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d11120047 | In this paper, textual intelligibility is evaluated in a set of selected source texts and translations in Portuguese (PT) and English (EN) using the Coh-Metrix andCoh-Metrix-Port tools. Both PT to EN and EN to PT directions of translation are analyzed, making notice that the tools used are independent, without referenc... | Comparando Avaliações de Inteligibilidade Textual entre Originais e Traduções de Textos Literários |
d21715999 | In order to make the temporal interpretation of text, there have been many studies linking event and temporal information, such as temporal ordering of events and timeline generation. To train and evaluate models in these studies, many corpora that associate event information with time information have been developed. ... | Comprehensive Annotation of Various Types of Temporal Information on the Time Axis |
d5282973 | This paper presents an approach for generating free paraphrases of compounds (task 4 at SemEval 2013) by decomposing the training data into a collection of templates and fillers and recombining/scoring these based on a generative language model and discriminative MaxEnt reranking.The system described in this paper achi... | SFS-TUE: Compound Paraphrasing with a Language Model and Discriminative Reranking |
d9373550 | We show that feature logic extended by functional uncertainty is decidable, even if one admits cyclic descriptions.We present an algorithm, which solves feature descriptions containing functional uncertainty in two phases, both phases using a set of deterministic and non-deterministic rewrite rules. We then compare our... | ON THE DECIDABILITY OF FUNCTIONAL UNCERTAINTY* |
d817732 | We explore some properties of the synchronous formalism introduced in Dras (1999), showing that it handles an interaction, noted in Schuler(1999), between bridge and raising verbs which is problematic for synchronous TAG. We also show that it has greater formal power than synchronous TAG and discuss its computational c... | Some remarks on an extension of synchronous TAG * |
d249204445 | Automatic Video Dubbing is the process of automatically revoicing a video with a new script to make it accessible to a new audience. In this paper, we describe AppTek Dubbing, a product that will be available in Q3 2022 to automatically dub a video into a target language. We plan multiple releases of the product with i... | Automatic Video Dubbing at AppTek |
d9070183 | We present a study of cross-lingual direct transfer parsing for the Irish language. Firstly we discuss mapping of the annotation scheme of the Irish Dependency Treebank to a universal dependency scheme. We explain our dependency label mapping choices and the structural changes required in the Irish Dependency Treebank.... | Cross-lingual Transfer Parsing for Low-Resourced Languages: An Irish Case Study |
d253381539 | As polarization continues to rise among both the public and the news media, increasing attention has been devoted to detecting media bias. Most recent work in the NLP community, however, identify bias at the level of individual articles. However, each article itself comprises multiple sentences, which vary in their ide... | Sentence-level Media Bias Analysis Informed by Discourse Structures |
d14586446 | This paper reports on the development of the Dutch Parallel Corpus: a high quality sentence-aligned parallel corpus of 10 million words for the language pairs Dutch-English and Dutch-French. The corpus is composed of different text types. All steps of processing the corpus including alignment and linguistic annotation ... | Dutch Parallel Corpus: MT corpus and translator's aid |
d7453153 | Analogical learning over strings is a holistic model that has been investigated by a few authors as a means to map forms of a source language to forms of a target language. In this study, we revisit this learning paradigm and apply it to the transliteration task. We show that alone, it performs worse than a statistical... | Mapping Source to Target Strings without Alignment by Analogical Learning: A Case Study with Transliteration |
d7769737 | The modifications that foreign loanwords undergo when adapted into Japanese have been the subject of much study in linguistics. The scholarly interest of the topic can be attributed to the fact that Japanese loanwords undergo a complex series of phonological adaptations, something which has been puzzling scholars for d... | How Regular is Japanese Loanword Adaptation? A Computational Study |
d10857255 | THE ARCHITECTURE DEMONSTRATION SYSTEM | |
d225062676 | Reinforcement learning (RL) has made remarkable progress in neural machine translation (N-MT). However, it exists the problems with uneven sampling distribution, sparse rewards and high variance in training phase. Therefore, we propose a multi-reward reinforcement learning training strategy to decouple action selection... | Multi-Reward based Reinforcement Learning for Neural Machine Translation |
d53232651 | We evaluate the output of 16 English-to-German MT systems with respect to the translation of pronouns in the context of the WMT 2018 competition. We work with a test suite specifically designed to assess system quality in various fine-grained categories known to be problematic. The main evaluation scores come from a se... | Edinburgh Research Explorer |
d199529543 | This paper proposes introducing domain adaptation into Japanese predicate-argument structure (PAS) analysis. Our investigation of a Japanese balanced-corpus revealed that the distribution of argument types is different across text media, particularly the difference is significant when the argument is exophoric. The pas... | Effectiveness of Domain Adaptation in Japanese Predicate-Argument Structure Analysis |
d5872794 | The scientific programme of COLING-92 | |
d15424937 | In this paper we highlight a selection of features of scientific text which distinguish it from news stories. We argue that features such as structure, selective use of past tense, voice and stylistic conventions can affect question answering in the scientific domain. We demonstrate this through qualitative observation... | A Qualitative Comparison of Scientific and Journalistic Texts from the Perspective of Extracting Definitions |
d6312982 | Among human cognitive abilities, language is singular in the diversity of its manifestations: over 6000 languages are spoken in the world today. Some of the major challenges in modelling how language is processed by the human brain thus lie in explaining (a) how this diversity is handled, and (b) whether there are neve... | Towards a Neurobiologically Plausible Model of Human Sentence Comprehension Across Languages |
d1507089 | Ontology authoring is a specialised task requiring amongst other things a deep knowledge of the ontology language being used. Understanding and reusing ontologies can thus be difficult for domain experts, who tend not to be ontology experts. To address this problem, we have developed a Natural Language Generation syste... | Unlocking Medical Ontologies for Non-Ontology Experts |
d260335067 | La phonétique et la phonologie à la rencontre du traitement automatique des langues | |
d3643309 | Data sparsity is a large problem in natural language processing that refers to the fact that language is a system of rare events, so varied and complex, that even using an extremely large corpus, we can never accurately model all possible strings of words. This paper examines the use of skip-grams (a technique where by... | A Closer Look at Skip-gram Modelling |
d250390934 | Pre-trained language models (PLMs) have dramatically improved performance for many natural language processing (NLP) tasks in domains such as finance and healthcare. However, the application of PLMs in the domain of commerce, especially marketing and advertising, remains less studied. In this work, we adapt pretraining... | CULG: Commercial Universal Language Generation |
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d202771940 | In this paper, we develop a novel Sparse Self-Attention Fine-tuning model (referred as SSAF) which integrates sparsity into selfattention mechanism to enhance the finetuning performance of BERT. In particular, sparsity is introduced into the self-attention by replacing softmax function with a controllable sparse transf... | Fine-tune BERT with Sparse Self-Attention Mechanism |
d18738166 | Translation between varieties of the same language is a widespread reality in the localisation industry. However, monolingual statistical machine translation (SMT) is still a solution that has not yet been adequately explored; to the best of our knowledge, previous work in this area has never directly applied SMT to va... | Standard Language Variety Conversion for Content Localisation Via SMT |
d6987562 | This paper describes an unsupervised algorithm for placing unknown words into a taxonomy and evaluates its accuracy on a large and varied sample of words. The algorithm works by first using a large corpus to find semantic neighbors of the unknown word, which we accomplish by combining latent semantic analysis with part... | Unsupervised methods for developing taxonomies by combining syntactic and statistical information |
d31544797 | This paper describes a Chinese word segmentation system based on word boundary token model and triple template matching model for extracting unknown words; and word support model for resolving segmentation ambiguity. | Word Boundary Token Model for the SIGHAN Bakeoff 2007 |
d51875130 | In this work, we address the problem of Named Entity Recognition (NER) in codeswitched tweets as a part of the Workshop on Computational Approaches to Linguistic Code-switching (CALCS) at ACL'18 (Aguilar et al., 2018). Code-switching is the phenomenon where a speaker switches between two languages or variants of the s... | Simple Features for Strong Performance on Named Entity Recognition in Code-Switched Twitter Data |
d776271 | Anaphoric shell nouns such as this issue and this fact conceptually encapsulate complex pieces of information(Schmid, 2000). We examine the feasibility of annotating such anaphoric nouns using crowdsourcing. In particular, we present our methodology for reliably annotating antecedents of such anaphoric nouns and the ch... | Annotating Anaphoric Shell Nouns with their Antecedents |
d237010913 | Machine Translation (MT) is a common approach to feed humans or machines in a cross-lingual context. However, there are some expected drawbacks. Studies suggest that in the crosslingual context, MT system often fails to preserve different stylistic and pragmatic properties of the source text (e.g. sentiment, emotion, g... | Sentiment Preservation in Review Translation using Curriculum-based Re-inforcement Framework |
d219310191 | ||
d204512247 | We evaluate three simple, normalization-centric changes to improve Transformer training. First, we show that pre-norm residual connections (PRENORM) and smaller initializations enable warmup-free, validation-based training with large learning rates. Second, we propose 2 normalization with a single scale parameter (SCAL... | Transformers without Tears: Improving the Normalization of Self-Attention |
d6741270 | The lack of suitable training and testing data is currently a major roadblock in applying machine-learning techniques to dialogue management. Stochastic modelling of real users has been suggested as a solution to this problem, but to date few of the proposed models have been quantitatively evaluated on real data. Indee... | Quantitative Evaluation of User Simulation Techniques for Spoken Dialogue Systems |
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d6247099 | This paper presents work in progress towards automatic recognition and classification of comparisons and similes.Among possible applications, we discuss the place of this task in text simplification for readers with Autism Spectrum Disorders (ASD), who are known to have deficits in comprehending figurative language.We ... | Computational considerations of comparisons and similes |
d3995650 | Named Entity Recognition is one of the key techniques in the fields of natural language processing, information retrieval, question answering and so on. Unfortunately, Chinese Named Entity Recognition (NER) is more difficult for the lack of capitalization information and the uncertainty in word segmentation. In this pa... | Chinese Named Entity Recognition Combining a Statistical Model with Human Knowledge |
d26939597 | Twitter should be an ideal place to get a fresh read on how different issues are playing with the public, one that's potentially more reflective of democracy in this new media age than traditional polls. Pollsters typically ask people a fixed set of questions, while in social media people use their own voices to speak ... | Twitter Demographic Classification Using Deep Multi-modal Multi-task Learning |
d259376517 | In this paper, we describe our submission to the Simultaneous Track at IWSLT 2023. This year, we continue with the successful setup from the last year, however, we adopt the latest methods that further improve the translation quality. Additionally, we propose a novel online policy for attentional encoder-decoder models... | Towards Efficient Simultaneous Speech Translation: CUNI-KIT System for Simultaneous Track at IWSLT 2023 |
d259376554 | This paper describes our contribution to SemEval-23 Shared Task 12: ArfiSenti. The task consists of several sentiment classification subtasks for rarely studied African languages to predict positive, negative, or neutral classes of a given Twitter dataset. In our system we utilized three different models; FastText, Mul... | Sefamerve at SemEval-2023 Task 12: Semantic Evaluation of Rarely Studied Languages |
d20607037 | Dependency parsers are almost ubiquitously evaluated on their accuracy scores, these scores say nothing of the complexity and usefulness of the resulting structures. The structures may have more complexity due to their coordination structure or attachment rules. As dependency parses are basic structures in which other ... | Improvements to Syntax-based Machine Translation using Ensemble Dependency Parsers |
d227231598 | ||
d2044906 | Dynamic lexical acquisition is a procedure where the lexicon of an NLP system is updated automatically during sentence analysis. In our system, new words and new attributes are proposed online according to the context of each sentence, and then get accepted or rejected during syntactic analysis. The accepted lexical in... | Dynamic Lexical Acquisition in Chinese Sentence Analysis |
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d19020561 | This paper gives a formal theory of presupposition using situation semantics developed by Barwise and Perry, We will slightly modify Barwise and Perry's original theory of situation semantics so that we can deal with non-monotonic reasonings which are very important for the formalization of presupposition in natural la... | SITUAT]Or~JA L |
d15498055 | Automatic satire detection is a subtle text classification task, for machines and at times, even for humans. In this paper we argue that satire detection should be approached using common-sense inferences, rather than traditional text classification methods. We present a highly structured latent variable model capturin... | Understanding Satirical Articles Using Common-Sense |
d1471881 | ||
d764565 | USING A NATURAL-ARTIFICIAL HYBRID LANGUAGE FOR DATABASE ACCESS | |
d12291814 | In this paper, we proposed a new diMogue system with multiple dialogue agents. In our new system, three types of agents: a) domain agents, b) strategy agents, and c) context agents were realized. They give the follmving advantages to the user:• the domain age.nts make the user aware of the boundary between the domains.... | A CD-ROM Retrieval System with Multiple Dialogue Agents |
d16631543 | In this paper, we explore the application of inference rules for recognizing textual entailment (RTE). We start with an automatically acquired collection and then propose methods to refine it and obtain more rules using a hand-crafted lexical resource. Following this, we derive a dependency-based representation from te... | Inference Rules for Recognizing Textual Entailment |
d1326344 | The identification of light verb constructions (LVC) is an important task for several applications. Previous studies focused on some limited set of light verb constructions. Here, we address the full coverage of LVCs. We investigate the performance of different candidate extraction methods on two English full-coverage ... | Full-coverage Identification of English Light Verb Constructions |
d201676827 | We propose a novel approach to the study of how artificial neural network perceive the distinction between grammatical and ungrammatical sentences, a crucial task in the growing field of synthetic linguistics. The method is based on performance measures of language models trained on corpora and finetuned with either gr... | An LSTM adaptation study of (un)grammaticality |
d250391013 | Gender is a construction in line with social perception and judgment. An important means of this construction is through languages. When natural language processing tools, such as word embeddings, associate gender with the relevant categories of social perception and judgment, it is likely to cause bias and harm to tho... | Analysis of Gender Bias in Social Perception and Judgement Using Chinese Word Embeddings |
d2691725 | Temporal expressions in texts contain significant temporal information. Understanding temporal information is very useful in many NLP applications, such as information extraction, documents summarization and question answering. Therefore, the temporal expression normalization which is used for transforming temporal exp... | Automatic Temporal Expression Normalization with Reference Time Dynamic-Choosing |
d358521 | Automatic evaluation of Machine Translation (MT) quality is essential to developing highquality MT systems. Various evaluation metrics have been proposed, and BLEU is now used as the de facto standard metric. However, when we consider translation between distant language pairs such as Japanese and English, most popular... | Automatic Evaluation of Translation Quality for Distant Language Pairs |
d252819237 | An after-visit summary (AVS) is a summary note given to patients after their clinical visit. It recaps what happened during their clinical visit and guides patients' disease self-management. Studies have shown that a majority of patients found after-visit summaries useful. However, many physicians face excessive worklo... | Generation of Patient After-Visit Summaries to Support Physicians |
d7807749 | Taiwan Child Language Corpus contains scripts transcribed from about 330 hours of recordings of fourteen young children from Southern Min Chinese speaking families in Taiwan. The format of the corpus adopts the Child Language Data Exchange System (CHILDES). The size of the corpus is about 1.6 million words. In this pap... | Taiwan Child Language Corpus: Data Collection and Annotation |
d29830292 | This paper puts TAGs into an algebraic perspective. The operation of tree adjunction is shown to be a special case of function substitution within a derived theory. The underlying process of theory derivation is illustrated with the concrete example of free continuous tree algebras. | TAGS M-CONSTRUCTED |
d7652829 | In this paper we present a novel approach to modelling distributional semantics that represents meaning as distributions over relations in syntactic neighborhoods. We argue that our model approximates meaning in compositional configurations more effectively than standard distributional vectors or bag-of-words models. W... | A Structured Distributional Semantic Model for Event Co-reference |
d32235480 | Recently, there has been an explosion in the availability of large, good-quality cross-linguistic databases such as WALS (Dryer & Haspelmath, 2013), Glottolog (Hammarström et al., 2015) and Phoible (Moran & McCloy, 2014). Databases such as Phoible contain the actual segments used by various languages as they are given... | Defining and Counting Phonological Classes in Cross-linguistic Segment Databases |
d15684741 | Bien que de nombreux efforts aient été déployés pour extraire des collocations à partir de corpus de textes, seule une minorité de travaux se préoccupent aussi de rendre le résultat de l'extraction prêt à être utilisé dans les applications TAL qui pourraient en bénéficier, telles que la traduction automatique. Cet arti... | Collocation translation based on sentence alignment and parsing |
d6242473 | This paper proposes the usage of variant corpora, i.e., parallel text corpora that are equal in meaning but use different ways to express content, in order to improve corpus-based machine translation. The usage of multiple training corpora of the same content with different sources results in variant models that focus ... | Exploiting Variant Corpora for Machine Translation |
d16681511 | We propose in this paper an automatic evaluation procedure based on a metric which could provide summary evaluation without human assistance. Our system includes two metrics, which are presented and discussed. The first metric is based on a known and powerful statistical test, the χ 2 goodness-of-fit test, and has been... | Evaluating Summaries Automatically -a system proposal |
d27387954 | Our team-Uvic-NLP-explored and evaluated a variety of lexical features for Native Language Identification (NLI) within the framework of ensemble methods. Using a subset of the highestperforming features, we train Support Vector Machines (SVM) and Fully Connected Neural Networks (FCNN) as base classifiers, and test diff... | Ensemble Methods for Native Language Identification |
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d258486855 | We report on work in progress dealing with the automated generation of pronunciation information for English multiword terms (MWTs) in Wiktionary, combining information available for their single components. We describe the issues we were encountering, the building of an evaluation dataset, and our teaming with the DBn... | Enriching Multiword Terms in Wiktionary with Pronunciation Information |
d1699233 | Statistical user simulation is a promising methodology to train and evaluate the performance of (spoken) dialog systems. We work with a modular architecture for data-driven simulation where the "intentional" component of user simulation includes a User Model representing userspecific features. We train a dialog simulat... | Cooperative User Models in Statistical Dialog Simulators |
d226262348 | Legislator preferences are typically represented as measures of general ideology estimated from roll call votes on legislation, potentially masking important nuances in legislators' political attitudes. In this paper we introduce a method of measuring more specific legislator attitudes using an alternative expression o... | An Embedding Model for Estimating Legislative Preferences from the Frequency and Sentiment of Tweets |
d226283961 | Text structuring is a fundamental step in NLG, especially when generating multi-sentential text. With the goal of fostering more general and data-driven approaches to text structuring, we propose the new and domain-independent NLG task of structuring and ordering a (possibly large) set of EDUs. We then present a soluti... | Towards Domain-Independent Text Structuring Trainable on Large Discourse Treebanks |
d53656941 | The cost of integrating dependent constituents to their heads is thought to involve the distance between dependent and head and the complexity of the integration(Gibson, 1998). The former has been convincingly addressed by Dependency Distance Minimization (DDM) (cf. . The current study addresses the latter by proposing... | Integration complexity and the order of cosisters |
d7567116 | In this paper we show why scalability is one of the most important aspects for the evaluation of Machine Translation (MT) systems and what scalability entails in the framework of MT. We illustrate the issue of scalability by reporting about an MT solution, which has been chosen in the course of a thorough hands-on eval... | Scalability in MT Systems |
d21729672 | We compare manual and automatic approaches to the problem of extracting bitexts from the Web in the framework of a case study on building a Russian-Kazakh parallel corpus. Our findings suggest that targeted, site-specific crawling results in cleaner bitexts with a higher ratio of parallel sentences. We also find that g... | Manual vs Automatic Bitext Extraction |
d1017312 | In this paper we present a textual dialogue system that uses word associations retrieved from the Web to create propositions. We also show experiment results for the role of modality generation. The proposed system automatically extracts sets of words related to a conversation topic set freely by a user. After the extr... | A Casual Conversation System Using Modality and Word Associations Retrieved from the Web |
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d6602375 | Prepositions in Applications: A Survey and Introduction to the Special Issue | |
d227230504 | ||
d5185315 | This paper argues against the view that Japanese indirect passives are restricted with respect to the base verb that they take. Specifically, it argues that, despite its initial plausibility, the oft-proposed generalization that unaccusatives cannot appear in indirect passives is too strong and the alleged distribution... | On the Alleged Condition on the Base Verb of the Indirect Passive in Japanese |
d17934901 | This paper describes our contribution in Opinion Target Extraction OTE and Sentiment Polarity sub tasks of SemEval 2015 ABSA task. A CRF model with IOB notation has been adopted for OTE with several groups of features including syntactic, lexical, semantic, sentiment lexicon features. Our submission for OTE is ranked f... | Lsislif: CRF and Logistic Regression for Opinion Target Extraction and Sentiment Polarity Analysis |
d196192207 | The purpose of the research is to answer the question whether linguistic information is retained in vector representations of sentences. We introduce a method of analysing the content of sentence embeddings based on universal probing tasks, along with the classification datasets for two contrasting languages. We perfor... | Empirical Linguistic Study of Sentence Embeddings |
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d5934502 | In this paper we describe current efforts aimed at adapting an existing Question Answering system to a new document set, namely research papers in the genomics domain. The system has been originally developed for another restricted domain, however it has already proved its portability. Nevertheless, the process is not ... | Answering Questions in the Genomics Domain |
d12745888 | This paper describes a system for representing knowledge about conventional metaphors for use by natural language analysis, generation and acquisition systems. A system of hierarchically related structured associations is used. These associations are implemented as a part of the KODIAK representation language. Particul... | Representing Regularities in the Metaphoric Lexicon |
d1168687 | Adjectives like good, great, and excellent are similar in meaning, but differ in intensity. Intensity order information is very useful for language learners as well as in several NLP tasks, but is missing in most lexical resources (dictionaries, WordNet, and thesauri). In this paper, we present a primarily unsupervised... | Good, Great, Excellent: Global Inference of Semantic Intensities |
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d14932895 | In the paper we describe a dependency parser that uses exact search and global learning(Crammer et al., 2006)to produce labelled dependency trees. Our system integrates the task of learning tree structure and learning labels in one step, using the same set of features for both tasks. During label prediction, the system... | Global Learning of Labelled Dependency Trees |
d11498688 | The Penn Discourse TreeBank (PDTB) is a new resource built on top of the Penn Wall Street Journal corpus, in which discourse connectives are annotated along with their arguments. Its use of standoff annotation allows integration with a stand-off version of the Penn TreeBank (syntactic structure) and PropBank (verbs and... | Annotation and Data Mining of the Penn Discourse TreeBank |
d245855694 | This paper describes the ISTIC's submission to the Triangular Machine Translation Task of Russian-to-Chinese machine translation for WMT' 2021. In order to fully utilize the provided corpora and promote the translation performance from Russian to Chinese, the pivot method is used in our system which pipelines the Russi... | ISTIC's Triangular Machine Translation System for WMT' 2021 |
d11643937 | This paper describes the construction and usage of the MOR and GRASP programs for part of speech tagging and syntactic dependency analysis of the corpora in the CHILDES and TalkBank databases. We have written MOR grammars for 11 languages and GRASP analyses for three. For English data, the MOR tagger reaches 98% accura... | Morphosyntactic Analysis of the CHILDES and TalkBank Corpora |
d22520284 | This paper presents the construction of an open-source dependency treebank of spoken Slovenian, the first syntactically annotated collection of spontaneous speech in Slovenian. The treebank has been manually annotated using the Universal Dependencies annotation scheme, a one-layer syntactic annotation scheme with a hig... | The Universal Dependencies Treebank of Spoken Slovenian |
d14792899 | As students read expository text, comprehension is improved by pausing to answer questions that reinforce the material. We describe an automatic question generator that uses semantic pattern recognition to create questions of varying depth and type for self-study or tutoring. Throughout, we explore how linguistic consi... | Linguistic Considerations in Automatic Question Generation |
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d8742160 | We present a system for verbal Word Sense Disambiguation (WSD) that is able to exploit additional information from parallel texts and lexicons. It is an extension of our previous WSD method(Dušek et al., 2014), which gave promising results but used only monolingual features. In the follow-up work described here, we hav... | Using Parallel Texts and Lexicons for Verbal Word Sense Disambiguation |
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d11468676 | In this paper we describe our entry to the Se-mEval 2015 clinical text analysis task. We participated only in the disorder attribute detection task 2a. Our main goal was to assess how well an information extraction system originally developed for a different task and domain can be utilized in this task. Our system, bas... | UTU: Adapting Biomedical Event Extraction System to Disorder Attribute Detection |
d14224094 | 摘要 腦性麻痺為發展性運動神經障礙，而研究腦性麻痺語言特徵及其發展模式對於幼童 早期語言發展的了解相當重要。母音在初期語言發展就已出現並且是了解語音聲學特性 的關鍵。本研究旨在檢視五位腦性麻痺嚴重程度不同以及年齡層介於三到七歲的腦性麻 痺幼童之母音共振峰頻率的差異。測量 F1 和 F2 的變化、母音空間分佈、母音空間面積。 本研究結果顯示：1)三歲到七歲之間沒有發現 F2 明顯的下降；2) 母音橢圓形軌跡都有 明顯的重疊；3)母音分佈沒有顯著的擴張，研究結果顯示這五位腦性麻痺小朋友有語言 運動神經不協調和發音發展遲緩的情形。 關鍵字: 母音共振峰頻率、母音空間、腦性麻痺、學習國語幼童AbstractCerebral palsy (C... | Variability in vowel formant frequencies of children with cerebral palsy |
d16742511 | NLP definitions of Terminology are usually application-dependent. IR terms are noun sequences that characterize topics. Terms can also be arguments for relations like abbreviation, definition or IS-A. In contrast, this paper explores techniques for extracting terms fitting a broader definition: noun sequences specific ... | Jargon-Term Extraction by Chunking |
d251980390 | Speech to speech translation: a communication boon, 2013 2. http://opennmt.net/ | A New Methodology to Maximize the Strength of SMT and NMT MT Summit XVI SMT vs. NMT |
d6348449 | We describe a new sentence realization framework for text-to-text applications. This framework uses IDL-expressions as a representation formalism, and a generation mechanism based on algorithms for intersecting IDL-expressions with probabilistic language models. We present both theoretical and empirical results concern... | Towards Developing Generation Algorithms for Text-to-Text Applications |
d219302057 | Machine Translation and the Lexicon Reviewed by Inderjeet Mani The MITRE Corporation | |
d7557552 | Many papers have been published on the knowledge base completion task in the past few years. Most of these introduce novel architectures for relation learning that are evaluated on standard datasets such as FB15k and WN18. This paper shows that the accuracy of almost all models published on the FB15k can be outperforme... | Knowledge Base Completion: Baselines Strike Back |
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