Search Results for "text aligner"
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Showing 14 open source projects for "text aligner"
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Tokenized Text Aligner
Aligns tokens in two versions of a text with differing tokenization.
...In its default implementation, it produces a human-readable CSV table associating tokens in text A with tokens in text B, and can also inject token-level annotation from text B to text A. The Aligner class on which the default implementation is based can be incorporated into more complex workflows. -
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Bowtie, an ultrafast, memory-efficient short read aligner for short DNA sequences (reads) from next-gen sequencers. Please cite: Langmead B, et al. Ultrafast and memory-efficient alignment of short DNA sequences to the human genome. Genome Biol 10:R25.
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OmegaT - multiplatform CAT tool
The free computer aided translation (CAT) tool for professionals
OmegaT is a free and open source multiplatform Computer Assisted Translation tool with fuzzy matching, translation memory, keyword search, glossaries, and translation leveraging into updated projects. -
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StyleTTS 2
Towards Human-Level Text-to-Speech through Style Diffusion
...StyleTTS2 supports both single-speaker and multi-speaker configurations, with the ability to sample or transfer styles from reference audio, making it powerful for expressive TTS and character voices. The repository includes training scripts, configuration files, and pre-trained auxiliary modules such as a text aligner, pitch extractor, and PL-BERT-based linguistic encoder. -
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Transformer TTS
Implementation of a Transformer based neural network
TransformerTTS is an implementation of a non-autoregressive Transformer-based neural network for text-to-speech, built with TensorFlow 2. It takes inspiration from architectures like FastSpeech, FastSpeech 2, FastPitch, and Transformer TTS, and extends them with its own aligner and forward models. The system separates alignment learning and acoustic modeling: an autoregressive Transformer is used as an aligner to extract phoneme-to-frame durations, while a non-autoregressive “ForwardTransformer” generates mel-spectrograms conditioned on text and durations. ... -
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Parallel text aligner dessigned to generate transation memories (TMX files) from two files tagged with any kind of XML-based tags. The application uses the tag structure and the text blok length to perform the alignment.
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A free computer-aided translation / computer-assisted translation (CAT) tool to align and converter bitext into TMX translation memory format to be used in other CAT tools by translators and other language professionals.
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t2t-pipe
automatic alignment pipeline for parallel treebanks
The *Tree-to-Tree (t2t) Alignment Pipe* is a collection of python scripts, co-ordinating the process of automatic alignment of parallel treebanks from plain text files with a single call from a unix command line. Supported Languages: DE, FR, EN -
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A translation tools suite for Computer-Aided Translation / Computer-Assisted Translation (CAT). A translation processor with translation memory, machine translation and project support, bitext aligner/converter, TMX validator, and others.
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OmegaT+ Computer Assisted Translation (CAT) tools platform that includes OmegaT+ (translation processor), bitext2tmx (aligner/TMX editor), and Validator (TMX validation).
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Built around LDC's champollion sentence aligner kernel, Champollion Tool Kit (CTK) aims to providing ready-to-use parallel text sentence alignment tools for as many language pairs as possible.
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Sanchay is a collection of tools and APIs for language researchers. It has some implementations of NLP algorithms, some flexible APIs, several user friendly annotation interfaces and Sanchay Query Language for language resources.
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A Java port of LDC's Champollion sentence aligner (http://champollion.sourceforge.net). Intended audience is Natural Language researchers wishing to sentence-align parallel text. In the future, Akerblad will extend Champollion with such features as rule
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mms-300m-1130-forced-aligner
CTC-based forced aligner for audio-text in 158 languages
mms-300m-1130-forced-aligner is a multilingual forced alignment model based on Meta’s MMS-300M wav2vec2 checkpoint, adapted for Hugging Face’s Transformers library. It supports forced alignment between audio and corresponding text across 158 languages, offering broad multilingual coverage. The model enables accurate word- or phoneme-level timestamping using Connectionist Temporal Classification (CTC) emissions.
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