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Articles 1 - 5 of 5
Full-Text Articles in Computational Linguistics
Improving Low-Resource Translation With Finite State Grammars, Nicholas J. Uva
Improving Low-Resource Translation With Finite State Grammars, Nicholas J. Uva
Dissertations, Theses, and Capstone Projects
Scarcity of training data continues to pose a problem for the development of neural machine translation systems for low-resource languages. This study develops a method for the incorporation of linguistic information into the training of neural machine translation models for low-resource languages, using morphological grammars created using finite state transducers. This study explores the benefits, historical background, and effectiveness of this approach. This study incorporates morphological tags into a pre-trained multilingual neural machine translation model using a dual encoder structure. This study finds an improvement in performance in the Irish-English translation scenario. This method offers promising results with low computational …
Predicting Language Proficiency Using A Multiple Regression Model, Madisen Barrieau
Predicting Language Proficiency Using A Multiple Regression Model, Madisen Barrieau
Senior Honors Theses
Businesses that design language learning products have a common goal to impart language proficiency to users. Many variables play a role in reaching language proficiency, including time spent in study, method of learning, use of technology, motivation, and more. This study involved creating several multiple regression models in R on a dataset featuring many of these variables. This research sought to identify the relative weight and measurability of these variables unto the goal of predicting language proficiency. Several regression models were created, and the best model showed that language similarity and length of residence in target culture, among other factors, …
Doing Away With Defaults: Motivation For A Gradient Parameter Space, Katherine Howitt
Doing Away With Defaults: Motivation For A Gradient Parameter Space, Katherine Howitt
Dissertations, Theses, and Capstone Projects
In this thesis, I propose a reconceptualization of the traditional syntactic parameter space of the principles and parameters framework (Chomsky, 1981). In lieu of binary parameter settings, parameter values exist on a gradient plane where a learner’s knowledge of their language is encoded in their confidence that a particular parametric target value, and thus grammatical construction of an encountered sentence, is likely to be licensed by their target grammar. First, I discuss other learnability models in the classic parameter space which lack either psychological plausibility, theoretical consistency, or some combination of the two. Then, I argue for the Gradient Parameter …
Perception & Perspective: An Analysis Of Discourse And Situational Factors In Reference Frame Selection, Robert J. Ross, Kavita E. Thomas
Perception & Perspective: An Analysis Of Discourse And Situational Factors In Reference Frame Selection, Robert J. Ross, Kavita E. Thomas
Conference papers
To integrate perception into dialogue, it is necessary to bind spatial language descriptions to reference frame use. To this end, we present an analysis of discourse and situational factors that may influence reference frame choice in dialogues. We show that factors including spatial orientation, task, self and other alignment, and dyad have an influence on reference frame use. We further show that a computational model to estimate reference frame based on these features provides results greater than both random and greedy reference frame selection strategies.
Misheard Me Oronyminator: Using Oronyms To Validate The Correctness Of Frequency Dictionaries, Jennifer G. Hughes
Misheard Me Oronyminator: Using Oronyms To Validate The Correctness Of Frequency Dictionaries, Jennifer G. Hughes
Master's Theses
In the field of speech recognition, an algorithm must learn to tell the difference between "a nice rock" and "a gneiss rock". These identical-sounding phrases are called oronyms. Word frequency dictionaries are often used by speech recognition systems to help resolve phonetic sequences with more than one possible orthographic phrase interpretation, by looking up which oronym of the root phonetic sequence contains the most-common words.
Our paper demonstrates a technique used to validate word frequency dictionary values. We chose to use frequency values from the UNISYN dictionary, which tallies each word on a per-occurance basis, using a proprietary text corpus, …