 |
Lingmotif 1 is a lexicon-based Sentiment Analysis (SA) system that employs a set of lexical sources and analyzes context, by means of sentiment shifters in order to identify sentiment-laden text segments and produce two scores that qualify a text from a SA perspective. In a nutshell, it breaks down a text into its cons... | 0 |
Parallel text is an essential ingredient for building Statistical Machine Translation (SMT) and Neural Machine Translation (NMT) systems. By definition, parallel text is a kind of corpus consisting of pairs of sentences, where one is written in the source language (e.g., Somali) and the other is its translation in the ... | 0 |
Recent research has focused on devising new unsupervised pretraining methods from unlabeled data that involves some form of language modeling, primarily autoregressive (Peters et al., 2018; Radford et al., 2019) , masked (Devlin et al., 2019; Conneau et al., 2020) and generalized (Radford et al., 2019; Brown et al., 20... | 0 |
Learning to identify lexical relations is a fundamental task in natural language processing ("NLP"), and can contribute to many NLP applications including paraphrasing and generation, machine translation, and ontology building (Banko et al., 2007; Hendrickx et al., 2010) .Recently, attention has been focused on identif... | 0 |
Coreference resolution is the process of linking together multiple expressions of a given entity. The key to solve this problem is to determine the antecedent for each referring expression in a document.In coreference resolution, it is common that two or more candidates compete to be the antecedent of an anaphor (Mitko... | 0 |
Recently, CG formalism was applied to several Thai NLP applications such as syntactic information for Thai to English RBMT (Ruangrajitpakorn et al., 2007) , a CG treebank (Ruangrajitpakorn et al., 2009) , and an automatic CG tagger (Supnithi et al., 2010) . CG shows promises to handle Thai syntax expeditiously since it... | 0 |
Identifying and classifying named-entities into person, location, organization or other names in a text is an important task for numerous applications. I focus here on building a named entity recognition system that will automatically mark the boundaries and labels of the named entities (NEs) in running text. The syste... | 0 |
Astronauts on board the International Space Station engage in a wide variety of tasks on orbit in-cluding medical procedures, extra vehicular activity (E V A), scientific payloads, and station repair and maintenance. These human space flight activities require extensive and thorough procedures. These procedures are wri... | 0 |
Recently, there has been considerable interest in applying natural language processing (NLP) techniques to support software development (Iyer et al., 2016; Yin and Neubig, 2018; Panthaplackel et al., 2020) . One such task involves the automatic generation of release notes. A release note is a technical document that de... | 0 |
Automatic bilingual term extraction methods have been studied extensively, because bilingual terms are essential in supporting human and machine translation. For example, Itagaki et al. (2007) have proposed a supervised method for extracting bilingual terms from a phrase-table built from parallel corpus using standard ... | 0 |
Haplology is the elimination of one of the two consecutive identical sounds or syllables, as such it is often considered as primarily a phonological operation. Haplology is not uncommon across different languages although different languages differ slightly in the phonological process (Neeleman & Van, 2005; Stemberger,... | 0 |
Generation research has not yet fully identified the advantages offered by parallelism nor the techniques necessary to take advantage of it. This is especially true for the syntactic aspects of generation.This paper presents a way to exploit parallelism for syntax in generation. The key points are: Syntactic constructi... | 0 |
Dialogue Acts (DA) are fundamental for the analysis of conversations: they carry communicative functions such as question, answer, expression of agreement and disagreement, etc. Consequently, the range of applications of DA analysis is quite wide and includes conversation summarization (both spoken and written), dialog... | 0 |
The 2016 CLPsych Shared Task focused on automatic triage of posts from ReachOut.com, an anonymous online mental health site for young people that permits peer support and dissemination of mental health information and guidance. Peer support and volunteer services like ReachOut, Koko, 1 and Crisis Text Line 2 offer new ... | 0 |
Humans perform various tasks that have an inherent sequential nature comprising several steps; repairing a device is one of them. An AI agent serving as a cooperative assistant in such a task should be provided with contextual knowledge about the pertinent sequence of steps. The importance of such knowledge in cooperat... | 0 |
Social media platforms have enabled new forms of discourse and have also provided enormous quantities of data on these communications. For instance, the popular microblogging service Twitter provides an exceptionally useful source of user-generated content which has attracted considerable interest from researchers in c... | 0 |
The growing presence of biased, one-sided, and often altered discourse, is posing a challenge to our media platforms from newswire to social media (Vosoughi et al., 2018) . To overcome this challenge, fact-checking has emerged as a necessary part of journalism, where experts examine "check-worthy" claims (Hassan et al.... | 0 |
L'alignement sous-phrastique consiste à identifier des traductions d'unités textuelles à partir d'un corpus parallèle aligné en phrases, c'est-à-dire dont les phrases ont été préalablement mises en correspondance avec leur traduction. Cette tâche constitue la première étape du processus d'entraînement de la plupart des... | 0 |
Coreference resolvers are typically evaluated on collections of news articles that cover a wide range of topics, such as the ACE (ACE03, 2003; ACE04, 2004; ACE05, 2005) and OntoNotes (Pradhan et al., 2007) data sets. Many NLP applications, however, involve text analysis for specialized domains, such as clinical medicin... | 0 |
One prominent way of modelling the decisionmaking component of a spoken dialogue system (SDS) is to use (partially observable) Markov decision processes ((PO)MDPs) (Lemon and Pietquin, 2012; . There, reinforcement learning (RL) (Sutton and Barto, 1998) is applied to find the optimal system behaviour represented by the ... | 0 |
Morphological analysis is a crucial part of processing languages with complex morphologies, such as the agglutinative Azerbaijani Turkish. The morphological analysis provides a number of "readings" or analysis for each word, as a part of the overall NLP task. Indeed, morphological analysis yields some properties of a w... | 0 |
Corpora with high-quality annotation is regarded indispensable for the development of language processing technology (LT), e.g. natural language processing (NLP) or textmining. Biology is one of the fields which have strong needs for LT, due to the high productivity of new information, most of which is published in lit... | 0 |
Recent advances in neural text generation have led to significant improvement in the quality of abstractive summarization (Radford et al., 2019; Gehrmann et al., 2019; Lewis et al., 2019) . Despite this progress, there are still many limitations facing neural text summarization (Kryscinski et al., 2019) , the most seri... | 0 |
Textless spoken language modeling (Lakhotia et al., 2021) consists in jointly learning the acoustic and linguistic characteristics of a natural language from raw audio samples without access to textual supervision (e.g. lexicon or transcriptions). This area of research has been made possible by converging progress in s... | 0 |
Recent trends in NLP have demonstrated the utility of pre-trained deep contextual representations in numerous downstream NLP tasks, where they have almost consistently resulted in significant performance improvements. Detailed evaluations have naturally followed: these have either been follow-up works to papers describ... | 0 |
Fine-grained opinion mining has been a crucial task in natural language processing (NLP) for a long time (Kim and Hovy, 2006a; Breck et al., 2007; Wilson et al., 2009; Qiu et al., 2011; Irsoy and Cardie, 2014; Liu et al., 2015; Wiegand et al., 2016) and it aims to discover useful structural information of user opinions... | 0 |
As empirically demonstrated by the last SensEval and SemEval exercises, assigning the appropriate meaning to words in context has resisted all attempts to be successfully addressed. In fact, supervised word-based WSD systems are very dependent of the corpora used for training and testing the system (Escudero et al., 20... | 0 |
The SRI Core Language Engine (CLE; A1shawi et al, 1988a,b ) is a domain independent system for translating English sentences into formal representations of their literal meanings which are capable of supporting reasoning. It is designed to be used as a major component of interactive advisor systems such as interfaces t... | 0 |
Update summarization has attracted significant research focus recently. Different from generic extractive summarization, update summarization assumes that users already have some information about a given topic from an old data set, and thus for a new data set the system aims to generate a summary that contains as much... | 0 |
TRANSTYPE is part of a project set up to explore an appealing solution to Interactive Machine Translation (IMT) . In constrast to classical IMT systems, where the user's role consists mainly of assisting the computer to analyse the source text (by answering questions about word sense, ellipses, phrasal attachments, etc... | 0 |
Adversarial attacks use adversarial examples (Szegedy et al., 2014; Goodfellow et al., 2015) , which are maliciously crafted by perturbing the original input, to fool the deep neural networks (DNNs). Extensive studies have demonstrated that DNNs are vulnerable to adversarial attacks, e.g., minor modification to highly ... | 0 |
Social media and online text applications have been gaining popularity in recent years. Users post videos, pictures, and text to share their daily life as well as to communicate with others. This vast amount of multimodal data greatly facilitates various user analysis tasks such as sentiment analysis.Emotion detection ... | 0 |
The commoditization of MT, as evidenced by increased use of MT across industries and domains, results most significantly by the availability of open source MT tools such as Moses [1] and online tools for training and building customized systems (such as those offered by Microsoft, SDL, IBM, etc.). But it is also due to... | 0 |
Simultaneous machine translation (SimulMT) is a task to start outputting translation before observing the whole input sentence. SimulMT is more difficult than the translation with the whole input sentence because it cannot use the latter part of the sentence as context. SimulMT has to decide whether to wait for more in... | 0 |
MT Automatic Post-Editing (APE) is the task of automatically correcting errors in a machinetranslated text. As pointed out by (Chatterjee et al., 2015) , from the application point of view the task is motivated by its possible uses to:• Improve MT output by exploiting information unavailable to the decoder, or by perfo... | 0 |
Analyzing named entities (NEs) in Slavic languages poses a challenging problem, due to the rich inflection and derivation, free word order, and other morphological and syntactic phenomena exhibited in these languages (Przepiórkowski, 2007; Piskorski et al., 2009) . Encouraging research on detection and normalization of... | 0 |
Despite the success of deep neural models on many Natural Language Processing (NLP) tasks (Liu et al., 2016; Devlin et al., 2019; Liu et al., 2019b) , recent work has discovered that these models are not robust to noisy input from the real world and thus their performance will decrease (Prabhakaran et al., 2019; Niu et... | 0 |
Recently, neural machine translation (NMT) models (Sutskever et al., 2014; Bahdanau et al., 2015) have obtained state-of-the-art performance on many language pairs. Their success depends on the representation they use to bridge the source and target language sentences. However, this representation, a sequence of fixed-... | 0 |
Parallel data filtering for statistical machine translation (SMT) has shown to be a challenging task. Stricter filtering does not always yield positive results (Zariņa et al., 2015) . This phenomenon can be explained with the higher robustness to noise of SMT systems, i.e., it does not harm the model if there are some ... | 0 |
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