Search Results for author:
Found 24 papers, 8 papers with code
A Parallel Corpus of Translationese
To validate the quality and reliability of the corpora, we replicated previous results of supervised and unsupervised identification of translationese, and further extended the experiments to additional datasets and languages.
A Corpus of Native, Non-native and Translated Texts
We describe a monolingual English corpus of original and (human) translated texts, with an accurate annotation of speaker properties, including the original language of the utterances and the speaker{'}s country of origin.
On the Similarities Between Native, Non-native and Translated Texts
We present a computational analysis of three language varieties: native, advanced non-native, and translation.
Unsupervised Identification of Translationese
We show that this is indeed the case, in a variety of evaluation scenarios.
Personalized Machine Translation: Preserving Original Author Traits
The language that we produce reflects our personality, and various personal and demographic characteristics can be detected in natural language texts.
Found in Translation: Reconstructing Phylogenetic Language Trees from Translations
Translation has played an important role in trade, law, commerce, politics, and literature for thousands of years.
The UN Parallel Corpus Annotated for Translation Direction
This work distinguishes between translated and original text in the UN protocol corpus.
Native Language Cognate Effects on Second Language Lexical Choice
We present a computational analysis of cognate effects on the spontaneous linguistic productions of advanced non-native speakers.
Learning Concept Abstractness Using Weak Supervision
We introduce a weakly supervised approach for inferring the property of abstractness of words and expressions in the complete absence of labeled data.
Native Language Identification with User Generated Content
We address the task of native language identification in the context of social media content, where authors are highly-fluent, advanced nonnative speakers (of English).
Controversy in Context
With the growing interest in social applications of Natural Language Processing and Computational Argumentation, a natural question is how controversial a given concept is.
CodeSwitch-Reddit: Exploration of Written Multilingual Discourse in Online Discussion Forums
In contrast to many decades of research on oral code-switching, the study of written multilingual productions has only recently enjoyed a surge of interest.
Say Anything: Automatic Semantic Infelicity Detection in L2 English Indefinite Pronouns
Computational research on error detection in second language speakers has mainly addressed clear grammatical anomalies typical to learners at the beginner-to-intermediate level.
Where New Words Are Born: Distributional Semantic Analysis of Neologisms and Their Semantic Neighborhoods
Besides presenting a new linguistic application of distributional semantics, this study tackles the linguistic question of the role of language-internal factors (in our case, sparsity) in language change motivated by language-external factors (reflected in frequency growth).
The Typology of Polysemy: A Multilingual Distributional Framework
Lexical semantic typology has identified important cross-linguistic generalizations about the variation and commonalities in polysemy patterns---how languages package up meanings into words.
Exploration of Gender Differences in COVID-19 Discourse on Reddit
Decades of research on differences in the language of men and women have established postulates about preferences in lexical, topical, and emotional expression between the two genders, along with their sociological underpinnings.
Pick a Fight or Bite your Tongue: Investigation of Gender Differences in Idiomatic Language Usage
A large body of research on gender-linked language has established foundations regarding cross-gender differences in lexical, emotional, and topical preferences, along with their sociological underpinnings.
We've had this conversation before: A Novel Approach to Measuring Dialog Similarity
The results demonstrate that our method outperforms the other approaches in capturing dialog flow, and is better aligned with the human perception of conversation similarity.
Quantifying Cognitive Factors in Lexical Decline
Specifically, we propose a variety of psycholinguistic factors -- semantic, distributional, and phonological -- that we hypothesize are predictive of lexical decline, in which words greatly decrease in frequency over time.
Gaining Insights into Unrecognized User Utterances in Task-Oriented Dialog Systems
The rapidly growing market demand for automatic dialogue agents capable of goal-oriented behavior has caused many tech-industry leaders to invest considerable efforts into task-oriented dialog systems.
Exploration of the Usage of Color Terms by Color-blind Participants in Online Discussion Platforms
Prominent questions about the role of sensory vs. linguistic input in the way we acquire and use language have been extensively studied in the psycholinguistic literature.
Reliable and Interpretable Drift Detection in Streams of Short Texts
Data drift is the change in model input data that is one of the key factors leading to machine learning models performance degradation over time.
Predicting Question-Answering Performance of Large Language Models through Semantic Consistency
Semantic consistency of a language model is broadly defined as the model's ability to produce semantically-equivalent outputs, given semantically-equivalent inputs.
We’ve had this conversation before: A Novel Approach to Measuring Dialog Similarity
The results demonstrate that our method outperforms the other approaches in capturing dialog flow, and is better aligned with the human perception of conversation similarity.
