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Found 337 papers, 23 papers with code
Speech and Language Resources for LVCSR of Russian
In this paper a method for the syllable concatenation and error correction is suggested and tested.
Customization of the Europarl Corpus for Translation Studies
Currently, the area of translation studies lacks corpora by which translation scholars can validate their theoretical claims, for example, regarding the scope of the characteristics of the translation relation.
A Parameterized and Annotated Spoken Dialog Corpus of the CMU Let's Go Bus Information System
Standardized corpora are the foundation for spoken language research.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
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On Using Linked Data for Language Resource Sharing in the Long Tail of the Localisation Market
Innovations in localisation have focused on the collection and leverage of language resources.
Rule-based Reordering Space in Statistical Machine Translation
In Statistical Machine Translation (SMT), the constraints on word reorderings have a great impact on the set of potential translations that are explored.
Comparison of Gender- and Speaker-adaptive Emotion Recognition
In this contribution, we argue that adding information unique for each speaker, i. e., by using speaker identification techniques, improves emotion recognition simply by adding this additional information to the feature vector of the statistical classification algorithm.
ColLex.en: Automatically Generating and Evaluating a Full-form Lexicon for English
The paper describes a procedure for the automatic generation of a large full-form lexicon of English.
Lemmatization and Morphological Tagging in German and Latin: A Comparison and a Survey of the State-of-the-art
This paper relates to the challenge of morphological tagging and lemmatization in morphologically rich languages by example of German and Latin.
Could Speaker, Gender or Age Awareness be beneficial in Speech-based Emotion Recognition?
Emotion Recognition (ER) is an important part of dialogue analysis which can be used in order to improve the quality of Spoken Dialogue Systems (SDSs).
AppDialogue: Multi-App Dialogues for Intelligent Assistants
Users will interact with an individual app on smart devices (e. g., phone, TV, car) to fulfill a specific goal (e. g. find a photographer), but users may also pursue more complex tasks that will span multiple domains and apps (e. g. plan a wedding ceremony).
TGermaCorp -- A (Digital) Humanities Resource for (Computational) Linguistics
In order to introduce TGermaCorp in comparison to more homogeneous corpora of contemporary everyday language, quantitative assessments of syntactic and lexical diversity are provided.
TTS for Low Resource Languages: A Bangla Synthesizer
We present a text-to-speech (TTS) system designed for the dialect of Bengali spoken in Bangladesh.
EstNLTK - NLP Toolkit for Estonian
Although there are many tools for natural language processing tasks in Estonian, these tools are very loosely interoperable, and it is not easy to build practical applications on top of them.
Resources for building applications with Dependency Minimal Recursion Semantics
We describe resources aimed at increasing the usability of the semantic representations utilized within the DELPH-IN (Deep Linguistic Processing with HPSG) consortium.
Best of Both Worlds: Making Word Sense Embeddings Interpretable
Word sense embeddings represent a word sense as a low-dimensional numeric vector.
Finding Recurrent Features of Image Schema Gestures: the FIGURE corpus
The stimulus terms have been compiled mainly from image schemata from psycholinguistics, since such schemata provide a panoply of abstract contents derived from natural language use.
SatiricLR: a Language Resource of Satirical News Articles
We test the viability of our data on the task of classification of satire.
TLT-CRF: A Lexicon-supported Morphological Tagger for Latin Based on Conditional Random Fields
We present a morphological tagger for Latin, called TTLab Latin Tagger based on Conditional Random Fields (TLT-CRF) which uses a large Latin lexicon.
OPFI: A Tool for Opinion Finding in Polish
The paper contains a description of OPFI: Opinion Finder for the Polish Language, a freely available tool for opinion target extraction.
TASTY: Interactive Entity Linking As-You-Type
We introduce TASTY (Tag-as-you-type), a novel text editor for interactive entity linking as part of the writing process.
Unsupervised Abbreviation Detection in Clinical Narratives
The disambiguation of period characters is therefore an important task for sentence and abbreviation detection.
Challenges and Solutions for Latin Named Entity Recognition
Although spanning thousands of years and genres as diverse as liturgy, historiography, lyric and other forms of prose and poetry, the body of Latin texts is still relatively sparse compared to English.
Interactive Relation Extraction in Main Memory Database Systems
We present INDREX-MM, a main memory database system for interactively executing two interwoven tasks, declarative relation extraction from text and their exploitation with SQL.
TextImager: a Distributed UIMA-based System for NLP
More and more disciplines require NLP tools for performing automatic text analyses on various levels of linguistic resolution.
Towards grounding computational linguistic approaches to readability: Modeling reader-text interaction for easy and difficult texts
Computational approaches to readability assessment are generally built and evaluated using gold standard corpora labeled by publishers or teachers rather than being grounded in observations about human performance.
A Comparison Between Morphological Complexity Measures: Typological Data vs. Language Corpora
Language complexity is an intriguing phenomenon argued to play an important role in both language learning and processing.
A Proposition-Based Abstractive Summariser
It is a further development of an existing summariser that has an incremental, proposition-based content selection process but lacks a natural language (NL) generator for the final output.
Generating flexible proper name references in text: Data, models and evaluation
The model relies on the REGnames corpus, a dataset with 53, 102 proper name references to 1, 000 people in different discourse contexts.
Supervised and Unsupervised Word Sense Disambiguation on Word Embedding Vectors of Unambigous Synonyms
This paper compares two approaches to word sense disambiguation using word embeddings trained on unambiguous synonyms.
Addressing Problems across Linguistic Levels in SMT: Combining Approaches to Model Morphology, Syntax and Lexical Choice
Many errors in phrase-based SMT can be attributed to problems on three linguistic levels: morphological complexity in the target language, structural differences and lexical choice.
Alto: Rapid Prototyping for Parsing and Translation
We present Alto, a rapid prototyping tool for new grammar formalisms.
The ContrastMedium Algorithm: Taxonomy Induction From Noisy Knowledge Graphs With Just A Few Links
In this paper, we present ContrastMedium, an algorithm that transforms noisy semantic networks into full-fledged, clean taxonomies.
A tool for extracting sense-disambiguated example sentences through user feedback
This paper describes an application system aimed to help lexicographers in the extraction of example sentences for a given headword based on its different senses.
Producing Unseen Morphological Variants in Statistical Machine Translation
Translating into morphologically rich languages is difficult.
Understanding the Semantics of Narratives of Interpersonal Violence through Reader Annotations and Physiological Reactions
Interpersonal violence (IPV) is a prominent sociological problem that affects people of all demographic backgrounds.
Using Linked Disambiguated Distributional Networks for Word Sense Disambiguation
We introduce a new method for unsupervised knowledge-based word sense disambiguation (WSD) based on a resource that links two types of sense-aware lexical networks: one is induced from a corpus using distributional semantics, the other is manually constructed.
Audience Segmentation in Social Media
Understanding the social media audience is becoming increasingly important for social media analysis.
Unsupervised Does Not Mean Uninterpretable: The Case for Word Sense Induction and Disambiguation
On the example of word sense induction and disambiguation (WSID), we show that it is possible to develop an interpretable model that matches the state-of-the-art models in accuracy.
Statistical Models for Unsupervised, Semi-Supervised Supervised Transliteration Mining
After training, the unlabeled data is disambiguated based on the posterior probabilities of the two sub-models.
Generating Contrastive Referring Expressions
The referring expressions (REs) produced by a natural language generation (NLG) system can be misunderstood by the hearer, even when they are semantically correct.
Parameter Free Hierarchical Graph-Based Clustering for Analyzing Continuous Word Embeddings
Word embeddings are high-dimensional vector representations of words and are thus difficult to interpret.
A Multimodal Dialogue System for Medical Decision Support inside Virtual Reality
We present a multimodal dialogue system that allows doctors to interact with a medical decision support system in virtual reality (VR).
Word Sense Disambiguation with Recurrent Neural Networks
This paper presents a neural network architecture for word sense disambiguation (WSD).
Coarse-To-Fine Parsing for Expressive Grammar Formalisms
We generalize coarse-to-fine parsing to grammar formalisms that are more expressive than PCFGs and/or describe languages of trees or graphs.
