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[PDF] Top 20 MEANT 2 0: Accurate semantic MT evaluation for any output language

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MEANT 2 0: Accurate semantic MT evaluation for any output language

MEANT 2 0: Accurate semantic MT evaluation for any output language

... of MEANT on eval- uating translation adequacy by weighing the im- portance of each word by inverse document fre- quency when computing phrasal similarity, so that a higher score will be given to phrases with more ... See full document

9

On the reliability and inter annotator agreement of human semantic MT evaluation via HMEANT

On the reliability and inter annotator agreement of human semantic MT evaluation via HMEANT

... a semantic frame based approach to MT evaluation that we originally envisioned in Lo and Wu (2010) and then subsequently im- plemented and refined over a substantial series of develop- ment cycles ... See full document

6

Accurate semantic textual similarity for cleaning noisy parallel corpora using semantic machine translation evaluation metric: The NRC supervised submissions to the Parallel Corpus Filtering task

Accurate semantic textual similarity for cleaning noisy parallel corpora using semantic machine translation evaluation metric: The NRC supervised submissions to the Parallel Corpus Filtering task

... an MT system to translate the German side of the dirty corpus into ...the MT output from the four MT systems as measured by BLEU (Pap- ineni et ... See full document

9

Semantic Textual Similarity for MT evaluation

Semantic Textual Similarity for MT evaluation

... metric, MEANT, that assesses translation utility by matching semantic role ...Conceptually, MEANT is defined in terms of f-score, calculated by averaging the trans- lation accuracy for all frames in ... See full document

7

Fully Automatic Semantic MT Evaluation

Fully Automatic Semantic MT Evaluation

... the semantic frame alignment tasks per- formed within HMEANT can be successfully automated to produce a state-of-the-art automatic ...the semantic frame alignment, by demonstrating the effectiveness of a ... See full document

10

Accuracy and robustness in measuring the lexical similarity of semantic role fillers for automatic semantic MT evaluation

Accuracy and robustness in measuring the lexical similarity of semantic role fillers for automatic semantic MT evaluation

... Table 1 shows that the Jaccard coefficient performs con- sistently well and relatively out performs most other sim- ilarity metrics in comparision. It is surprising that the performance of all the metrics does not ... See full document

8

Better Semantic Frame Based MT Evaluation via Inversion Transduction Grammars

Better Semantic Frame Based MT Evaluation via Inversion Transduction Grammars

... ing semantic parses of the original foreign in- put sentence instead of a reference ...more accurate evaluation of phrasal similarity via cross-lingual translation probabili- ties, or (2) ... See full document

12

XMEANT: Better semantic MT evaluation without reference translations

XMEANT: Better semantic MT evaluation without reference translations

... of MEANT, that correlates even more closely with human translation adequacy judg- ments than MEANT, without the expensive human ...of semantic role fillers, and (2) fur- ther improved by ... See full document

7

Predicting Machine Translation Adequacy with Document Embeddings

Predicting Machine Translation Adequacy with Document Embeddings

... these evaluation metrics, several other metrics are used for the evaluation of MT out- ...by MEANT (Lo et al., 2012). MEANT, based on HMEANT (Lo and Wu, 2011a; Lo and Wu, 2011b; Lo and ... See full document

9

MEANT at WMT 2013: A Tunable, Accurate yet Inexpensive Semantic Frame Based MT Evaluation Metric

MEANT at WMT 2013: A Tunable, Accurate yet Inexpensive Semantic Frame Based MT Evaluation Metric

... the MT output to match the ...a semantic textual similarity metric based on a complex textual en- tailment ...the MT system development cy- cle for tuning due to expensive running ... See full document

7

Improving evaluation and optimization of MT systems against MEANT

Improving evaluation and optimization of MT systems against MEANT

... with MEANT- tuned systems that translate into Chinese, MEANT-tuned MT systems that trans- late into English also outperforms BLEU- tuned systems across commonly used MT evaluation ... See full document

8

Meteor Universal: Language Specific Translation Evaluation for Any Target Language

Meteor Universal: Language Specific Translation Evaluation for Any Target Language

... beneficial language specific resources employed in versions of Me- ...target language to learn parameters, Meteor Universal uses a sin- gle parameter set learned from pooling judgments from several ... See full document

5

Application and Evaluation of Language Learning Software in Teaching Foreign Languages

Application and Evaluation of Language Learning Software in Teaching Foreign Languages

... This version of the textbook is a general textbook for non-English majors in universities. The structure of this book is divided into four parts. Each part has different sections. Each section shows different functions. ... See full document

5

An Artificial Language Evaluation of Distributional Semantic Models

An Artificial Language Evaluation of Distributional Semantic Models

... Accuracy scores in Table 2 suggest that, even with small training data SVD can produce good vectors for the paradigmatic task. However, the performance of SGNS increases with more training data. This quick ... See full document

9

From dictations to clinical reports using machine translation

From dictations to clinical reports using machine translation

... MTPP output that were more sim- ilar to manual transcriptions of these dictations than to the ASR hypotheses that served as input to the ...the output of the MTPP when given the ASR hypothesis as input ... See full document

8

Semantic Evaluation for Spoken Language Systems

Semantic Evaluation for Spoken Language Systems

... SEMANTIC EVALUATION FOR SPOKEN LANGUAGE SYSTEMS S E M A N T I C E V A L U A T I O N F O R S P O K E N L A N G U A G E S Y S T E M S Robert C Moore Artificial Intelligence Center SRI International Menl[.] ... See full document

6

The design and implementation of a structured programming language with few arbitrary restrictions : the compilation phase : a dissertation presented in partial fulfilment of the requirements for the degree of Master of Science in Computer Science at Mass

The design and implementation of a structured programming language with few arbitrary restrictions : the compilation phase : a dissertation presented in partial fulfilment of the requirements for the degree of Master of Science in Computer Science at Massey University

... actions consist of checking for semantic correctness, storing information in the Symbol table or output of Intermediate Language operations and parameters into the Intermediate Language [r] ... See full document

144

EVALution 1 0: an Evolving Semantic Dataset for Training and Evaluation of Distributional Semantic Models

EVALution 1 0: an Evolving Semantic Dataset for Training and Evaluation of Distributional Semantic Models

... EVALution is designed as an evolving dataset including tuples representing semantic relations between word pairs. Compared to previous resources, it is characterized by i.) inter- nal consistency (i.e. few terms ... See full document

6

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Download Download PDF

... written language encompasses diverse stages of intricate cognitive processes (Kendeou et ...a language user is supposed to perform a number of particular tasks concurrently, associating words with their ... See full document

13

MT XINU Vol 0 pdf

MT XINU Vol 0 pdf

... Omission of - y keyletter results in a default comment line being inserted in form: date and time created IT /MM/DD HH:MM:SS by login The - y keyletter is valid only if the - i and/or -n[r] ... See full document

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