Improving the translation environment for professional translators

When using computer-aided translation systems in a typical, professional translation workflow, there are several stages at which there is room for improvement. The SCATE (Smart Computer-Aided Translation Environment) project investigated several of these aspects, both from a human-computer interaction point of view, as well as from a purely technological side. This paper describes the SCATE research with respect to improved fuzzy matching, parallel treebanks, the integration of translation memories with machine translation, quality estimation, terminology extraction from comparable texts, the use of speech recognition in the translation process, and human computer interaction and interface design for the professional translation environment. For each of these topics, we describe the experiments we performed and the conclusions drawn, providing an overview of the highlights of the entire SCATE project

Validation of the Reading Tendency Index in school-age children: Replication with a bilingual sample

Defining deficits in reading ability may be accomplished through the analysis of a child’s reading tendencies, representing a possible paradigm shift in the conceptualization and assessment of reading disabilities. Based on this premise, Mohl and colleagues (2018) developed a quantitative paradigm to measure reading tendency in children through performance on two lexical decision tasks (LDTs) that differentially rely on decoding and sightword reading abilities. The Reading Tendency Index (RTI; Mohl et al., 2018) is calculated from the differential between drift rates on the phonologic and orthographic LDTs. Scores closer to zero represent a balanced approach whereas scores as a negative or positive value suggest the tendency to rely on phonological decoding or sightword reading strategies, respectively. It was suggested that a balanced approach promotes more proficient reading abilities; however, this original study was performed with a small, male-only sample with a significant number of children with an ADHD diagnosis. The present study provided independent examination of the RTI paradigm, including the two LDT tasks and original calculations, to validate the tasks as a measure of reading abilities in a larger, representative sample of school-aged children. The present study involved the following goals: 1) to replicate the three-group reading tendency structure based on LDT performance in a larger representative sample of school-aged children, 2) to examine the construct validity of the RTI groupings and LDT tasks as a quantitative measure of reading ability, 3) to determine whether RTI group membership can be predicted based on reading and other cognitive skills, and 4) to explore performance differences, if any, in participants enrolled in French Immersion programs. The final sample included 92 participants aged 7 to 14 years (Mage = 9.96 years) recruited from English (n = 49) and French Immersion (n = 43) schools. Results indicated the following: 1) the three-group RTI structure was replicated in the larger sample of typically-developing school-aged children; 2) Sightword Readers had poorer performance on reading fluency, reading comprehension, and spelling than Balanced Readers and Decoders, but groups did not differ otherwise; 3) only reading comprehension predicted membership for the Sightword group; and 4) French Immersion students demonstrated similar patterns of performance on the RTI and other cognitive measures as English-only students. Supplemental post-hoc analyses were performed to explore different cut-off scores and methods for determining RTI groups. Implications and limitations of the current findings as well as considerations for future studies are discussed

Connectionist models of language learning: implications for writing pedagogy

Connectionism -an interdisciplinary approach that draws heaüly from hard science- promises to be the new paradigm shift for linguistics and psychology, and has important implications for both composition studies and the teaching of writing. The models are innovative primarily because -in a manner extendable to neurobiological reality- they process in a parallel rather than a serial manner and address subsymbolic rather tan symbolic representations. As neuroscientific knowledge expands, such models may be amended and developed to mirror learning of all types. Even at their current level of development, they proüde several important insights into the nature of cognition. This investigation uses connectionist assumptions as analytical tools to explain much about past theoretical frameworks in written composition, and -more significantly- to suggest some important Considerations for writing pedagogy

An investigation into the use of linguistic context in cursive script recognition by computer

The automatic recognition of hand-written text has been a goal for over thirty five years. The highly ambiguous nature of cursive writing (with high variability between not only different writers, but even between different samples from the same writer), means that systems based only on visual information are prone to errors. It is suggested that the application of linguistic knowledge to the recognition task may improve recognition accuracy. If a low-level (pattern recognition based) recogniser produces a candidate lattice (i.e. a directed graph giving a number of alternatives at each word position in a sentence), then linguistic knowledge can be used to find the 'best' path through the lattice. There are many forms of linguistic knowledge that may be used to this end. This thesis looks specifically at the use of collocation as a source of linguistic knowledge. Collocation describes the statistical tendency of certain words to co-occur in a language, within a defined range. It is suggested that this tendency may be exploited to aid automatic text recognition. The construction and use of a post-processing system incorporating collocational knowledge is described, as are a number of experiments designed to test the effectiveness of collocation as an aid to text recognition. The results of these experiments suggest that collocational statistics may be a useful form of knowledge for this application and that further research may produce a system of real practical use

Improving the Speech Intelligibility By Cochlear Implant Users

In this thesis, we focus on improving the intelligibility of speech for cochlear implants (CI) users. As an auditory prosthetic device, CI can restore hearing sensations for most patients with profound hearing loss in both ears in a quiet background. However, CI users still have serious problems in understanding speech in noisy and reverberant environments. Also, bandwidth limitation, missing temporal fine structures, and reduced spectral resolution due to a limited number of electrodes are other factors that raise the difficulty of hearing in noisy conditions for CI users, regardless of the type of noise. To mitigate these difficulties for CI listener, we investigate several contributing factors such as the effects of low harmonics on tone identification in natural and vocoded speech, the contribution of matched envelope dynamic range to the binaural benefits and contribution of low-frequency harmonics to tone identification in quiet and six-talker babble background. These results revealed several promising methods for improving speech intelligibility for CI patients. In addition, we investigate the benefits of voice conversion in improving speech intelligibility for CI users, which was motivated by an earlier study showing that familiarity with a talker’s voice can improve understanding of the conversation. Research has shown that when adults are familiar with someone’s voice, they can more accurately – and even more quickly – process and understand what the person is saying. This theory identified as the “familiar talker advantage” was our motivation to examine its effect on CI patients using voice conversion technique. In the present research, we propose a new method based on multi-channel voice conversion to improve the intelligibility of transformed speeches for CI patients

Speech and Language Outcomes in Adults and Children with Cochlear Implants

Cochlear implants (CIs) represent a significant engineering and medical milestone in the treatment of hearing loss for both adults and children. In this review, we provide a brief overview of CI technology, describe the benefits that CIs can provide to adults and children who receive them, and discuss the specific limitations and issues faced by CI users. We emphasize the relevance of CIs to the linguistics community by demonstrating how CIs successfully provide access to spoken language. Furthermore, CI research can inform our basic understanding of spoken word recognition in adults and spoken language development in children. Linguistics research can also help us address the major clinical issue of outcome variability and motivate the development of new clinical tools to assess the unique challenges of adults and children with CIs, as well as novel interventions for individuals with poor outcomes

Using sentence context and mouth cues to aid speech comprehension: an electroencephalographic study on Cochlear Implant users

The research project presented in the thesis explores the electrophysiological correlates of linguistic prediction and audio-visual speech processing in deaf people with Cochlear Implant (CI) and people with normal hearing, in order to explore possible group differences. We implement an experimental paradigm in which participants observe audio-visual speech stimuli that vary for predictability of the last word of the sentence (i.e. the target) and visibility of mouth articulatory movements. During the procedure, we record the electroencephalographic signal (EEG) in order to compare the different experimental conditions in terms of neural oscillations and Event Related Potential (ERP) response to the target word. We also administrate linguistic tests to participants in order to relate behavioural performance to the electrophysiological results. The thesis presents a theoretical overview on prediction in language comprehension, the neural correlates of prediction and audio-visual speech integration and previous studies exploring these processes in CI users. Then, it presents the methods used in the experiment and preliminary data from a subgroup of participants with CI

N400, P600, and Late Sustained Frontal Positivity Event-Related Brain Potentials Reflect Distinct Psycholinguistic Processes During the Comprehension of Contextually Ambiguous Narrative Discourses: Implications for the Neural Organization of the Language Processing System

Two studies were performed to investigate the temporal structure and organization of the language processing system during the comprehension of coherent contextually ambiguous narrative discourses. In Study 1, participants read short discourses that were contextually ambiguous if read without a descriptive title (Untitled group) or unambiguous with the title (Titled group). Participants identified the title of the discourses after reading 1-3 sentences. Given the unfinished next sentence, they performed a cloze procedure on the sentence-final word. For the Titled Group, cloze probability was greater to the last word of sentence 3 (Critical Word 3) than sentences 2 (Critical Word 2) and 1 (Critical Word 1). For the Untitled group, title identification accuracy was greater after reading the first two sentences than the first sentence and even more so after reading the full three-sentence discourses than the first two sentences alone. This study established 25 discourses in which the contexts were initially ambiguous but became increasingly clearer after reading Critical Word 2 and Critical Word 3. In Study 2, a different sample of participants read the discourses with (Titled Discourse group) or without (Untitled Discourse group) a descriptive title while undergoing high-density event-related potential (ERP) recording. For the Untitled Discourse group, N400 amplitudes became less negative from Critical Word 1 to Critical Word 2 and again to Critical Word 3, suggesting greater ease of lexical-semantic retrieval as the discourses unfolded. For this group, P600 amplitudes were larger to Critical Word 3 than Critical Word 2. Unexpectedly, a Late Sustained Frontal Positivity (SFP) ERP component occurred to both Critical Word 2 and Critical Word 3 for the Untitled Discourse group only. SFP results corresponded to the title identification findings from Study 1. Thus, it is proposed that the SFP reflects the resolution or revision of contextual ambiguity during discourse comprehension. Alternatively, the P600 is proposed to reflect the updating of the existing context of a discourse when an context is available or after the resolution of contextual ambiguity. Advisors: Dennis L. Molfese and Art C. Maerlende